Variability in neuronal activity in primate cortex during working memory tasks

Shafi, M.; Zhou, Y.; Quintana, J.; Chow, C.; Fuster, J.; Bodner, M.

doi:10.1016/j.neuroscience.2006.12.072

Cited by 215Neural dynamics and brain functionCognitive Abilities and TestingMemory and Neural Mechanisms

Variability in neuronal activity in primate cortex during working memory tasks

Shafi, M., Zhou, Y., Quintana, J., Chow, C., Fuster, J., Bodner, M.·2007·Neuroscience

DOI 10.1016/j.neuroscience.2006.12.072

Open this paper in CoChat — free account

Abstract

Persistent elevated neuronal activity has been identified as the neuronal correlate of working memory. It is generally assumed in the literature and in computational and theoretical models of working memory that memory-cell activity is stable and replicable; however, this assumption may be an artifact of the averaging of data collected across trials, and needs experimental verification. In this study, we introduce a classification scheme to characterize the firing frequency trends of cells recorded from the cortex of monkeys during performance of working memory tasks. We examine the frequency statistics and variability of firing during baseline and memory periods. We also study the behavior of cells on individual trials and across trials, and explore the stability of cellular firing during the memory period. We find that cells from different firing-trend classes possess markedly different statistics. We also find that individual cells show substantial variability in their firing behavior across trials, and that firing frequency also varies markedly over the course of a single trial. Finally, the average frequency distribution is wider, the magnitude of the frequency increases from baseline to memory smaller, and the magnitude of frequency decreases larger than is generally assumed. These results may serve as a guide in the evaluation of current theories of the cortical mechanisms of working memory.

Integrity signals

Registry

Crossref · 10.1016/j.neuroscience.2006.12.072

Cites

107 of 107 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Besides reward memory, the activity of primate cortical neurons reflects other types of short-term memory.
“Besides the memory for reward, the activity of primate cortical neurons reflects other types of short-term memory.”
From A reservoir of time constants for memory traces in cortical neurons (2011) · cites this paper as [43]
The time course of memory-related activity varies across different neurons and different task protocols, including persistent, ramping, and multi-phasic activity.
“The time course of memory-related activity varies across different neurons and different task protocols, including persistent, ramping, and multi-phasic activity41-43.”
From A reservoir of time constants for memory traces in cortical neurons (2011) · cites this paper as [43]

