Functional, But Not Anatomical, Separation of “What” and “When” in Prefrontal Cortex
Open accessAbstract
How does the brain store information over a short period of time? Typically, the short-term memory of items or values is thought to be stored in the persistent activity of neurons in higher cortical areas. However, the activity of these neurons often varies strongly in time, even if time is unimportant for whether or not rewards are received. To elucidate this interaction of time and memory, we reexamined the activity of neurons in the prefrontal cortex of monkeys performing a working memory task. As often observed in higher cortical areas, different neurons have highly heterogeneous patterns of activity, making interpretation of the data difficult. To overcome these problems, we developed a method that finds a new representation of the data in which heterogeneity is much reduced, and time- and memory-related activities became separate and easily interpretable. This new representation consists of a few fundamental activity components that capture 95% of the firing rate variance of >800 neurons. Surprisingly, the memory-related activity components account for <20% of this firing rate variance. The observed heterogeneity of neural responses results from random combinations of these fundamental components. Based on these components, we constructed a generative linear model of the network activity. The model suggests that the representations of time and memory are maintained by separate mechanisms, even while sharing a common anatomical substrate. Testable predictions of this hypothesis are proposed. We suggest that our method may be applied to data from other tasks in which neural responses are highly heterogeneous across neurons, and dependent on more than one variable.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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 [42]
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 [42]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444 · see citing works
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162 · see citing works
Advances in Neural Information Processing Systems 19
(2007) · The MIT Press eBooks · doi:10.52202/085713 · Cited by 16,037 · see citing works
Nonlinear Dimensionality Reduction by Locally Linear Embedding
Roweis, S. T., & Saul, L. K. (2000) · Science · doi:10.1126/science.290.5500.2323 · Cited by 14,965 · see citing works
Gaussian Processes for Machine Learning
Rasmussen, C. E., & Williams, C. K. I. (2005) · doi:10.7551/mitpress/3206.001.0001 · Cited by 11,705 · see citing works
Information theory, inference, and learning algorithms
(2004) · Choice Reviews Online · doi:10.5860/choice.41-5949 · Cited by 6,535 · see citing works
Independent Component Analysis
Hyvärinen, A., Karhunen, J., & Erkki Oja, A. (2001) · Wiley eBooks · doi:10.1002/0471221317 · Cited by 5,003 · see citing works
Probabilistic Principal Component Analysis
Tipping, M. E., & Bishop, C. M. (1999) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00196 · Cited by 3,679 · see citing works
Faisal, A. A., Selen, L. P. J., & Wolpert, D. M. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2258 · Cited by 2,883 · 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
Koch, C. (1998) · Oxford University Press eBooks · doi:10.1093/oso/9780195104912.001.0001 · Cited by 2,306 · see citing works
Nonlinear Time Series Analysis
(2005) · Technometrics · doi:10.1198/tech.2005.s306 · Cited by 2,108 · see citing works
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
Spike Timing–Dependent Plasticity: A Hebbian Learning Rule
Caporale, N., & Dan, Y. (2008) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.31.060407.125639 · Cited by 1,997 · see citing works
Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses
Arieli, A., Sterkin, A., Grinvald, A., & Aertsen, A. (1996) · Science · doi:10.1126/science.273.5283.1868 · Cited by 1,660 · see citing works
Roitman, J. D., & Shadlen, M. N. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-21-09475.2002 · Cited by 1,589 · 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
