Cited by 665Visual perception and processing mechanismsNeural dynamics and brain functionNeuroscience and Neuropharmacology Research

The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.

Differential Attention-Dependent Response Modulation across Cell Classes in Macaque Visual Area V4

Open access

Mitchell, Jude F., Sundberg, Kristy A., Reynolds, John H.·2007·Neuron

DOI 10.1016/j.neuron.2007.06.018

Open this paper in CoChat — free account Open PDF

Abstract

The cortex contains multiple cell types, but studies of attention have not distinguished between them, limiting understanding of the local circuits that transform attentional feedback into improved visual processing. Parvalbumin-expressing inhibitory interneurons can be distinguished from pyramidal neurons based on their briefer action potential durations. We recorded neurons in area V4 as monkeys performed an attention-demanding task. We find that the distribution of action potential durations is strongly bimodal. Neurons with narrow action potentials have higher firing rates and larger attention-dependent increases in absolute firing rate than neurons with broad action potentials. The percentage increase in response is similar across the two classes. We also find evidence that attention increases the reliability of the neuronal response. This modulation is more than two-fold stronger among putative interneurons. These findings lead to the surprising conclusion that the strongest attentional modulation occurs among local interneurons that do not transmit signals between areas.

Integrity signals

Registry

Crossref · 10.1016/j.neuron.2007.06.018

Cites

66 of 66 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

We couldn’t retrieve this paper’s full text, 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?

Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388
Shifts in Selective Visual Attention: Towards the Underlying Neural Circuitry
Koch, C., & Ullman, S. (1987) · Springer eBooks · doi:10.1007/978-94-009-3833-5_5 · Cited by 3,762
A saliency-based search mechanism for overt and covert shifts of visual attention
Itti, L., & Koch, C. (2000) · Vision Research · doi:10.1016/s0042-6989(99)00163-7 · Cited by 3,261
Interneurons of the neocortical inhibitory system
Markram, H., Toledo-Rodriguez, M., Wang, Y., Gupta, A., Silberberg, G., & Wu, C. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1519 · Cited by 2,954
Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention
Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2001) · Science · doi:10.1126/science.1055465 · Cited by 2,786
Self-citation
Selective Attention Gates Visual Processing in the Extrastriate Cortex
Moran, J., & Desimone, R. (1985) · Science · doi:10.1126/science.4023713 · Cited by 2,433
Selective Attention Gates Visual Processing in the Extrastriate Cortex
Moran, J., & Desimone, R. (2003) · The MIT Press eBooks · doi:10.7551/mitpress/2834.003.0024 · Cited by 2,164
The Dip Test of Unimodality
Hartigan, J. A., & Hartigan, P. M. (1985) · The Annals of Statistics · doi:10.1214/aos/1176346577 · Cited by 2,088
Tracking multiple independent targets: evidence for a parallel tracking mechanism.
Pylyshyn, Z., & Storm, R. (1988) · Spatial Vision · doi:10.1163/156856888x00122 · Cited by 2,021
Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex
McCormick, D. A., Connors, B. W., Lighthall, J. W., & Prince, D. A. (1985) · Journal of Neurophysiology · doi:10.1152/jn.1985.54.4.782 · Cited by 1,935