An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803 · see citing works
The Organization of Behavior
Hebb, D. O. (2005) · doi:10.4324/9781410612403 · Cited by 9,825 · see citing works
The organization of behavior.
indicated, N. A. (1950) · Journal of Consulting Psychology · doi:10.1037/h0049612 · Cited by 6,984 · see citing works
Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
Maass, W., Natschläger, T., & Markram, H. (2002) · Neural Computation · doi:10.1162/089976602760407955 · Cited by 4,025 · see citing works
Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex
Funahashi, S., Bruce, C. J., & Goldman-Rakic, P. S. (1989) · Journal of Neurophysiology · doi:10.1152/jn.1989.61.2.331 · Cited by 2,685 · see citing works
Cellular basis of working memory
Goldman-Rakic, P. S. (1995) · Neuron · doi:10.1016/0896-6273(95)90304-6 · Cited by 2,663 · see citing works
Modeling Brain Function
Amit, D. J. (1989) · Cambridge University Press eBooks · doi:10.1017/cbo9780511623257 · Cited by 2,279 · see citing works
The prefrontal cortex
Fuster, J. M. (1997) · Cited by 2,095 · see citing works
Self-citation
Neuron Activity Related to Short-Term Memory
Fuster, J. M., & Alexander, G. E. (1971) · Science · doi:10.1126/science.173.3997.652 · Cited by 2,085 · see citing works
Self-citation
Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons
Brunel, N. (2000) · Journal of Computational Neuroscience · doi:10.1023/a:1008925309027 · Cited by 1,733 · see citing works
Neural Mechanisms of Visual Working Memory in Prefrontal Cortex of the Macaque
Miller, E. K., Erickson, C. A., & Desimone, R. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-16-05154.1996 · Cited by 1,441 · see citing works
Synaptic Mechanisms and Network Dynamics Underlying Spatial Working Memory in a Cortical Network Model
Compte, A. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.9.910 · Cited by 1,143 · see citing works
A neural basis for visual search in inferior temporal cortex
Chelazzi, L., Miller, E. K., Duncan, J., & Desimone, R. (1993) · Nature · doi:10.1038/363345a0 · Cited by 1,114 · see citing works
Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex
Amit, D. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.3.237 · Cited by 1,061 · see citing works
Temporal structure in neuronal activity during working memory in macaque parietal cortex
Pesaran, B., Pezaris, J. S., Sahani, M., Mitra, P. P., & Andersen, R. A. (2002) · Nature Neuroscience · doi:10.1038/nn890 · Cited by 1,029 · see citing works
Memory related motor planning activity in posterior parietal cortex of macaque
Gnadt, J. W., & Andersen, R. A. (1988) · Experimental Brain Research · doi:10.1007/bf00271862 · Cited by 998 · see citing works
Unit activity in prefrontal cortex during delayed-response performance: neuronal correlates of transient memory.
Fuster, J. M. (1973) · Journal of Neurophysiology · doi:10.1152/jn.1973.36.1.61 · Cited by 995 · see citing works
Self-citation
Neuronal correlate of pictorial short-term memory in the primate temporal cortexYasushi Miyashita
Miyashita, Y., & Chang, H. S. (1988) · Nature · doi:10.1038/331068a0 · Cited by 880 · see citing works
Integration of What and Where in the Primate Prefrontal Cortex
Rao, S. C., Rainer, G., & Miller, E. K. (1997) · Science · doi:10.1126/science.276.5313.821 · Cited by 877 · see citing works
Synaptic basis of cortical persistent activity: the importance of NMDA receptors to working memory
Wang, X.-J. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-21-09587.1999 · Cited by 859 · see citing works
Neuronal correlates of parametric working memory in the prefrontal cortex
Romo, R., Brody, C. D., Hernández, A., & Lemus, L. (1999) · Nature · doi:10.1038/20939 · Cited by 822 · see citing works
Graded persistent activity in entorhinal cortex neurons
Egorov, A. V., Hamam, B. N., Fransén, E., Hasselmo, M. E., & Alonso, A. A. (2002) · Nature · doi:10.1038/nature01171 · Cited by 769 · see citing works
Memory in the Cerebral Cortex
FOSTER, J. M. (1996) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-199606000-00014 · Cited by 761 · see citing works
Activity of neurons in anterior inferior temporal cortex during a short- term memory task
Miller, E. K., Li, L., & Desimone, R. (1993) · Journal of Neuroscience · doi:10.1523/jneurosci.13-04-01460.1993 · Cited by 732 · see citing works
Responses of Neurons in Inferior Temporal Cortex During Memory-Guided Visual Search
Chelazzi, L., Duncan, J., Miller, E. K., & Desimone, R. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.6.2918 · Cited by 726 · see citing works
Matching Patterns of Activity in Primate Prefrontal Area 8a and Parietal Area 7ip Neurons During a Spatial Working MemoryTask
Chafee, M. V., & Goldman, P. S. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.79.6.2919 · Cited by 655 · see citing works
Eye position effects on visual, memory, and saccade-related activity in areas LIP and 7a of macaque
Andersen, R. A., Bracewell, R. M., Barash, S., Gnadt, J., & Fogassi, L. (1990) · Journal of Neuroscience · doi:10.1523/jneurosci.10-04-01176.1990 · Cited by 628 · see citing works
Effects of Neuromodulation in a Cortical Network Model of Object Working Memory Dominated by Recurrent Inhibition
Brunel, N., & Wang, X.-J. (2001) · Journal of Computational Neuroscience · doi:10.1023/a:1011204814320 · Cited by 620 · see citing works
Dopamine-Mediated Stabilization of Delay-Period Activity in a Network Model of Prefrontal Cortex
Durstewitz, D., Seamans, J. K., & B, T. J. S. A. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.83.3.1733 · Cited by 617 · see citing works
Flutter Discrimination: neural codes, perception, memory and decision making
Romo, R., & Salinas, E. (2003) · Nature reviews. Neuroscience · doi:10.1038/nrn1058 · Cited by 580 · see citing works
Erratum to: Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition
Brunel, N., & Wang, X. (2014) · Journal of Computational Neuroscience · doi:10.1007/s10827-014-0506-8 · Cited by 538 · see citing works
Cross-modal and cross-temporal association in neurons of frontal cortex
Fuster, J. M., Bodner, M., & Kroger, J. K. (2000) · Nature · doi:10.1038/35012613 · Cited by 528 · see citing works
Self-citation
Neuronal firing in the inferotemporal cortex of the monkey in a visual memory task
Fuster, J. M., & Jervey, J. (1982) · Journal of Neuroscience · doi:10.1523/jneurosci.02-03-00361.1982 · Cited by 463 · see citing works
Self-citation
Memory in the cerebral cortex
Fuster, J. M. (1999) · Cited by 456 · see citing works
Self-citation
State dependent activity in monkey visual cortex
Haenny, P. E., & Schiller, P. H. (1988) · Experimental Brain Research · doi:10.1007/bf00247569 · Cited by 443 · see citing works
A role for NMDA-receptor channels in working memory
Lisman, J. E., Fellous, J., & Wang, X. (1998) · Nature Neuroscience · doi:10.1038/1086 · Cited by 438 · see citing works
Inferotemporal Neurons Distinguish and Retain Behaviorally Relevant Features of Visual Stimuli
Fuster, J. M., & Jervey, J. P. (1981) · Science · doi:10.1126/science.7233192 · Cited by 436 · see citing works
Self-citation
Reentry and the Problem of Integrating Multiple Cortical Areas: Simulation of Dynamic Integration in the Visual System
Tononi, G., Sporns, O., & Edelman, G. M. (1992) · Cerebral Cortex · doi:10.1093/cercor/2.4.310 · Cited by 435 · see citing works
Saccade-related activity in the lateral intraparietal area. I. Temporal properties; comparison with area 7a
Barash, S., Bracewell, R. M., Fogassi, L., Gnadt, J., & Andersen, R. A. (1991) · Journal of Neurophysiology · doi:10.1152/jn.1991.66.3.1095 · Cited by 428 · see citing works
Dopamine D1/D5 receptor modulation of excitatory synaptic inputs to layer V prefrontal cortex neurons