Internally Generated Cell Assembly Sequences in the Rat Hippocampus
Pastalkova, E., Itskov, V., Amarasingham, A., & Buzsáki, G. (2008) · Science · doi:10.1126/science.1159775 · Cited by 1,301 · see citing works
Neural Control of Voluntary Movement Initiation
Hanes, D. P., & Schall, J. D. (1996) · Science · doi:10.1126/science.274.5286.427 · Cited by 1,145 · see citing works
Truccolo, W., Eden, U. T., Fellows, M. R., Donoghue, J. P., & Brown, E. N. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00697.2004 · Cited by 1,063 · see citing works
Cisek, P., & Kalaska, J. F. (2005) · Neuron · doi:10.1016/j.neuron.2005.01.027 · Cited by 1,019 · see citing works
Talbot, W. H., Darian-Smith, I., Kornhuber, H. H., & Mountcastle, V. B. (1968) · Journal of Neurophysiology · doi:10.1152/jn.1968.31.2.301 · Cited by 993 · see citing works
The statistical reliability of signals in single neurons in cat and monkey visual cortex
Tolhurst, D. J., Movshon, J. A., & Dean, A. F. (1983) · Vision Research · doi:10.1016/0042-6989(83)90200-6 · Cited by 982 · see citing works
An ultra-sparse code underliesthe generation of neural sequences in a songbird
Hahnloser, R. H. R., Kozhevnikov, A. A., & Fee, M. S. (2002) · Nature · doi:10.1038/nature00974 · Cited by 976 · see citing works
Activity changes in early visual cortex reflect monkeys' percepts during binocular rivalry
Leopold, D., & Logothetis, N. (1996) · Nature · doi:10.1038/379549a0 · Cited by 961 · see citing works
Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models
Lawrence, N. D. (2005) · Cited by 906 · 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
A Unifying Review of Linear Gaussian Models
Roweis, S. T., & Zoubin Ghahramani, A. (1999) · Neural Computation · doi:10.1162/089976699300016674 · Cited by 873 · see citing works
Multiple neural spike train data analysis: state-of-the-art and future challenges
Brown, E. N., Kass, R. E., & Mitra, P. P. (2004) · Nature Neuroscience · doi:10.1038/nn1228 · Cited by 857 · 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
Self-citationNeuronal Activity in the Lateral Intraparietal Area and Spatial Attention
Bisley, J. W., & Goldberg, M. E. (2003) · Science · doi:10.1126/science.1077395 · Cited by 821 · 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
Yu, B. M., Cunningham, J. P., Santhanam, G., Ryu, S. I., Shenoy, K. V., & Sahani, M. (2009) · Journal of Neurophysiology · doi:10.1152/jn.90941.2008 · Cited by 659 · see citing works
Chafee, M. V., & Goldman, P. S. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.79.6.2919 · Cited by 655 · see citing works
Intensity versus identity coding in an olfactory system.
Stopfer, M., Jayaraman, V., & Laurent, G. (2003) · Neuron · doi:10.1016/j.neuron.2003.08.011 · Cited by 627 · see citing works
Riehle, A., & Requin, J. (1989) · Journal of Neurophysiology · doi:10.1152/jn.1989.61.3.534 · Cited by 597 · 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 579 · see citing works
Self-citationNicolelis, M. A. L., Baccalá, L. A., Lin, R. C. S., & Chapin, J. K. (1995) · Science · doi:10.1126/science.7761855 · Cited by 548 · see citing works
Flexible control of mutual inhibition: a neural model of two-interval discrimination
Machens, C. K., Romo, R., & Brody, C. D. (2005) · Science · doi:10.1126/science.1104171 · Cited by 535 · see citing works
Self-citationAn Introduction to Latent Variable Models
Everitt, B. S. (1984) · Springer eBooks · doi:10.1007/978-94-009-5564-6 · Cited by 532 · see citing works
Olshausen, B. A. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/089892903321107891 · Cited by 517 · see citing works
Mazor, O., & Laurent, G. (2005) · Neuron · doi:10.1016/j.neuron.2005.09.032 · Cited by 484 · see citing works
Neural Variability in Premotor Cortex Provides a Signature of Motor Preparation
Churchland, M. M., Yu, B. M., Ryu, S. I., Santhanam, G., & Shenoy, K. V. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.3762-05.2006 · Cited by 484 · see citing works