Show all 66 references

Sorted by citations

Items 201–300 of 665

Spatial Attention Improves the Quality of Population Codes in Human Visual Cortex
Saproo, S., & Serences, J. T. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00369.2010 · Cited by 56
BOLD fMRI activation for anti-saccades in nonhuman primates
Ford, K. A., Gati, J. S., Menon, R. S., & Everling, S. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.12.009 · Cited by 62
Attention and active vision
Berman, R. L. H., & Colby, C. L. (2008) · Vision Research · doi:10.1016/j.visres.2008.06.017 · Cited by 64
Estimating Instantaneous Irregularity of Neuronal Firing
Shimokawa, T., & Shinomoto, S. (2009) · Neural Computation · doi:10.1162/neco.2009.08-08-841 · Cited by 59
Contribution of Cholinergic and GABAergic Mechanisms to Direction Tuning, Discriminability, Response Reliability, and Neuronal Rate Correlations in Macaque Middle Temporal Area
Thiele, A., Herrero, J. L., Distler, C., & Hoffmann, K. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0554-12.2012 · Cited by 60
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
Silences, spikes and bursts: Three‐part knot of the neural code
Friedenberger, Z., Harkin, E. F., Tóth, K., & Naud, R. (2023) · The Journal of Physiology · doi:10.1113/jp281510 · Cited by 63
Exploring the relationship between perceptual learning and top-down attentional control
Byers, A., & Serences, J. T. (2012) · Vision Research · doi:10.1016/j.visres.2012.07.008 · Cited by 57
NMDA Antagonist Ketamine Reduces Task Selectivity in Macaque Dorsolateral Prefrontal Neurons and Impairs Performance of Randomly Interleaved Prosaccades and Antisaccades
Skoblenick, K. J., & Everling, S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1510-12.2012 · Cited by 51
Changes in the Response Rate and Response Variability of Area V4 Neurons During the Preparation of Saccadic Eye Movements
Steinmetz, N. A., & Moore, T. (2009) · Journal of Neurophysiology · doi:10.1152/jn.00689.2009 · Cited by 59
Does the Superior Colliculus Control Perceptual Sensitivity or Choice Bias during Attention? Evidence from a Multialternative Decision Framework
Sridharan, D., Steinmetz, N. A., Moore, T., & Knudsen, E. I. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.4505-14.2017 · Cited by 57
Neural Variability Is Quenched by Attention
Arazi, A., Yeshurun, Y., & Dinstein, I. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.0355-19.2019 · Cited by 57
Two-Photon Imaging of Calcium in Virally Transfected Striate Cortical Neurons of Behaving Monkey
Heider, B., Nathanson, J. L., Isacoff, E. Y., Callaway, E. M., & Siegel, R. M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013829 · Cited by 55
Variability of Prefrontal Neuronal Discharges before and after Training in a Working Memory Task
Qi, X.-L., & Constantinidis, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041053 · Cited by 55
Local and system mechanisms for action execution and observation in parietal and premotor cortices
Ferroni, C. G., Albertini, D., Lanzilotto, M., Livi, A., Maranesi, M., & Bonini, L. (2021) · Current Biology · doi:10.1016/j.cub.2021.04.034 · Cited by 52
Visual and Vestibular Selectivity for Self-Motion in Macaque Posterior Parietal Area 7a
Avila, E., Lakshminarasimhan, K. J., DeAngelis, G. C., & Angelaki, D. E. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy272 · Cited by 55
Feedback stabilizes propagation of synchronous spiking in cortical neural networks
Moldakarimov, S., Bazhenov, M., & Sejnowski, T. J. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1500643112 · Cited by 53
Attention improves information flow between neuronal populations without changing the communication subspace
Srinath, R., Ruff, D. A., & Cohen, M. R. (2021) · Current Biology · doi:10.1016/j.cub.2021.09.076 · Cited by 57
Attention Decreases Phase-Amplitude Coupling, Enhancing Stimulus Discriminability in Cortical Area MT
Esghaei, M., Daliri, M. R., & Treue, S. (2015) · Frontiers in Neural Circuits · doi:10.3389/fncir.2015.00082 · Cited by 53
Microcircuits for Hierarchical Elaboration of Object Coding Across Primate Temporal Areas
Hirabayashi, T., Takeuchi, D., Tamura, K., & Miyashita, Y. (2013) · Science · doi:10.1126/science.1236927 · Cited by 52
Dynamics of excitatory and inhibitory networks are differentially altered by selective attention
Snyder, A. C., Morais, M. J., & Smith, M. A. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00343.2016 · Cited by 55