Seamans, J. K., Durstewitz, D., Christie, B. R., Stevens, C. F., & B, T. J. S. A. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.1.301 · Cited by 399 · see citing works
Active maintenance in prefrontal area 46 creates distractor-resistant memory
Sakai, K., Rowe, J. B., & Passingham, R. E. (2002) · Nature Neuroscience · doi:10.1038/nn846 · Cited by 390 · see citing works
The Hebbian paradigm reintegrated: local reverberations as internal representations
Amit, D. J. (1995) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00040164 · Cited by 388 · see citing works
Neuronal correlates of decision-making in secondary somatosensory cortex
Romo, R., Hernández, A., Zainos, A., Lemus, L., & Brody, C. D. (2002) · Nature Neuroscience · doi:10.1038/nn950 · Cited by 387 · see citing works
From Perception to Action: Temporal Integrative Functions of Prefrontal and Parietal Neurons
Quintana, J. (1999) · Cerebral Cortex · doi:10.1093/cercor/9.3.213 · Cited by 369 · see citing works
Self-citation
State dependent activity in monkey visual cortex
Haenny, P. E., Maunsell, J. H. R., & Schiller, P. H. (1988) · Experimental Brain Research · doi:10.1007/bf00247570 · Cited by 364 · see citing works
Modeling Brain Function: The World of Attractor Neural Networks
de Callataÿ, A. (1990) · Trends in Neurosciences · doi:10.1016/0166-2236(90)90155-4 · Cited by 361 · see citing works
Timing and Neural Encoding of Somatosensory Parametric Working Memory in Macaque Prefrontal Cortex
Brody, C. D. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg100 · Cited by 350 · see citing works
Prefrontal unit activity and delayed response: Relation to cue location versus direction of response
Niki, H., & Watanabe, M. (1976) · Brain Research · doi:10.1016/0006-8993(76)90924-0 · Cited by 325 · see citing works
A Model of Visuospatial Working Memory in Prefrontal Cortex: Recurrent Network and Cellular Bistability
Camperi, M., & Wang, X. (1998) · Journal of Computational Neuroscience · doi:10.1023/a:1008837311948 · Cited by 323 · see citing works
The LONI Pipeline Processing Environment
Rex, D., Jeffrey, Q., & Toga, A. W. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00185-x · Cited by 310 · see citing works
Model for a robust neural integrator
Koulakov, A. A., Raghavachari, S., Kepecs, Á., & Lisman, J. E. (2002) · Nature Neuroscience · doi:10.1038/nn893 · Cited by 308 · see citing works
Cortical activity flips among quasi-stationary states.
Abeles, M., Bergman, H., Gat, I., Meilijson, I., Seidemann, E., Tishby, N., & Vaadia, E. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.19.8616 · Cited by 295 · see citing works
Basic mechanisms for graded persistent activity: discrete attractors, continuous attractors, and dynamic representations
Brody, C. D., Romo, R., & Kepecs, A. (2003) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(03)00050-3 · Cited by 284 · see citing works
Prefrontal and parietal contributions to spatial working memory
Curtis, C. E. (2005) · Neuroscience · doi:10.1016/j.neuroscience.2005.04.070 · Cited by 283 · see citing works
Memory from the dynamics of intrinsic membrane currents
Marder, E., Abbott, L. F., Turrigiano, G. G., Liu, Z., & Golowasch, J. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.24.13481 · Cited by 281 · see citing works
Mechanism of Graded Persistent Cellular Activity of Entorhinal Cortex Layer V Neurons
Fransén, E., Tahvildari, B., Egorov, A. V., Hasselmo, M. E., & Alonso, A. A. (2006) · Neuron · doi:10.1016/j.neuron.2006.01.036 · Cited by 279 · see citing works
Stationary Bumps in Networks of Spiking Neurons
Laing, C. R., & Chow, C. C. (2001) · Neural Computation · doi:10.1162/089976601750264974 · Cited by 277 · see citing works
Self-citation
Inferotemporal units in selective visual attention and short-term memory
Fuster, J. M. (1990) · Journal of Neurophysiology · doi:10.1152/jn.1990.64.3.681 · Cited by 275 · see citing works
Self-citation
A spiking network model of short-term active memory
Zipser, D., Kehoe, B., Littlewort, G. C., & Fuster, J. M. (1993) · Journal of Neuroscience · doi:10.1523/jneurosci.13-08-03406.1993 · Cited by 256 · see citing works
Self-citation
Temporally Irregular Mnemonic Persistent Activity in Prefrontal Neurons of Monkeys During a Delayed Response Task
Compte, A., Constantinidis, C., Tegner, J. N., Raghavachari, S., Chafee, M. V., Goldman, P. S., & Wang, X. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00949.2002 · Cited by 256 · see citing works
Neuronal activity in posterior parietal area 7a during the delay periods of a spatial memory task
Constantinidis, C., & Steinmetz, M. A. (1996) · Journal of Neurophysiology · doi:10.1152/jn.1996.76.2.1352 · Cited by 248 · see citing works
Robust Spatial Working Memory through Homeostatic Synaptic Scaling in Heterogeneous Cortical Networks
Renart, A., Song, P., & Wang, X. (2003) · Neuron · doi:10.1016/s0896-6273(03)00255-1 · Cited by 243 · see citing works
Dynamics of a recurrent network of spiking neurons before and following learning
Amit, D. J., & Brunel, N. (1997) · Network Computation in Neural Systems · doi:10.1088/0954-898x_8_4_003 · Cited by 241 · see citing works
Extraretinal representations in area V4 in the macaque monkey
Maunsell, J. H. R., Sclar, G., Nealey, T. A., & DePriest, D. D. (1991) · Visual Neuroscience · doi:10.1017/s095252380001035x · Cited by 237 · see citing works
Visuo-tactile cross-modal associations in cortical somatosensory cells
Zhou, Y., & Fuster, J. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.17.9777 · Cited by 233 · see citing works
Self-citation
Responses of Macaque Perirhinal Neurons during and after Visual Stimulus Association Learning
Erickson, C. A., & Desimone, R. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-23-10404.1999 · Cited by 221 · see citing works
Differential activity of prefrontal units during right and left delayed response trials
Niki, H. (1974) · Brain Research · doi:10.1016/0006-8993(74)90324-2 · Cited by 220 · see citing works
Reentrant signaling among simulated neuronal groups leads to coherency in their oscillatory activity.
Sporns, O., Gally, J. A., Reeke, G. N., & Edelman, G. M. (1989) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.86.18.7265 · Cited by 216 · see citing works
Prefrontal representation of stimulus attributes during delay tasks. I. Unit activity in cross-temporal integration of sensory and sensory-motor information
Quintana, J., Yajeya, J., & Fuster, J. M. (1988) · Brain Research · doi:10.1016/0006-8993(88)90436-2 · Cited by 210 · see citing works
Self-citation
Self-Organizing Neural Integrator Predicts Interval Times through Climbing Activity
Durstewitz, D. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-12-05342.2003 · Cited by 194 · see citing works
Unit activity in monkey parietal cortex related to haptic perception and temporary memory
Koch, K. W., & Fuster, J. M. (1989) · Experimental Brain Research · doi:10.1007/bf00247889 · Cited by 191 · see citing works
Self-citation
Mnemonic neuronal activity in somatosensory cortex.
Zhou, Y. D., & Fuster, J. M. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.19.10533 · Cited by 182 · see citing works
Self-citation
Turning On and Off with Excitation: The Role of Spike-Timing Asynchrony and Synchrony in Sustained Neural Activity
Gutkin, B. S., Laing, C. R., Colby, C. L., Chow, C. C., & Ermentrout, B. (2001) · Journal of Computational Neuroscience · doi:10.1023/a:1012837415096 · Cited by 172 · see citing works
Self-citation
Robust Persistent Neural Activity in a Model Integrator with Multiple Hysteretic Dendrites per Neuron
Goldman, M. S. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg095 · Cited by 169 · see citing works
