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Differential Attention-Dependent Response Modulation across Cell Classes in Macaque Visual Area V4
Open accessAbstract
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.
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“Selective attention reduces neuronal variability (Mitchell et al., 2007)”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Mitchell et al., 2007
Citations
Cites
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-citationSelective 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
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
Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex
Luck, S. J., Chelazzi, L., Hillyard, S. A., & Desimone, R. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.77.1.24 · Cited by 1,615
Intrinsic firing patterns of diverse neocortical neurons
Connors, B. W., & Gutnick, M. J. (1990) · Trends in Neurosciences · doi:10.1016/0166-2236(90)90185-d · Cited by 1,440
GABAergic cell subtypes and their synaptic connections in rat frontal cortex
Kawaguchi, Y. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.6.476 · Cited by 1,416
Competitive Mechanisms Subserve Attention in Macaque Areas V2 and V4
Reynolds, J. H., Chelazzi, L., & Desimone, R. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-05-01736.1999 · Cited by 1,236
Self-citationEffects of Attention on Orientation-Tuning Functions of Single Neurons in Macaque Cortical Area V4
McAdams, C. J., & Maunsell, J. H. R. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-01-00431.1999 · Cited by 1,218
Attentional modulation of visual processing
Reynolds, J. H., & Chelazzi, L. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.26.041002.131039 · Cited by 1,158
Self-citationMotter, B. C. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.70.3.909 · Cited by 1,055
Attention Increases Sensitivity of V4 Neurons
Reynolds, J. H., Pasternak, T., & Desimone, R. (2000) · Neuron · doi:10.1016/s0896-6273(00)81206-4 · Cited by 1,034
Self-citationAttentional modulation of visual motion processing in cortical areas MT and MST
Treue, S., & Maunsell, J. H. R. (1996) · Nature · doi:10.1038/382539a0 · Cited by 1,025
The origin and specification of cortical interneurons
Wonders, C. P., & Anderson, S. A. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1954 · Cited by 980 · cited 1×
“Cortical neurons differ from one another in important ways, including their neurochemical properties, patterns of connectivity, laminar distribution, gene expression patterns, and developmental origin (Markram et al., 2004; Wonders and Anderson, 2006).”
BackgroundOscillatory coupling of hippocampal pyramidal cells and interneurons in the behaving rat
Csicsvari, J., Hirase, H., Czurkó, A., Mamiya, A., & Buzsáki, G. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-01-00274.1999 · Cited by 966
Intracellular Features Predicted by Extracellular Recordings in the Hippocampus In Vivo
Henze, D. A., Borhegyi, Z., Csicsvari, J., Mamiya, A., Harris, K. D., & Buzsáki, G. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.1.390 · Cited by 942
Barthó, P., Hirase, H., Monconduit, L., Zugaro, M., Harris, K. D., & Buzsáki, G. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01170.2003 · Cited by 912
Response properties of vibrissa units in rat SI somatosensory neocortex
Simons, D. J. (1978) · Journal of Neurophysiology · doi:10.1152/jn.1978.41.3.798 · Cited by 780
Tracking multiple targets with multifocal attention.