The Infinite Hidden Markov Model
Beal, M. J., Ghahramani, Z., & Rasmussen, C. E. (2002) · The MIT Press eBooks · doi:10.7551/mitpress/1120.003.0079 · Cited by 483 · see citing works
Dynamic Optimization of Odor Representations by Slow Temporal Patterning of Mitral Cell Activity
Friedrich, R. W., & Laurent, G. (2001) · Science · doi:10.1126/science.291.5505.889 · Cited by 478 · see citing works
Bayesian Population Decoding of Motor Cortical Activity Using a Kalman Filter
Wu, W. L., Gao, Y., Bienenstock, E., Donoghue, J. P., & Black, M. J. (2005) · Neural Computation · doi:10.1162/089976606774841585 · Cited by 460 · see citing works
Prospective coding for objects in primate prefrontal cortex
Rainer, G., Rao, S. C., & Miller, E. K. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-13-05493.1999 · Cited by 432 · see citing works
Bayesian curve-fitting with free-knot splines
Dimatteo, I., Genovese, C. R., & Kass, R. E. (2001) · Biometrika · doi:10.1093/biomet/88.4.1055 · Cited by 425 · see citing works
Gaussian Process Dynamical Models
Wang, J., Hertzmann, A., & Blei, D. M. (2005) · Cited by 418 · see citing works
Estimating a State-Space Model from Point Process Observations
Smith, A. C., & Brown, E. N. (2003) · Neural Computation · doi:10.1162/089976603765202622 · Cited by 395 · 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
Self-citationCrammond, D. J., & Kalaska, J. F. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.2.986 · Cited by 350 · see citing works
Imaging in vivo: watching the brain in action
Kerr, J. N. D., & Denk, W. T. (2008) · Nature reviews. Neuroscience · doi:10.1038/nrn2338 · Cited by 344 · see citing works
Optical Imaging of Neuronal Populations During Decision-Making
Briggman, K. L., Abarbanel, H. D. I., & Kristan, W. B. (2005) · Science · doi:10.1126/science.1103736 · Cited by 337 · see citing works
Periodicity and Firing Rate As Candidate Neural Codes for the Frequency of Vibrotactile Stimuli
Salinas, E., Hernández, A., Zainos, A., & Romo, R. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-14-05503.2000 · Cited by 333 · see citing works
Self-citationExperiments with Random ProjectionPreprint
Dasgupta, S. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1301.3849 · Cited by 321 · see citing works
Neuronal correlates of subjective sensory experience
de Lafuente, V., & Romo, R. (2005) · Nature Neuroscience · doi:10.1038/nn1587 · Cited by 319 · see citing works
Self-citationEncoding of three-dimensional structure-from-motion by primate area MT neurons
Bradley, D. C., Chang, G. C., & Andersen, R. A. (1998) · Nature · doi:10.1038/33688 · Cited by 302 · see citing works
Perceptually Bistable Three-Dimensional Figures Evoke High Choice Probabilities in Cortical Area MT
Dodd, J., Krug, K., Cumming, B. G., & Parker, A. J. (2001) · Journal of Neuroscience · doi:10.1523/jneurosci.21-13-04809.2001 · Cited by 302 · 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
Dynamics of neuronal responses in macaque MT and VIP during motion detection
Cook, E. P., & Maunsell, J. H. R. (2002) · Nature Neuroscience · doi:10.1038/nn924 · Cited by 289 · see citing works
Natural stimuli evoke dynamic sequences of states in sensory cortical ensembles
Jones, L. M., Fontanini, A., Sadacca, B. F., Miller, P. C., & Katz, D. B. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705546104 · Cited by 287 · see citing works
Advanced Neurotechnologies for Chronic Neural Interfaces: New Horizons and Clinical Opportunities
Kipke, D. R., Shain, W. G., Buzsáki, G., Fetz, E. E., Henderson, J. M., Hetke, J. F., & Schalk, G. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.3879-08.2008 · Cited by 283 · see citing works
Delay-related activity of prefrontal neurons in rhesus monkeys performing delayed response
Kojima, S., & Goldman, P. S. (1982) · Brain Research · doi:10.1016/0006-8993(82)91145-3 · Cited by 277 · see citing works
Bathellier, B., Buhl, D. L., Accolla, R., & Carleton, A. (2008) · Neuron · doi:10.1016/j.neuron.2008.02.011 · Cited by 254 · see citing works