Simultaneously recorded single units in the frontal cortex go through sequences of discrete and stable states in monkeys performing a delayed localization task
Seidemann, E., Meilijson, I., Abeles, M., Bergman, H., & Vaadia, E. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-02-00752.1996 · Cited by 165 · see citing works
The dynamical stability of reverberatory neural circuits
Tegnér, J., Compte, A., & Wang, X.-J. (2002) · Biological Cybernetics · doi:10.1007/s00422-002-0363-9 · Cited by 150 · see citing works
Temporal integration by calcium dynamics in a model neuron
Loewenstein, Y., & Sompolinsky, H. (2003) · Nature Neuroscience · doi:10.1038/nn1109 · Cited by 148 · see citing works
A recurrent network model of somatosensory parametric working memory in the prefrontal cortex
Miller, P. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg101 · Cited by 144 · see citing works
Climbing Neuronal Activity as an Event-Based Cortical Representation of Time
Reutimann, J., Yakovlev, V., Fusi, S., & Senn, W. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.4098-03.2004 · Cited by 143 · see citing works
Simulations of the Role of the Muscarinic-Activated Calcium-Sensitive Nonspecific Cation Current<i>I<sub>NCM</sub></i>in Entorhinal Neuronal Activity during Delayed Matching Tasks
Fransén, E., Alonso, A. A., & Hasselmo, M. E. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-03-01081.2002 · Cited by 137 · see citing works
Auditory memory cells in dorsolateral prefrontal cortex
Bodner, M., Kroger, J. K., & Fuster, J. M. (1996) · Neuroreport · doi:10.1097/00001756-199608120-00006 · Cited by 134 · see citing works
Self-citation
Ionic Mechanism of the Slow Afterdepolarization Induced by Muscarinic Receptor Activation in Rat Prefrontal Cortex
Haj-Dahmane, S., & Andrade, R. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.3.1197 · Cited by 126 · see citing works
Sensory Modality Specificity of Neural Activity Related to Memory in Visual Cortex
Gibson, J. R., & Maunsell, J. H. R. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.78.3.1263 · Cited by 118 · see citing works
Redundancy Reduction and Sustained Firing with Stochastic Depressing Synapses
Goldman, M. S., Maldonado, P. E., & Abbott, L. F. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-02-00584.2002 · Cited by 117 · see citing works
Timecourse of object‐related neural activity in the primate prefrontal cortex during a short‐term memory task
Rainer, G., & Miller, E. K. (2002) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2002.01958.x · Cited by 113 · see citing works
Inter-trial neuronal activity in inferior temporal cortex: a putative vehicle to generate long-term visual associations
Yakovlev, V., Fusi, S., Berman, E., & Zohary, E. (1998) · Nature Neuroscience · doi:10.1038/1131 · Cited by 108 · see citing works
Neuronal activity of somatosensory cortex in a cross-modal (visuo-haptic) memory task
Zhou, Y., & Fuster, J. M. (1997) · Experimental Brain Research · doi:10.1007/pl00005783 · Cited by 102 · see citing works
Self-citation
Responses of inferior temporal cortex and hippocampal neurons during delayed matching-to-sample in monkeys (Macaca fascicularis).
Colombo, M., & Gross, C. G. (1994) · Behavioral Neuroscience · doi:10.1037/0735-7044.108.3.443 · Cited by 101 · see citing works
Retrospective and prospective persistent activity induced by Hebbian learning in a recurrent cortical network
Mongillo, G., Amit, D. J., & Brunel, N. (2003) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2003.02908.x · Cited by 100 · see citing works
Responses of inferior temporal cortex and hippocampal neurons during delayed matching-to-sample in monkeys (Macaca fascicularis).
Colombo, M., & Gross, C. G. (1994) · Behavioral Neuroscience · doi:10.1037//0735-7044.108.3.443 · Cited by 97 · see citing works
Beyond bistability: Biophysics and temporal dynamics of working memory
Durstewitz, D., & Seamans, J. K. (2005) · Neuroscience · doi:10.1016/j.neuroscience.2005.06.094 · Cited by 93 · see citing works
A Model That Accounts for Activity in Primate Frontal Cortex during a Delayed Matching-to-Sample Task
Moody, S. L., Wise, S. P., di Pellegrino, G., & Zipser, D. (1998) · Journal of Neuroscience · doi:10.1523/jneurosci.18-01-00399.1998 · Cited by 90 · see citing works
Dynamics and Plasticity of Stimulus-selective Persistent Activity in Cortical Network Models
Brunel, N. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg096 · Cited by 83 · see citing works
Computational and in vitro studies of persistent activity: Edging towards cellular and synaptic mechanisms of working memory
Compte, A. (2005) · Neuroscience · doi:10.1016/j.neuroscience.2005.06.011 · Cited by 81 · see citing works
Persistent activity and the single-cell frequency–current curve in a cortical network model
Brunel, N. (2000) · Network Computation in Neural Systems · doi:10.1088/0954-898x_11_4_302 · Cited by 74 · see citing works
Multiple-object Working Memory--A Model for Behavioral Performance
Amit, D. J. (2003) · Cerebral Cortex · doi:10.1093/cercor/13.5.435 · Cited by 58 · see citing works
Dopamine controls fundamental cognitive operations of multi-target spatial working memory
Tanaka, S. (2002) · Neural Networks · doi:10.1016/s0893-6080(02)00050-3 · Cited by 46 · see citing works
Learning in realistic networks of spiking neurons and spike‐driven plastic synapses
Mongillo, G., Curti, E., Romani, S., & Amit, D. J. (2005) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2005.04087.x · Cited by 45 · see citing works
A Large-scale Neurocomputational Model of Task-oriented Behavior Selection and Working Memory in Prefrontal Cortex
Chadderdon, G. L., & Sporns, O. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/089892906775783624 · Cited by 42 · see citing works
A Large-scale Neurocomputational Model of Task-oriented Behavior Selection and Working Memory in Prefrontal Cortex
Chadderdon, G. L., & Sporns, O. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2006.18.2.242 · Cited by 37 · see citing works
Power-Law Neuronal Fluctuations in a Recurrent Network Model of Parametric Working Memory
Miller, P. C., & Wang, X. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00491.2005 · Cited by 33 · see citing works
Bistable behaviour in a neocortical neurone model
Delord, B., Klaassen, A. J., Burnod, Y., Costalat, R., & Guigon, E. (1997) · Neuroreport · doi:10.1097/00001756-199703030-00040 · Cited by 23 · see citing works
Symmetric temporal patterns in cortical spike trains during performance of a short-term memory task
Bodner, M., Zhou, Y., Shaw, G. L., & Fuster, J. M. (1997) · Neurological Research · doi:10.1080/01616412.1997.11758601 · Cited by 16 · see citing works
Self-citation
A Model that Accounts for Activity Prior to Sensory Inputs and Responses During Matching-to-Sample Tasks
Moody, S. L., & Wise, S. P. (2000) · Journal of Cognitive Neuroscience · doi:10.1162/089892900562255 · Cited by 13 · see citing works
A Model Study of Cellular Short-Term Memory Produced by Slowly Inactivating Potassium Conductances
Delord, B., Baraduc, P., Costalat, R., Burnod, Y., & Guigon, E. (2000) · Journal of Computational Neuroscience · doi:10.1023/a:1008902110844 · Cited by 12 · see citing works
Sustained activity with low firing rate in a recurrent network regulated by spike-timing-dependent plasticity
Kitano, K., Câteau, H., & Fukai, T. (2002) · Neurocomputing · doi:10.1016/s0925-2312(02)00404-6 · Cited by 10 · see citing works
On duration and dopamine modulation of sustained activity in prefrontal cortex using conductance-based network models
Camperi, M., & Manı́as, M. V. (2003) · Neurocomputing · doi:10.1016/s0925-2312(02)00743-9 · Cited by 2 · see citing works