Cavanagh, P., & Alvarez, G. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.05.009 · Cited by 759
Molecular and Physiological Diversity of Cortical Nonpyramidal Cells
Cauli, B., Audinat, E., Lambolez, B., Angulo, M. C., Ropert, N., Tsuzuki, K., Hestrin, S., & Rossier, J. (1997) · Journal of Neuroscience · doi:10.1523/jneurosci.17-10-03894.1997 · Cited by 738
Mountcastle, V. B., Talbot, W. H., Sakata, H., & Hyvärinen, J. (1969) · Journal of Neurophysiology · doi:10.1152/jn.1969.32.3.452 · Cited by 683
Hasenstaub, A. R., Shu, Y., Haider, B., Kraushaar, U., Duque, A., & McCormick, D. A. (2005) · Neuron · doi:10.1016/j.neuron.2005.06.016 · Cited by 666
On the Origin of the Extracellular Action Potential Waveform: A Modeling Study
Gold, C., Henze, D. A., Christof Koch, A., & Buzsáki, G. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00979.2005 · Cited by 587
Kawaguchi, Y. (1995) · The Journal of Neuroscience · doi:10.1523/jneurosci.15-04-02638.1995 · Cited by 533
Visual attention: the where, what, how and why of saliency
Treue, S. (2003) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(03)00105-3 · Cited by 461
Erisir, A., Lau, D., Rudy, B., & Leonard, C. S. (1999) · Journal of Neurophysiology · doi:10.1152/jn.1999.82.5.2476 · Cited by 458
Nowak, L. G., Azouz, R., Sanchez-Vives, M. V., Gray, C. M., & McCormick, D. A. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00580.2002 · Cited by 443
Low Response Variability in Simultaneously Recorded Retinal, Thalamic, and Cortical Neurons
Kara, P., Reinagel, P., & Reid, R. C. (2000) · Neuron · doi:10.1016/s0896-6273(00)00072-6 · Cited by 404
Refractoriness and Neural Precision
Berry, M. J., & Meister, M. (1998) · Journal of Neuroscience · doi:10.1523/jneurosci.18-06-02200.1998 · Cited by 402
Martina, M., Schultz, J. H., Ehmke, H., Monyer, H., & Jonas, P. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-20-08111.1998 · Cited by 396
Kawaguchi, Y. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.69.2.416 · Cited by 390
Electrophysiological characteristics of hippocampal complex-spike cells and theta cells
Fox, S. E., & Ranck, J. B. (1981) · Experimental Brain Research · doi:10.1007/bf00238898 · Cited by 381
Feedforward Mechanisms of Excitatory and Inhibitory Cortical Receptive Fields
Bruno, R. M., & Simons, D. J. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-24-10966.2002 · Cited by 354
Fast-spike Interneurons and Feedforward Inhibition in Awake Sensory Neocortex
Swadlow, H. A. (2002) · Cerebral Cortex · doi:10.1093/cercor/13.1.25 · Cited by 354
Effects of Spatial Attention on Contrast Response Functions in Macaque Area V4
Williford, T., & Maunsell, J. H. R. (2006) · Journal of Neurophysiology · doi:10.1152/jn.01207.2005 · Cited by 353
Rao, S. G., Williams, G. V., & Goldman, P. S. (1999) · Journal of Neurophysiology · doi:10.1152/jn.1999.81.4.1903 · Cited by 339
Constantinidis, C., & Goldman, P. S. (2002) · Journal of Neurophysiology · doi:10.1152/jn.00188.2002 · Cited by 330
Wilson, F. A. W., ÓScalaidhe, S. P., & Goldman‐Rakic, P. S. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.9.4009 · Cited by 303
Effects of Attention on the Reliability of Individual Neurons in Monkey Visual Cortex
McAdams, C. J., & Maunsell, J. H. R. (1999) · Neuron · doi:10.1016/s0896-6273(01)80034-9 · Cited by 286
Response variability of neurons in primary visual cortex (V1) of alert monkeys
Gur, M., Beylin, A., & Snodderly, D. M. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-08-02914.1997 · Cited by 277
Direct afferent excitation and long-term potentiation of hippocampal interneurons.
Buzsáki, G., & Eidelberg, E. (1982) · Journal of Neurophysiology · doi:10.1152/jn.1982.48.3.597 · Cited by 246
Ionic Mechanisms Underlying Repetitive High-Frequency Burst Firing in Supragranular Cortical Neurons
Brumberg, J. C., Nowak, L. G., & McCormick, D. A. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-13-04829.2000 · Cited by 234
Martina, M., & Jonas, P. (1997) · The Journal of Physiology · doi:10.1111/j.1469-7793.1997.593ba.x · Cited by 229
Microsaccades differentially modulate neural activity in the striate and extrastriate visual cortex
Leopold, D. A., & Logothetis, N. K. (1998) · Experimental Brain Research · doi:10.1007/s002210050577 · Cited by 226
On the classification of simple and complex cells
Mechler, F., & Ringach, D. L. (2002) · Vision Research · doi:10.1016/s0042-6989(02)00025-1 · Cited by 213
Frank, L. M., Brown, E. N., & Wilson, M. A. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.86.4.2029 · Cited by 195
Multiple object tracking and attentional processing.