Temporal Evolution of a Decision-Making Process in Medial Premotor Cortex
Hernández, A., Zainos, A., & Romo, R. (2002) · Neuron · doi:10.1016/s0896-6273(02)00613-x · Cited by 253 · see citing works
Self-citationMnemonic and predictive functions of cortical neurons in a memory task
Quintana, J., & Fuster, J. M. (1992) · Neuroreport · doi:10.1097/00001756-199208000-00018 · Cited by 247 · see citing works
Semiparametric Latent Factor Models
Teh, Y. W., Seeger, M., & Jordan, M. I. (2005) · Cited by 193 · see citing works
Encoding and Decoding of Overlapping Odor Sequences
Broome, B. M., Jayaraman, V., & Laurent, G. (2006) · Neuron · doi:10.1016/j.neuron.2006.07.018 · Cited by 192 · see citing works
Encoding Network States by Striatal Cell Assemblies
Carrillo‐Reid, L., Tecuapetla, F., Tapia, D., Hernández‐Cruz, A., Galarraga, E., Drucker-Colı́n, R., & Bargas, J. (2008) · Journal of Neurophysiology · doi:10.1152/jn.01131.2007 · Cited by 187 · see citing works
Metastability of Active CA3 Networks
Sasaki, T., Matsuki, N., & Ikegaya, Y. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.4514-06.2007 · Cited by 180 · see citing works
Encoding a temporally structured stimulus with a temporally structured neural representation
Brown, S. L., Joseph, J., & Stopfer, M. (2005) · Nature Neuroscience · doi:10.1038/nn1559 · Cited by 172 · see citing works
Horwitz, G. D., & Newsome, W. T. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.86.5.2543 · Cited by 168 · see citing works
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
Techniques for extracting single-trial activity patterns from large-scale neural recordings
Churchland, M. M., Yu, B. M., Sahani, M., & Shenoy, K. V. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.11.001 · Cited by 160 · see citing works
Detecting Neural-State Transitions Using Hidden Markov Models for Motor Cortical Prostheses
Kemere, C., Santhanam, G., Yu, B. M., Afshar, A., Ryu, S. I., Meng, T. H., & Shenoy, K. V. (2008) · Journal of Neurophysiology · doi:10.1152/jn.00924.2007 · Cited by 157 · see citing works
One-dimensional dynamics of attention and decision making in LIP
Ganguli, S., Bisley, J. W., Roitman, J. D., Shadlen, M. N., Goldberg, M. E., & Miller, K. D. (2008) · Neuron · doi:10.1016/j.neuron.2008.01.038 · Cited by 152 · see citing works
Automatic Alignment of Local Representations
Teh, Y. W., & Roweis, S. T. (2002) · Cited by 147 · 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
Nawrot, M. P., Aertsen, A., & Rotter, S. (1999) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(99)00127-2 · Cited by 143 · see citing works
Delay activity in rodent frontal cortex during a simple reaction time task.
Narayanan, N. S., & Laubach, M. (2009) · Journal of Neurophysiology · doi:10.1152/jn.90615.2008 · Cited by 138 · see citing works
HermesB: A Continuous Neural Recording System for Freely Behaving Primates
Santhanam, G., Linderman, M. D., Gilja, V., Afshar, A., Ryu, S. I., Meng, T. H. Y., & Shenoy, K. V. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.895753 · Cited by 134 · see citing works
HermesC: Low-Power Wireless Neural Recording System for Freely Moving Primates
Chestek, C. A., Gilja, V., Nuyujukian, P., Kier, R. J., Solzbacher, F., Ryu, S. I., Harrison, R. R., & Shenoy, K. V. (2009) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2023293 · Cited by 130 · see citing works
Reference Frames for Reach Planning in Macaque Dorsal Premotor Cortex
Batista, A. P., Santhanam, G., Yu, B. M., Ryu, S. I., Afshar, A., & Shenoy, K. V. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00421.2006 · Cited by 126 · see citing works
Analysis of Between-Trial and Within-Trial Neural Spiking Dynamics
Czanner, G., Eden, U. T., Wirth, S., Yanike, M., SUZUKI, W. A., & Brown, E. N. (2008) · Journal of Neurophysiology · doi:10.1152/jn.00343.2007 · Cited by 121 · see citing works
Common-input models for multiple neural spike-train data
Kulkarni, J. E., & Paninski, L. (2007) · Network Computation in Neural Systems · doi:10.1080/09548980701625173 · Cited by 114 · see citing works