Flagged first, then by citations

Sorted by citations

Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939 · see citing works
Synaptic theory of working memory
Mongillo, G., Barak, O., & Tsodyks, M. (2008) · Science · doi:10.1126/science.1150769 · Cited by 1,253 · see citing works
Changing concepts of working memory
Ma, W. J., Masud Husain, B., & Bays, P. M. (2014) · Nature Neuroscience · doi:10.1038/nn.3655 · Cited by 1,128 · see citing works
The log-dynamic brain: how skewed distributions affect network operations
Buzsáki, G., & Mizuseki, K. (2014) · Nature reviews. Neuroscience · doi:10.1038/nrn3687 · Cited by 964 · see citing works
‘Activity-silent’ working memory in prefrontal cortex: a dynamic coding framework
Stokes, M. G. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.05.004 · Cited by 850 · see citing works
Gamma and Beta Bursts Underlie Working Memory
Lundqvist, M., Rose, J., Herman, P., Brincat, S. L., Buschman, T. J., & Miller, E. K. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.028 · Cited by 846 · see citing works
Working Memory 2.0
Miller, E. K., Lundqvist, M., & Bastos, A. M. (2018) · Neuron · doi:10.1016/j.neuron.2018.09.023 · Cited by 797 · see citing works
Neurocognitive Architecture of Working Memory
Eriksson, J., Vogel, E. K., Lansner, A., Bergström, F., & Nyberg, L. H. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.020 · Cited by 655 · see citing works
Cortex and memory: emergence of a new paradigm
Fuster, J. M. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21280 · Cited by 559 · see citing works
Self-citation
Bump attractor dynamics in prefrontal cortex explains behavioral precision in spatial working memory
Wimmer, K., Nykamp, D. Q., Constantinidis, C., & Compte, A. (2014) · Nature Neuroscience · doi:10.1038/nn.3645 · Cited by 453 · see citing works
Stable population coding for working memory coexists with heterogeneous neural dynamics in prefrontal cortex
Murray, J. D., Bernacchia, A., Roy, N. A., Constantinidis, C., Romo, R., & Wang, X. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1619449114 · Cited by 381 · see citing works
Factorial comparison of working memory models.
van den Berg, R., Awh, E., & Ma, W. J. (2014) · Psychological Review · doi:10.1037/a0035234 · Cited by 311 · see citing works
Gamma and beta bursts during working memory readout suggest roles in its volitional control
Lundqvist, M., Herman, P., Warden, M. R., Brincat, S. L., & Miller, E. K. (2018) · Nature Communications · doi:10.1038/s41467-017-02791-8 · Cited by 299 · see citing works
A reservoir of time constants for memory traces in cortical neurons
Bernacchia, A., Seo, H., Lee, D., & Wang, X.-J. (2011) · Nature Neuroscience · doi:10.1038/nn.2752 · Cited by 292 · see citing works
Working Memory: Delay Activity, Yes! Persistent Activity? Maybe Not
Lundqvist, M., Herman, P. A., & Miller, E. K. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2485-17.2018 · Cited by 284 · see citing works
Dissociable Decoding of Spatial Attention and Working Memory from EEG Oscillations and Sustained Potentials
Bae, G., & Luck, S. J. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2860-17.2017 · Cited by 268 · see citing works
On the Distribution of Firing Rates in Networks of Cortical Neurons
Roxin, A., Brunel, N., Hansel, D., Mongillo, G., & van Vreeswijk, C. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1677-11.2011 · Cited by 246 · see citing works
Comparing the prefrontal cortex of rats and primates: Insights from electrophysiology
Seamans, J. K., Lapish, C. C., & Durstewitz, D. (2008) · Neurotoxicity Research · doi:10.1007/bf03033814 · Cited by 244 · see citing works
Stable and Dynamic Coding for Working Memory in Primate Prefrontal Cortex
Spaak, E., Watanabe, K., Funahashi, S., & Stokes, M. G. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3364-16.2017 · Cited by 229 · see citing works
Mechanisms of Persistent Activity in Cortical Circuits: Possible Neural Substrates for Working Memory
Zylberberg, J., & Strowbridge, B. W. (2017) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-070815-014006 · Cited by 192 · see citing works
Bistable, Irregular Firing and Population Oscillations in a Modular Attractor Memory Network
Lundqvist, M., Compte, A., & Lansner, A. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000803 · Cited by 173 · see citing works
From fixed points to chaos: Three models of delayed discrimination
Barak, O., Sussillo, D., Romo, R., Tsodyks, M. V., & Abbott, L. F. (2013) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.02.002 · Cited by 172 · see citing works
Computing by Robust Transience: How the Fronto-Parietal Network Performs Sequential, Category-Based Decisions
Chaisangmongkon, W., Swaminathan, S. K., Freedman, D. J., & Wang, X. (2017) · Neuron · doi:10.1016/j.neuron.2017.03.002 · Cited by 159 · see citing works
Distinct and Dynamic ON and OFF Neural Ensembles in the Prefrontal Cortex Code Social Exploration
Liang, B., Zhang, L., Barbera, G., Fang, W., Zhang, J., Chen, X., Chen, R., Li, Y., & Lin, D. (2018) · Neuron · doi:10.1016/j.neuron.2018.08.043 · Cited by 170 · see citing works
The what, where and how of delay activity
Sreenivasan, K. K., & D’Esposito, M. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0176-7 · Cited by 156 · see citing works
Reconciling persistent and dynamic hypotheses of working memory coding in prefrontal cortex
Cavanagh, S. E., Towers, J. P., Wallis, J. D., Hunt, L. T., & Kennerley, S. W. (2018) · Nature Communications · doi:10.1038/s41467-018-05873-3 · Cited by 162 · see citing works
Neuroimaging Study Designs, Computational Analyses and Data Provenance Using the LONI Pipeline
Dinov, I. D., Lozev, K., Petrosyan, P., Liu, Z., Eggert, P., Pierce, J., Zamanyan, A., Chakrapani, S., Horn, J. D. V., Parker, D. S., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013070 · Cited by 136 · see citing works
Short-Term Plasticity Explains Irregular Persistent Activity in Working Memory Tasks
Hansel, D., & Mato, G. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3455-12.2013 · Cited by 135 · see citing works
Intrinsic neuronal dynamics predict distinct functional roles during working memory
Wasmuht, D., Spaak, E., Buschman, T. J., Miller, E. K., & Stokes, M. G. (2018) · Nature Communications · doi:10.1038/s41467-018-05961-4 · Cited by 124 · see citing works
A Spiking Working Memory Model Based on Hebbian Short-Term Potentiation
Fiebig, F., & Lansner, A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1989-16.2016 · Cited by 121 · see citing works
A Diversity of Intrinsic Timescales Underlie Neural Computations
Cavanagh, S. E., Hunt, L. T., & Kennerley, S. W. (2020) · Frontiers in Neural Circuits · doi:10.3389/fncir.2020.615626 · Cited by 109 · see citing works
Computational significance of transient dynamics in cortical networks
Durstewitz, D., & Deco, G. (2007) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2007.05976.x · Cited by 90 · see citing works
Population-wide distributions of neural activity during perceptual decision-making
Wohrer, A., Humphries, M. D., & Machens, C. K. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.09.004 · Cited by 89 · see citing works
Attractor Dynamics in Networks with Learning Rules Inferred from In Vivo Data
Pereira, U., & Brunel, N. (2018) · Neuron · doi:10.1016/j.neuron.2018.05.038 · Cited by 89 · see citing works
Reevaluating the Role of Persistent Neural Activity in Short-Term Memory
Masse, N. Y., Rosen, M. C., & Freedman, D. J. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.12.014 · Cited by 79 · see citing works