Exact distinction of excitatory and inhibitory neurons in neural networks: a study with GFP-GAD67 neurons optically and electrophysiologically recognized on multielectrode arrays
Becchetti, A., Gullo, F., Bruno, G., Dossi, E., Lecchi, M., & Wanke, E. (2012) · Frontiers in Neural Circuits · doi:10.3389/fncir.2012.00063 · Cited by 51
Attention Improves Transfer of Motion Information between V1 and MT
Saproo, S., & Serences, J. T. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3484-13.2014 · Cited by 51
Representation of visual uncertainty through neural gain variability
Hénaff, O. J., Boundy-Singer, Z. M., Meding, K., Ziemba, C. M., & Goris, R. L. T. (2020) · Nature Communications · doi:10.1038/s41467-020-15533-0 · Cited by 57
Periodicity and Evoked Responses in Motor Cortex
Reimer, J., & Hatsopoulos, N. G. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.5947-09.2010 · Cited by 50
Global Cognitive Factors Modulate Correlated Response Variability between V4 Neurons
Ruff, D. A., & Cohen, M. R. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2750-14.2014 · Cited by 51
Attention Induced Gain Stabilization in Broad and Narrow-Spiking Cells in the Frontal Eye-Field of Macaque Monkeys
Thiele, A., Brandt, C., Dasilva, M., Gotthardt, S., Chicharro, D., Panzeri, S., & Distler, C. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0872-16.2016 · Cited by 49
Cell-type-specific modulation of targets and distractors by dopamine D1 receptors in primate prefrontal cortex
Jacob, S. N., Stalter, M., & Nieder, A. (2016) · Nature Communications · doi:10.1038/ncomms13218 · Cited by 52
Cortical State Fluctuations across Layers of V1 during Visual Spatial Perception
Speed, A., Rosario, J. D., Burgess, C., & Haider, B. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.02.045 · Cited by 47
The Neural Origin of Nociceptive-Induced Gamma-Band Oscillations
Yue, L., Iannetti, G. D., & Hu, L. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0255-20.2020 · Cited by 51
Head-mounted microendoscopic calcium imaging in dorsal premotor cortex of behaving rhesus macaque
Bollimunta, A., Santacruz, S. R., Eaton, R. W., Xu, P. S., Morrison, J. H., Moxon, K. A., Carmena, J. M., & Nassi, J. J. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109239 · Cited by 48
A deep learning strategy to identify cell types across species from high-density extracellular recordings
Beau, M., Herzfeld, D. J., Naveros, F., Hemelt, M. E., D’Agostino, F., Oostland, M., Sánchez‐López, Á., Chung, Y. Y., Maibach, M., Kyranakis, S., et al. (2025) · Cell · doi:10.1016/j.cell.2025.01.041 · Cited by 55
Visual Response Properties of V1 Neurons Projecting to V2 in Macaque
El-Shamayleh, Y., Kumbhani, R. D., Dhruv, N. T., & Movshon, J. A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2753-13.2013 · Cited by 45
Basing Perceptual Decisions on the Most Informative Sensory Neurons
Scolari, M., & Serences, J. T. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00273.2010 · Cited by 52
Spatial and temporal influences on discrimination of vibrotactile stimuli on the arm
Shah, V. A., Casadio, M., Scheidt, R. A., & Mrotek, L. A. (2019) · Experimental Brain Research · doi:10.1007/s00221-019-05564-5 · Cited by 48
GABA Transporter GAT1 Prevents Spillover at Proximal and Distal GABA Synapses Onto Primate Prefrontal Cortex Neurons
González‐Burgos, G., Rotaru, D. C., Zaitsev, A. V., Povysheva, N. V., & Lewis, D. A. (2008) · Journal of Neurophysiology · doi:10.1152/jn.91161.2008 · Cited by 49
Anterior-posterior gradient of plasticity in primate prefrontal cortex
Riley, M. R., Qi, X.-L., Zhou, X., & Constantinidis, C. (2018) · Nature Communications · doi:10.1038/s41467-018-06226-w · Cited by 47
Dynamic Excitatory and Inhibitory Gain Modulation Can Produce Flexible, Robust and Optimal Decision-making
Niyogi, R. K., & Wong-Lin, K. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003099 · Cited by 47
Dissociation of Response Variability from Firing Rate Effects in Frontal Eye Field Neurons during Visual Stimulation, Working Memory, and Attention
Chang, M. H., Armstrong, K. M., & Moore, T. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.2967-11.2012 · Cited by 44
Encoding of facial features by single neurons in the human amygdala and hippocampus
Cao, R., Li, X., Brandmeir, N. J., & Wang, S. (2021) · Communications Biology · doi:10.1038/s42003-021-02917-1 · Cited by 48