A Maximum-Likelihood Interpretation for Slow Feature Analysis
Turner, R. E., & Sahani, M. (2007) · Neural Computation · doi:10.1162/neco.2007.19.4.1022 · Cited by 104 · see citing works
Higher-Dimensional Neurons Explain the Tuning and Dynamics of Working Memory Cells
Singh, R., & Eliasmith, C. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.4864-05.2006 · Cited by 89 · see citing works
Miller, P. C., & Wang, X. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0508072103 · Cited by 88 · see citing works
Fast Gaussian process methods for point process intensity estimation
Cunningham, J. P., Shenoy, K. V., & Sahani, M. (2008) · International Conference on Machine Learning · doi:10.1145/1390156.1390181 · Cited by 88 · see citing works
Jackson, A., Mavoori, J., & Fetz, E. E. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00710.2006 · Cited by 82 · see citing works
Prefrontal Neural Correlates of Memory for Sequences
Averbeck, B. B., & Lee, D. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.4483-06.2007 · Cited by 76 · see citing works
Inferring neural firing rates from spike trains using Gaussian Processes
Cunningham, J. P., Yu, B. M., Shenoy, K. V., et al. (2008) · Cited by 72 · see citing works
Extracting Dynamical Structure Embedded in Neural Activity
Yu, B. M., Afshar, A., Santhanam, G., Ryu, S. I., Shenoy, K. V., & Sahani, M. (2005) · Cited by 70 · see citing works
Chronic multi-electrode neural recording in free-roaming monkeys
Eliades, S. J., & Wang, X. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2008.04.029 · Cited by 69 · see citing works
Paz, R., Natan, C., Boraud, T., Bergman, H., & Vaadia, E. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.0164-05.2005 · Cited by 65 · see citing works
Trial-to-Trial Variability and Its Effect on Time-Varying Dependency Between Two Neurons
Ventura, V., Cai, C., & Kass, R. E. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00644.2004 · Cited by 62 · see citing works
From crawling to cognition: analyzing the dynamical interactions among populations of neurons
Briggman, K. L., Abarbanel, H. D. I., & Kristan, W. B. (2006) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2006.03.014 · Cited by 48 · see citing works
The Role of Sensory Network Dynamics in Generating a Motor Program
Levi, R., Varona, P., Arshavsky, Y. I., Rabinovich, M. I., & Selverston, A. I. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.2249-05.2005 · Cited by 46 · see citing works
Square Root Transformation Revisited
Kihlberg, J. K., Herson, J. H., & Schotz, W. E. (1972) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.2307/2346609 · Cited by 45 · see citing works
Gat, I., Tishby, N., & Abeles, M. (1997) · Network Computation in Neural Systems · doi:10.1088/0954-898x_8_3_005 · Cited by 41 · see citing works
Design of Continuous Attractor Networks with Monotonic Tuning Using a Symmetry Principle
Machens, C. K., & Brody, C. D. (2007) · Neural Computation · doi:10.1162/neco.2007.07-06-297 · Cited by 37 · see citing works
Self-citationUsing the Equivalent Kernel to Understand Gaussian Process Regression
Sollich, P., & Williams, C. K. I. (2004) · Cited by 33 · see citing works
HermesC: RF wireless low-power neural recording system for freely behaving primates
Chestek, C. A., Gilja, V., Nuyujukian, P., et al. (2008) · doi:10.1109/iscas.2008.4541777 · Cited by 25 · see citing works
Spike Correlations in a Songbird Agree with a Simple Markov Population Model
Weber, A. P., & Hahnloser, R. H. R. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030249 · Cited by 21 · see citing works
Aksay, E. R. F. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg099 · Cited by 21 · see citing works
Chow, S. S., Romo, R., & Brody, C. D. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.4856-08.2009 · Cited by 19 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 2
- Fuster JM Memory in the cerebral cortex 1995 MIT Cambridge, MA
- Press WH Teukolsky SA Vetterling WT Flannery BP Numerical recipes in C 1992 Cambridge UP Cambridge, UK
Cited by
Sorted by citations