Bistability and Spatiotemporal Irregularity in Neuronal Networks with Nonlinear Synaptic Transmission
Mongillo, G., Hansel, D., & van Vreeswijk, C. (2012) · Physical Review Letters · doi:10.1103/physrevlett.108.158101 · Cited by 85 · see citing works
Modeling Working Memory in a Spiking Neuron Network Accompanied by Astrocytes
Gordleeva, S., Tsybina, Y., Krivonosov, M., Ivanchenko, M., Zaikin, A. A., Kazantsev, V., & Gorban, A. N. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.631485 · Cited by 79 · see citing works
Persistent Activity During Working Memory From Front to Back
Curtis, C. E., & Sprague, T. C. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.696060 · Cited by 82 · see citing works
Cortical feedback loops bind distributed representations of working memory
Voitov, I., & Mrsic‐Flogel, T. D. (2022) · Nature · doi:10.1038/s41586-022-05014-3 · Cited by 86 · see citing works
Music training relates to the development of neural mechanisms of selective auditory attention
Strait, D. L., Slater, J., O’Connell, S. R., & Kraus, N. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.01.001 · Cited by 76 · see citing works
Representation and computation in visual working memory
Bays, P. M., Schneegans, S., Ma, W. J., & Brady, T. F. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01871-2 · Cited by 75 · see citing works
Memory-Guided Sensory Comparisons in the Prefrontal Cortex: Contribution of Putative Pyramidal Cells and Interneurons
Hussar, C. R., & Pasternak, T. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5135-11.2012 · Cited by 70 · see citing works
Time-invariant working memory representations in the presence of code-morphing in the lateral prefrontal cortex
Parthasarathy, A., Tang, C., Herikstad, R., Cheong, L. F., Yen, S., & Libedinsky, C. (2019) · Nature Communications · doi:10.1038/s41467-019-12841-y · Cited by 71 · see citing works
The Importance of Single-Trial Analyses in Cognitive Neuroscience
Stokes, M. G., & Spaak, E. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.05.008 · Cited by 66 · see citing works
Can attractor network models account for the statistics of firing during persistent activity in prefrontal cortex?
Barbieri, F. (2008) · Frontiers in Neuroscience · doi:10.3389/neuro.01.003.2008 · Cited by 60 · see citing works
Cognitive Networks (Cognits) Process and Maintain Working Memory
Fuster, J. M. (2022) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.790691 · Cited by 59 · see citing works
Self-citation
Common Rules Guide Comparisons of Speed and Direction of Motion in the Dorsolateral Prefrontal Cortex
Hussar, C. R., & Pasternak, T. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4075-12.2013 · Cited by 52 · see citing works
Oscillatory recurrent gated neural integrator circuits (ORGaNICs), a unifying theoretical framework for neural dynamics
Heeger, D. J., & Mackey, W. E. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1911633116 · Cited by 54 · see citing works
Stimulus Dependence of Local Field Potential Spectra: Experiment versus Theory
Barbieri, F., Mazzoni, A., Logothetis, N. K., Panzeri, S., & Brunel, N. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.5365-13.2014 · Cited by 53 · see citing works
Hippocampal information processing across sleep/wake cycles.
Mizuseki, K., & Miyawaki, H. (2017) · Neurosciences research · doi:10.1016/j.neures.2017.04.018 · Cited by 52 · see citing works
Exact neural mass model for synaptic-based working memory
Taher, H., Torcini, A., & Olmi, S. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008533 · Cited by 55 · see citing works
Dynamic population coding and its relationship to working memory
Meyers, E. M. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00225.2018 · Cited by 53 · see citing works
Implications of synaptic biophysics for recurrent network dynamics and active memory
Durstewitz, D. (2009) · Neural Networks · doi:10.1016/j.neunet.2009.07.016 · Cited by 48 · see citing works
Coding with transient trajectories in recurrent neural networks
Bondanelli, G., & Ostojic, S. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007655 · Cited by 50 · see citing works
Conjunctive representation of what and when in monkey hippocampus and lateral prefrontal cortex during an associative memory task
Cruzado, N. A., Tiganj, Z., Brincat, S. L., Miller, E. K., & Howard, M. W. (2020) · Hippocampus · doi:10.1002/hipo.23282 · Cited by 43 · see citing works
Neural population dynamics of human working memory
Li, H.-H., & Curtis, C. E. (2023) · Current Biology · doi:10.1016/j.cub.2023.07.067 · Cited by 48 · see citing works
Adaptive Spontaneous Transitions between Two Mechanisms of Numerical Averaging
Brezis, N., Bronfman, Z. Z., & Usher, M. (2015) · Scientific Reports · doi:10.1038/srep10415 · Cited by 47 · see citing works
The dynamics of disordered dialogue: Prefrontal, hippocampal and thalamic miscommunication underlying working memory deficits in schizophrenia
Kupferschmidt, D. A., & Gordon, J. A. (2018) · Brain and Neuroscience Advances · doi:10.1177/2398212818771821 · Cited by 44 · see citing works
Learning to represent continuous variables in heterogeneous neural networks
Darshan, R., & Rivkind, A. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110612 · Cited by 37 · see citing works
Oscillations in working memory and neural binding: A mechanism for multiple memories and their interactions
Pina, J. E., Bodner, M., & Ermentrout, B. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006517 · Cited by 42 · see citing works
Self-citation
Neural correlates of short-term memory in primate auditory cortex
Bigelow, J., Rossi, B., & Poremba, A. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00250 · Cited by 39 · see citing works
Working Memory Cells' Behavior May Be Explained by Cross-Regional Networks with Synaptic Facilitation
Verduzco-Flores, S. O., Bodner, M., Ermentrout, B., Fuster, J. M., & Zhou, Y. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006399 · Cited by 39 · see citing works
Self-citation
Stress-Induced Impairment of a Working Memory Task: Role of Spiking Rate and Spiking History Predicted Discharge
Devilbiss, D. M., Jenison, R. L., & Berridge, C. W. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002681 · Cited by 39 · see citing works
Neural Evidence for Non-conscious Working Memory
Bergström, F., & Eriksson, J. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx193 · Cited by 39 · see citing works
Intermittent rate coding and cue-specific ensembles support working memory
Panichello, M. F., Jonikaitis, D., Oh, Y. J., Zhu, S., Trepka, E. B., & Moore, T. (2024) · Nature · doi:10.1038/s41586-024-08139-9 · Cited by 47 · see citing works
Gamma and Beta Oscillations in Human MEG Encode the Contents of Vibrotactile Working Memory
von Lautz, A. H., Herding, J., Ludwig, S., Nierhaus, T., Maeß, B., Villringer, A., & Blankenburg, F. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00576 · Cited by 37 · see citing works
Neuronal spike-rate adaptation supports working memory in language processing
Fitz, H., Uhlmann, M., den Broek, D. V., Duarte, R., Peter Hagoort, A., & Petersson, K. M. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2000222117 · Cited by 35 · see citing works
Reactivation in Working Memory: An Attractor Network Model of Free Recall
Lansner, A., Marklund, P., Sikström, S., & Nilsson, L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073776 · Cited by 32 · see citing works
Processing of communication sounds: Contributions of learning, memory, and experience