Sears, C. R., & Pylyshyn, Z. W. (2000) · Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale · doi:10.1037/h0087326 · Cited by 187
The influence of fixational eye movements on the response of neurons in area MT of the macaque
Bair, W., & O’Keefe, L. P. (1998) · Visual Neuroscience · doi:10.1017/s0952523898154160 · Cited by 178
González‐Burgos, G., Krimer, L. S., Povysheva, N. V., Barrionuevo, G., & Lewis, D. A. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00787.2004 · Cited by 159
Foehring, R. C., Lorenzon, N. M., Herron, P., & Wilson, C. J. (1991) · Journal of Neurophysiology · doi:10.1152/jn.1991.66.6.1825 · Cited by 158
Povysheva, N. V., González‐Burgos, G., Zaitsev, A. V., Kröner, S., Barrionuevo, G., Lewis, D. A., & Krimer, L. S. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhj002 · Cited by 145
Krimer, L. S., Zaitsev, A. V., Czanner, G., Kröner, S., González‐Burgos, G., Povysheva, N. V., Iyengar, S., Barrionuevo, G., & Lewis, D. A. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00156.2005 · Cited by 135
Response to Contrast of Electrophysiologically Defined Cell Classes in Primary Visual Cortex
Contreras, D., & Palmer, L. A. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-17-06936.2003 · Cited by 105
High Response Reliability of Neurons in Primary Visual Cortex (V1) of Alert, Trained Monkeys
Gur, M., & Snodderly, D. M. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhj032 · Cited by 82
Tamura, H., Kaneko, H., Kawasaki, K., & Fujita, I. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01267.2003 · Cited by 70
González‐Burgos, G. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh015 · Cited by 54
Problem of Dural Scarring in Recording From Awake, Behaving Monkeys: A Solution Using 5-Fluorouracil
Spinks, R. L., Baker, S. N., Jackson, A., Khaw, P. T., & Lemon, R. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00169.2003 · Cited by 45
Electrical properties of neocortical neurons in slices from children with intractable epilepsy
Tasker, J. G., Hoffman, N. W., Kim, Y. I., Fisher, R. S., Peacock, W. J., & Dudek, F. E. (1996) · Journal of Neurophysiology · doi:10.1152/jn.1996.75.2.931 · Cited by 44
Gur, M., Beylin, A., & Snodderly, D. M. (1999) · Journal of Neurophysiology · doi:10.1152/jn.1999.82.3.1451 · Cited by 41
Attention modulates oscillatory neuronal synchronization in macaque area V4
Fries, P., Reynolds, J. H., Rorie, A. E., & Desimone, R. (2000) · Radboud Repository (Radboud University) · Cited by 2
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Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939
Modulation of visual responses by behavioral state in mouse visual cortex
Niell, C. M., & Stryker, M. P. (2010) · Neuron · doi:10.1016/j.neuron.2010.01.033 · Cited by 1,483
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Reynolds, J. H., & Heeger, D. J. (2009) · Neuron · doi:10.1016/j.neuron.2009.01.002 · Cited by 1,457
Self-citationAttention improves performance primarily by reducing interneuronal correlations
Cohen, M. R., & Maunsell, J. H. R. (2009) · Nature Neuroscience · doi:10.1038/nn.2439 · Cited by 1,163
Interneuron cell types are fit to function
Kepecs, A., & Fishell, G. (2014) · Nature · doi:10.1038/nature12983 · Cited by 1,110
Metadata
- 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.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2007-07
- Volume
- 55
- Issue
- 1
- Pages
- 131-141
- ISSN
- 0896-6273 (ISSN-L)
- 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
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