Neural basis of visual selective attention
Chelazzi, L., Libera, C. D., Sani, I., & Santandrea, E. (2010) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.117 · Cited by 45
Neural correlates of working memory development in adolescent primates
Zhou, X., Zhu, D., Qi, X.-L., Li, S., King, S. G., Salinas, E., Stanford, T. R., & Constantinidis, C. (2016) · Nature Communications · doi:10.1038/ncomms13423 · Cited by 47
Cellular Classes in the Human Brain Revealed In Vivo by Heartbeat-Related Modulation of the Extracellular Action Potential Waveform
Mosher, C. P., Wei, Y., Kamiński, J., Nandi, A., Mamelak, A. N., Anastassiou, C. A., & Rutishauser, U. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.02.027 · Cited by 46
Correlated discharges in the primate prefrontal cortex before and after working memory training
Qi, X.-L., & Constantinidis, C. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.08267.x · Cited by 47
Classification of Cortical Neurons by Spike Shape and the Identification of Pyramidal Neurons
Lemon, R., Baker, S. N., & Kraskov, A. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab147 · Cited by 52
Expansion of MT Neurons Excitatory Receptive Fields during Covert Attentive Tracking
Niebergall, R., Khayat, P. S., Treue, S., & Martínez-Trujillo, J. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2822-11.2011 · Cited by 45
Neural changes after training to perform cognitive tasks
Qi, X.-L., & Constantinidis, C. (2012) · Behavioural Brain Research · doi:10.1016/j.bbr.2012.12.017 · Cited by 45
Smooth Pursuit-Related Information Processing in Frontal Eye Field Neurons that Project to the NRTP
Ono, S., & Mustari, M. J. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn166 · Cited by 45
Prefrontal Corticotropin-Releasing Factor (CRF) Neurons Act Locally to Modulate Frontostriatal Cognition and Circuit Function
Hupalo, S., Martin, A. J., Green, R. K., Devilbiss, D. M., & Berridge, C. W. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2701-18.2019 · Cited by 44
Membrane Potential Correlates of Network Decorrelation and Improved SNR by Cholinergic Activation in the Somatosensory Cortex
Meir, I., Katz, Y., & Lampl, I. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1159-18.2018 · Cited by 46
A Multi-level Account of Selective Attention
Serences, J. T., & Kastner, S. (2014) · Oxford Handbooks Online · doi:10.1093/oxfordhb/9780199675111.013.022 · Cited by 45
Biophysical Support for Functionally Distinct Cell Types in the Frontal Eye Field
Cohen, J. Y., Pouget, P., Heitz, R. P., Woodman, G. F., & Schall, J. D. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90272.2008 · Cited by 45
Spontaneous variability in gamma dynamics described by a damped harmonic oscillator driven by noise
Spyropoulos, G., Saponati, M., Dowdall, J. R., Schölvinck, M. L., Bosman, C. A., Lima, B., Peter, A., Onorato, I., Klon-Lipok, J., Roese, R., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29674-x · Cited by 52
Suppression of cortical neural variability is stimulus- and state-dependent
White, B. M., Abbott, L. F., & Fiser, J. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00723.2011 · Cited by 43
Monkey Area MT Latencies to Speed Changes Depend on Attention and Correlate with Behavioral Reaction Times
Galashan, F. O., Saßen, H. C., Kreiter, A. K., & Wegener, D. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.014 · Cited by 43
Optimal Balance of the Striatal Medium Spiny Neuron Network
Ponzi, A. P. D., & Wickens, J. R. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002954 · Cited by 46
Visual processing of informative multipoint correlations arises primarily in V2
Yu, Y., Schmid, A., & Victor, J. D. (2015) · eLife · doi:10.7554/elife.06604 · Cited by 44
Neural correlates of learning and trajectory planning in the posterior parietal cortex
Torres, E. B., Quiroga, R. Q., Cui, H., & Buneo, C. A. (2013) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2013.00039 · Cited by 44
Two different mechanisms support selective attention at different phases of training
Itthipuripat, S., Cha, K., Byers, A., & Serences, J. T. (2017) · PLoS Biology · doi:10.1371/journal.pbio.2001724 · Cited by 42
Functional Categories of Visuomotor Neurons in Macaque Frontal Eye Field
Lowe, K. A., & Schall, J. D. (2018) · eNeuro · doi:10.1523/eneuro.0131-18.2018 · Cited by 41
Neural mechanisms of auditory categorization: from across brain areas to within local microcircuits