The importance of mixed selectivity in complex cognitive tasks
Rigotti, M., Barak, O., Warden, M. R., Wang, X.-J., Daw, N. D., Miller, E. K., & Fusi, S. (2013) · Nature · doi:10.1038/nature12160 · Cited by 1,639 · see citing works
Dimensionality reduction for large-scale neural recordings
Cunningham, J. P., & Yu, B. M. (2014) · Nature Neuroscience · doi:10.1038/nn.3776 · Cited by 1,219 · see citing works
Cortical activity in the null space: permitting preparation without movement
Kaufman, M. T., Churchland, M. M., Ryu, S. I., & Shenoy, K. V. (2014) · Nature Neuroscience · doi:10.1038/nn.3643 · Cited by 831 · see citing works
Distinct behavioural and network correlates of two interneuron types in prefrontal cortex
Kvitsiani, D., Ranade, S., Hangya, B., Taniguchi, H., Huang, J. Z., & Kepecs, A. (2013) · Nature · doi:10.1038/nature12176 · Cited by 516 · see citing works
Cell-Type-Specific Activity in Prefrontal Cortex during Goal-Directed Behavior
Pinto, L., & Dan, Y. (2015) · Neuron · doi:10.1016/j.neuron.2015.06.021 · Cited by 323 · see citing works
A theory of multineuronal dimensionality, dynamics and measurement
Gao, P., Trautmann, E., Yu, B., Santhanam, G., Ryu, S., Shenoy, K., & Ganguli, S. (2017) · doi:10.1101/214262 · Cited by 332 · 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
The role of population structure in computations through neural dynamics
Dubreuil, A., Valente, A., Beiran, M., Mastrogiuseppe, F., & Ostojic, S. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01088-4 · Cited by 237 · see citing works
Neuronal circuits underlying persistent representations despite time varying activity
Druckmann, S., & Chklovskii, D. B. (2012) · Current Biology · doi:10.1016/j.cub.2012.08.058 · Cited by 174 · see citing works
Different population dynamics in the supplementary motor area and motor cortex during reaching
Lara, A. H., Cunningham, J. P., & Churchland, M. M. (2018) · Nature Communications · doi:10.1038/s41467-018-05146-z · Cited by 101 · see citing works
Rotational dynamics in motor cortex are consistent with a feedback controller
Kalidindi, H. T., Cross, K. P., Lillicrap, T. P., Omrani, M., Falotico, E., Sabes, P. N., & Scott, S. H. (2021) · eLife · doi:10.7554/elife.67256 · Cited by 83 · see citing works
Fisher, D., Olasagasti, I., Tank, D. W., Aksay, E. R. F., & Goldman, M. S. (2013) · Neuron · doi:10.1016/j.neuron.2013.06.041 · Cited by 75 · see citing works
Spatial Patterns of Persistent Neural Activity Vary with the Behavioral Context of Short-Term Memory
Daie, K., Goldman, M. S., & Aksay, E. R. F. (2015) · Neuron · doi:10.1016/j.neuron.2015.01.006 · Cited by 42 · see citing works
Optogenetic perturbations reveal the dynamics of an oculomotor integrator
Gonçalves, P. J., Arrenberg, A. B., Hablitzel, B., Baier, H., & Machens, C. K. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00010 · Cited by 28 · see citing works
Self-citation
- Authors
- Machens, C. K., Romo, R., & Brody, C. D.
- Affiliations
- Inserm (FR)
- École Normale Supérieure - PSL (FR)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Machens, Christian K.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2010-01-06
- Volume
- 30
- Issue
- 1
- Pages
- 350-360
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC2947945
- OpenAlex
- W2149158842
- Cited by
- 260
- References
- 108
- Citations by year
- 2026: 15 · 2025: 10 · 2024: 12 · 2023: 14 · 2022: 17 · 2021: 27 · 2020: 19 · 2019: 25 · 2018: 21 · 2017: 22 · 2016: 18 · 2015: 13 · 2014: 16 · 2013: 11 · 2012: 10
- FWCI
- 6.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Howard Hughes Medical Institute
- Deutsche Forschungsgemeinschaft
- Agence Nationale de la Recherche
- Consejo Nacional de Ciencia y Tecnología
- National Institute of Mental Health (R01MH067991)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- prefrontal cortex, working memory, persistent activity, dimensionality reduction
- MeSH terms
- Animals, Macaca mulatta, Memory, Psychomotor Performance, Reaction Time, 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