Poremba, A., Bigelow, J., & Rossi, B. (2013) · Hearing Research · doi:10.1016/j.heares.2013.06.005 · Cited by 33 · see citing works
Distributed and Associative Working Memory
Zhou, Y.-D., Ardestani, A., & Fuster, J. M. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm106 · Cited by 32 · see citing works
Self-citation
Representational Pattern Similarity of Electrical Brain Activity Reveals Rapid and Specific Prediction during Language Comprehension
Hubbard, R. J., & Federmeier, K. D. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab087 · Cited by 31 · see citing works
Forgetting Leads to Chaos in Attractor Networks
Pereira, U., Aljadeff, J., & Brunel, N. (2023) · Physical Review X · doi:10.1103/physrevx.13.011009 · Cited by 33 · see citing works
Overview of Prefrontal Functions
Fuster, J. M. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-407815-4.00008-8 · Cited by 32 · see citing works
Self-citation
Effective Visual Working Memory Capacity: An Emergent Effect from the Neural Dynamics in an Attractor Network
Dempere‐Marco, L., Melcher, D., & Deco, G. (2012) · PLoS ONE · doi:10.1371/journal.pone.0042719 · Cited by 31 · see citing works
Encoding of social novelty by sparse GABAergic neural ensembles in the prelimbic cortex
Zhao, Z., Zeng, F., Wang, H., Wu, R., Chen, L., Wu, Y., Li, S., Shao, J., Wang, Y., Wu, J., et al. (2022) · Science Advances · doi:10.1126/sciadv.abo4884 · Cited by 31 · see citing works
Representation and computation in working memoryPreprint
Bays, P. M., Schneegans, S., Ma, W. J., & Brady, T. F. (2022) · doi:10.31234/osf.io/kubr9 · Cited by 31 · see citing works
An Excitatory Neural Assembly Encodes Short-Term Memory in the Prefrontal Cortex
Tian, Y., Yang, C., Cui, Y., Su, F., Wang, Y., Wang, Y., Yuan, P., Shang, S., Li, H., Zhao, J., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.01.050 · Cited by 28 · see citing works
Functional dissociation of anterior cingulate cortex and intraparietal sulcus in visual working memory
Duma, G. M., Mento, G., Cutini, S., Sessa, P., Baillet, S., Brigadoi, S., & Dell’Acqua, R. (2019) · Cortex · doi:10.1016/j.cortex.2019.09.009 · Cited by 29 · see citing works
Synaptic augmentation in a cortical circuit model reproduces serial dependence in visual working memory
Bliss, D. P., & D’Esposito, M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0188927 · Cited by 28 · see citing works
The time-course of component processes of selective attention
Wen, T., Duncan, J., & Mitchell, D. J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.05.067 · Cited by 28 · see citing works
Information Theoretic Approaches to Deciphering the Neural Code with Functional Fluorescence Imaging
Climer, J. R., & Dombeck, D. A. (2021) · eNeuro · doi:10.1523/eneuro.0266-21.2021 · Cited by 26 · see citing works
Self-Consistent Scheme for Spike-Train Power Spectra in Heterogeneous Sparse Networks
Pena, R. F. O., Vellmer, S., Bernardi, D., Roque, A. C., & Lindner, B. (2018) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2018.00009 · Cited by 27 · see citing works
Physical Principles for Scalable Neural Recording
Marblestone, A. H., Zamft*, B. M., Maguire, Y. G., Shapiro, M. G., Cybulski, T. R., Glaser, J. I., eAmodei, D., eStranges, P. B., eKalhor, R., Dalrymple, D., et al. (2013) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.3389/fncom.2013.00137 · Cited by 266 · see citing works
Multiplexing working memory and time in the trajectories of neural networks
Zhou, S., Seay, M. J., Taxidis, J., Golshani, P., & Buonomano, D. V. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01592-y · Cited by 25 · see citing works
Effect of Heterogeneity on Decorrelation Mechanisms in Spiking Neural Networks: A Neuromorphic-Hardware Study
Pfeil, T., Jordan, J., Tetzlaff, T., Grübl, A., Schemmel, J., Diesmann, M., & Meier, K. (2016) · RWTH Publications (RWTH Aachen) · Cited by 25 · see citing works
Modeling neuropathologies as disruption of normal sequence generation in working memory networks
Verduzco-Flores, S. O., Ermentrout, B., & Bodner, M. (2011) · Neural Networks · doi:10.1016/j.neunet.2011.09.007 · Cited by 25 · see citing works
Self-citation
Canonical Cortical Circuit Model Explains Rivalry, Intermittent Rivalry, and Rivalry Memory
Vattikuti, S., Thangaraj, P., Xie, H. W., Gotts, S. J., Martin, A. D., & Chow, C. C. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004903 · Cited by 24 · see citing works
Self-citation
Dynamic Coding for Flexible Cognitive Control
Stokes, M. G., Buschman, T. J., & Miller, E. K. (2017) · Wiley eBooks · doi:10.1002/9781118920497.ch13 · Cited by 25 · see citing works
Static and dynamic coding in distinct cell types during associative learning in the prefrontal cortex
Ceccarelli, F., Ferrucci, L., Londei, F., Ramawat, S., Brunamonti, E., & Genovesio, A. (2023) · Nature Communications · doi:10.1038/s41467-023-43712-2 · Cited by 23 · see citing works
Neuronal response impedance mechanism implementing cooperative networks with low firing rates and μs precision
Vardi, R., Goldental, A., Marmari, H., Brama, H., Stern, E. A., Sardi, S., Sabo, P., & Kanter, I. (2015) · Frontiers in Neural Circuits · doi:10.3389/fncir.2015.00029 · Cited by 23 · see citing works
Differential effects of cholinergic and noradrenergic neuromodulation on spontaneous cortical network dynamics
Schmidt, S. L., Chew, E. Y., Bennett, D., Hammad, M. A., & Frӧhlich, F. (2013) · Neuropharmacology · doi:10.1016/j.neuropharm.2013.04.045 · Cited by 23 · see citing works
Brain Networks of Maintenance, Inhibition and Disinhibition During Working Memory
Kang, C., Li, Y., Novák, D., Zhang, Y., Zhou, Q., & Hu, Y. S. (2020) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2020.2997827 · Cited by 22 · see citing works
Early and late components of EEG delay activity correlate differently with scene working memory performance
Ellmore, T. M., Ng, K., & Plaska, C. R. (2017) · PLoS ONE · doi:10.1371/journal.pone.0186072 · Cited by 19 · see citing works
State-Dependent Regulation of Cortical Processing Speed via Gain Modulation
Wyrick, D. G., & Mazzucato, L. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1895-20.2021 · Cited by 20 · see citing works
Maintenance of color memoranda in activity-quiescent working memory states: Evidence from impulse perturbation
Kandemir, G., Wilhelm, S. A., Axmacher, N., & Akyürek, E. G. (2024) · iScience · doi:10.1016/j.isci.2024.109565 · Cited by 18 · see citing works
Logarithmic distributions prove that intrinsic learning is Hebbian
Scheler, G. (2017) · F1000Research · doi:10.12688/f1000research.12130.2 · Cited by 25 · see citing works
Long-Tailed Characteristic of Spiking Pattern Alternation Induced by Log-Normal Excitatory Synaptic Distribution
Nobukawa, S., Nishimura, H., Wagatsuma, N., Ando, S., & Yamanishi, T. (2020) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.3015208 · Cited by 16 · see citing works
Gamma and beta bursts during working memory read-out suggest roles in its volitional controlPreprint
Lundqvist, M., Herman, P. A., Warden, M. R., Brincat, S. L., & Miller, E. K. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/122598 · Cited by 16 · see citing works
Conditional Bistability, a Generic Cellular Mnemonic Mechanism for Robust and Flexible Working Memory Computations
Rodriguez, G., Sarazin, M., Clemente, A., Holden, S., Paz, J. T., & Delord, B. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.1992-17.2017 · Cited by 15 · see citing works
Revisiting Persistent Neuronal Activity During Covert Spatial Attention
Amengual, J. L., & Hamed, S. B. (2021) · Frontiers in Neural Circuits · doi:10.3389/fncir.2021.679796 · Cited by 14 · see citing works

Working Memory Cells' Behavior May Be Explained by Cross-Regional Networks with Synaptic Facilitation
Verduzco-Flores, S. O., Bodner, M., Ermentrout, B., Fuster, J. M., & Zhou, Y. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006399 · Cited by 39 · see citing works
Self-citation
Single-neuron and population measures of neuronal activity in working memory tasks
Mozumder, R., & Constantinidis, C. (2023) · Journal of Neurophysiology · doi:10.1152/jn.00245.2023 · Cited by 4 · see citing works
Timing and neural encoding of somatosensory parametric working memory in macaque prefrontal cortex. Cereb Cortex 13: 1196–1207
Brody, C. D., Hernández, A., Zainos, A., & Romo, R. (2003)
Timing and Neural Encoding of Somatosensory Parametric Working Memory in Macaque Prefrontal Cortex
Brody, C. D. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg100 · Cited by 350 · see citing works
Working Memory Activity and the Single Cell Frequency-Current Curve in a Cortical Network Model
Brunel, N. (1999)

Authors: Shafi, M., Zhou, Y., Quintana, J., Chow, C., Fuster, J., & Bodner, M.
Affiliations: University of California, Los Angeles (US)
Johns Hopkins University (US)
University of Pittsburgh (US)
Corresponding author: Fuster, J.
Bodner, M.
ORCID: Shafi, M.
Chow, C.
Fuster, J.
Bodner, M.
Venue: Neuroscience
Publisher: Elsevier BV
Published: 2007-05
Volume: 146
Issue: 3
Pages: 1082-1108
ISSN: 0306-4522 (ISSN-L)
DOI: 10.1016/j.neuroscience.2006.12.072
OpenAlex: W1963850213
Cited by: 215
References: 105
Citations by year: 2026: 2 · 2025: 15 · 2024: 9 · 2023: 14 · 2022: 16 · 2021: 20 · 2020: 15 · 2019: 10 · 2018: 22 · 2017: 20 · 2016: 12 · 2015: 10 · 2014: 9 · 2013: 11 · 2012: 7
FWCI: 2.83
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Neuroscience (publishedVersion)
PubMed (publishedVersion)
Funders: Whitehall Foundation
Mind and Life Institute (MH-01508)
National Institute of Mental Health (MH-25082, MH-51697)
Alfred P. Sloan Foundation
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Keywords: working memory, firing rate, persistent neuronal activity, primate cortex, single-unit recording, trial-to-trial variability, baseline activity
MeSH terms: Algorithms, Animals, Haplorhini, Cerebral Cortex, Data Interpretation, Statistical, Electrophysiology, Extracellular Space, Memory, Short-Term, Nerve Net, Neurons, Parietal Lobe, Prefrontal Cortex

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Variability in neuronal activity in primate cortex during working memory tasks

Abstract

Integrity signals

Claims the paper makes

Claims other papers make about this one

Cites

Cited by

Related

Record

About these checks