Tsunada, J., & Cohen, Y. E. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00161 · Cited by 47
Attention can be subdivided into neurobiological components corresponding to distinct behavioral effects
Luo, T. Z., & Maunsell, J. H. R. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1902286116 · Cited by 43
Spatial Attention, Feature-Based Attention, and Saccades: Three Sides of One Coin?
Mazer, J. A. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.03.014 · Cited by 40
Roles of Narrow- and Broad-Spiking Dorsal Premotor Area Neurons in Reach Target Selection and Movement Production
Song, J., & McPeek, R. M. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00238.2009 · Cited by 42
Local and Global Influences of Visual Spatial Selection and Locomotion in Mouse Primary Visual Cortex
McBride, E. G., Lee, S.-Y. J., & Callaway, E. M. (2019) · Current Biology · doi:10.1016/j.cub.2019.03.065 · Cited by 39
Hearing in Complex Environments: Auditory Gain Control, Attention, and Hearing Loss
Auerbach, B. D., & Gritton, H. J. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.799787 · Cited by 42
Cell class-specific modulation of attentional signals by acetylcholine in macaque frontal eye field
Dasilva, M., Brandt, C., Gotthardt, S., Gieselmann, M. A., Distler, C., & Thiele, A. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1905413116 · Cited by 38
Contour interpolation: A case study in Modularity of Mind
Keane, B. P. (2018) · Cognition · doi:10.1016/j.cognition.2018.01.008 · Cited by 38
Response variability of frontal eye field neurons modulates with sensory input and saccade preparation but not visual search salience
Purcell, B. A., Heitz, R. P., Cohen, J. Y., & Schall, J. D. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00613.2012 · Cited by 36
Attention-dependent reductions in burstiness and action-potential height in macaque area V4
Anderson, E. B., Mitchell, J. F., & Reynolds, J. H. (2013) · Nature Neuroscience · doi:10.1038/nn.3463 · Cited by 38
Self-citation
Presaccadic discrimination of receptive field stimuli by area V4 neurons
Moore, T., & Chang, M. H. (2008) · Vision Research · doi:10.1016/j.visres.2008.03.018 · Cited by 38
Stimulus selectivity and response latency in putative inhibitory and excitatory neurons of the primate inferior temporal cortex
Mruczek, R. E. B., & Sheinberg, D. L. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00618.2012 · Cited by 40
Population activity structure of excitatory and inhibitory neurons
Bittner, S. R., Williamson, R. C., Snyder, A. C., Litwin-Kumar, A., Doiron, B., Chase, S. M., Smith, M. A., & Yu, B. M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0181773 · Cited by 37
Extent of Single-Neuron Activity Modulation by Hippocampal Interictal Discharges Predicts Declarative Memory Disruption in Humans
Reed, C. M., Mosher, C. P., Chandravadia, N., Chung, J. M., Mamelak, A. N., & Rutishauser, U. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1380-19.2019 · Cited by 36
Dynamic states of population activity in prefrontal cortical networks of freely-moving macaque
Milton, R., Shahidi, N., & Dragoi, V. (2020) · Nature Communications · doi:10.1038/s41467-020-15803-x · Cited by 38
Attentional Modulation of Neuronal Activity Depends on Neuronal Feature Selectivity
Hembrook‐Short, J. R., Mock, V. L., & Briggs, F. (2017) · Current Biology · doi:10.1016/j.cub.2017.05.080 · Cited by 36
Gamma Oscillations of Spiking Neural Populations Enhance Signal Discrimination
Masuda, N., & Doiron, B. (2005) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030236 · Cited by 38
Characteristics of fast-spiking neurons in the striatum of behaving monkeys
Yamada, H., Inokawa, H., Hori, Y., Pan, X., Matsuzaki, R., Nakamura, K., Samejima, K., Shidara, M., Kimura, M., Sakagami, M., et al. (2015) · Neuroscience Research · doi:10.1016/j.neures.2015.10.003 · Cited by 34
Set and setting: How behavioral state regulates sensory function and plasticity
Aton, S. J. (2013) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2013.06.007 · Cited by 37
Neural Variability Limits Adolescent Skill Learning
Caras, M. L., & Sanes, D. H. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2878-18.2019 · Cited by 36
Differential representation of auditory categories between cell classes in primate auditory cortex
Tsunada, J., Lee, J. H., & Cohen, Y. E. (2012) · The Journal of Physiology · doi:10.1113/jphysiol.2012.232892 · Cited by 34
Attention Improves Object Representation in Visual Cortical Field Potentials
Rotermund, D., Taylor, K., Ernst, U. A., Kreiter, A. K., & Pawelzik, K. R. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5508-08.2009 · Cited by 35
Functional interactions among neurons within single columns of macaque V1
Trepka, E. B., Zhu, S., Xia, R., Chen, X., & Moore, T. (2022) · eLife · doi:10.7554/elife.79322 · Cited by 35
Role of Input Correlations in Shaping the Variability and Noise Correlations of Evoked Activity in the Neocortex
Bujan, A. F., Aertsen, A., & Kumar, A. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4536-14.2015 · Cited by 36
Perceptual consequences of feature-based attentional enhancement and suppression
Ho, T. C., Brown, S. D., Abuyo, N. A., Ku, E.-H. J., & Serences, J. T. (2012) · Journal of Vision · doi:10.1167/12.8.15 · Cited by 36
A normalization model suggests that attention changes the weighting of inputs between visual areas
Ruff, D. A., & Cohen, M. R. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1619857114 · Cited by 32
Autism Related Neuroligin-4 Knockout Impairs Intracortical Processing but not Sensory Inputs in Mouse Barrel Cortex
Unichenko, P., Yang, J., Kirischuk, S., Kolbaev, S. N., Kilb, W., Hammer, M., Krueger‐Burg, D., Brose, N., & Luhmann, H. J. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx165 · Cited by 32
Controlled placement of multiple CNS cell populations to create complex neuronal cultures
Soscia, D. A., Belle, A. M., Fischer, N. O., Enright, H. A., Sales, A. P., Osburn, J. J., Benett, W. J., Mukerjee, E. V., Kulp, K. S., Pannu, S., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0188146 · Cited by 32
A mechanistic cortical microcircuit of attention for amplification, normalization and suppression
Beuth, F., & Hamker, F. H. (2015) · Vision Research · doi:10.1016/j.visres.2015.04.004 · Cited by 31
Attentional Modulation of Firing Rate Varies with Burstiness across Putative Pyramidal Neurons in Macaque Visual Area V4
Anderson, E., Mitchell, J. F., & Reynolds, J. H. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.0027-11.2011 · Cited by 32
Self-citation
Hand placement near the visual stimulus improves orientation selectivity in V2 neurons
Perry, C. J., Sergio, L. E., Crawford, J. D., & Fallah, M. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00919.2013 · Cited by 29
Disinhibition by VIP interneurons is orthogonal to cross-modal attentional modulation in primary visual cortex
Myers-Joseph, D., Wilmes, K. A., Fernández-Otero, M., Clopath, C., & Khan, A. G. (2023) · Neuron · doi:10.1016/j.neuron.2023.11.006 · Cited by 33
Input Dependent Cell Assembly Dynamics in a Model of the Striatal Medium Spiny Neuron Network
Ponzi, A. P. D., & Wickens, J. R. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00006 · Cited by 32
Abstract goal representation in visual search by neurons in the human pre-supplementary motor area
Wang, S., Mamelak, A. N., Adolphs, R., & Rutishauser, U. (2019) · Brain · doi:10.1093/brain/awz279 · Cited by 30
Functional dissection of synaptic circuits: in vivo patch-clamp recording in neuroscience
Tao, C., Zhang, G., Xiong, Y., & Zhou, Y. (2015) · Frontiers in Neural Circuits · doi:10.3389/fncir.2015.00023 · Cited by 35
The Relationship between Trial-by-Trial Variability and Oscillations of Cortical Population Activity
Daniel, E., Meindertsma, T., Arazi, A., Donner, T. H., & Dinstein, I. (2019) · Scientific Reports · doi:10.1038/s41598-019-53270-7 · Cited by 36
Endogenous Attention Signals Evoked by Threshold Contrast Detection in Human Superior Colliculus
Katyal, S., & Ress, D. B. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3026-13.2014 · Cited by 29
Structure and function of the middle temporal visual area (MT) in the marmoset: Comparisons with the macaque monkey
Lui, L. L., & Rosa, M. G. P. (2014) · Neuroscience Research · doi:10.1016/j.neures.2014.09.012 · Cited by 28
Relationship Between Adapted Neural Population Responses in MT and Motion Adaptation in Speed and Direction of Smooth-Pursuit Eye Movements
Yang, J., & Lisberger, S. G. (2009) · Journal of Neurophysiology · doi:10.1152/jn.00061.2009 · Cited by 31
Effect of feature-selective attention on neuronal responses in macaque area MT
Chen, X., Hoffmann, K. ‐., Albright, T. D., & Thiele, A. (2011) · Journal of Neurophysiology · doi:10.1152/jn.01042.2010 · Cited by 27

Authors: Mitchell, J. F., Sundberg, K. A., & Reynolds, J. H.
Affiliations: Salk Institute for Biological Studies (US)
Corresponding author: Mitchell, Jude F.
Reynolds, John H.
ORCID: Mitchell, Jude F.
Reynolds, John H.
Venue: Neuron
Publisher: Elsevier BV
Published: 2007-07
Volume: 55
Issue: 1
Pages: 131-141
ISSN: 0896-6273 (ISSN-L)
DOI: 10.1016/j.neuron.2007.06.018
OpenAlex: W2115569429
Cited by: 665
References: 66
Citations by year: 2026: 18 · 2025: 33 · 2024: 34 · 2023: 32 · 2022: 28 · 2021: 40 · 2020: 27 · 2019: 45 · 2018: 30 · 2017: 26 · 2016: 26 · 2015: 45 · 2014: 49 · 2013: 40 · 2012: 49
FWCI: 18.15
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 2244 d)
doi.org/10.15223/policy-017 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
doi.org/10.15223/policy-012 (stm-asf)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-004 (stm-asf)
Locations: Neuron (publishedVersion)
PubMed (publishedVersion)
Funders: National Institutes of Health
National Eye Institute (EY016161)
National Science Foundation
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords: visual attention, area V4, parvalbumin interneurons, action potential duration, neuronal cell types, attentional modulation, firing rate, response reliability, pyramidal neurons, macaque cortex, local circuits
MeSH terms: Action Potentials, Animals, Attention, Brain Mapping, Cues, Data Interpretation, Statistical, Eye Movements, Interneurons, Macaca mulatta, Magnetic Resonance Imaging, Neurons, Psychomotor Performance, Visual Cortex, Pyramidal Cells

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

Differential Attention-Dependent Response Modulation across Cell Classes in Macaque Visual Area V4

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks