Attentional Recruitment of Inter-Areal Recurrent Networks for Selective Gain Control

Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex

Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680 · see citing works

Information Theory

ASH, R. B. (1966) · Cited by 3,910 · see citing works

Hierarchical models of object recognition in cortex

Riesenhuber, M., & Poggio, T. (1999) · Nature Neuroscience · doi:10.1038/14819 · Cited by 3,309 · see citing works

Selective Attention Gates Visual Processing in the Extrastriate Cortex

Moran, J., & Desimone, R. (1985) · Science · doi:10.1126/science.4023713 · Cited by 2,433 · see citing works

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 · see citing works

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 · see citing works

Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit

Hahnloser, R. H. R., Sarpeshkar, R., Mahowald, M. A., Douglas, R. J., & Seung, H. S. (2000) · Nature · doi:10.1038/35016072 · Cited by 1,293 · see citing works

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 · see citing works

Focal attention produces spatially selective processing in visual cortical areas V1, V2, and V4 in the presence of competing stimuli

Motter, B. C. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.70.3.909 · Cited by 1,055 · see citing works

Turning on and off recurrent balanced cortical activity

Shu, Y., Hasenstaub, A., & McCormick, D. A. (2003) · Nature · doi:10.1038/nature01616 · Cited by 1,054 · see citing works

Neural mechanisms for visual memory and their role in attention

Desimone, R. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.24.13494 · Cited by 1,028 · cited 1× · see citing works

Attentional 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 · see citing works

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 1,017 · see citing works

Cortical feedback improves discrimination between figure and background by V1, V2 and V3 neurons

Hupé, J. M., James, A. C., Payne, B. R., Lomber, S. G., Girard, P., & Bullier, J. (1998) · Nature · doi:10.1038/29537 · Cited by 864 · see citing works

Increased Attention Enhances Both Behavioral and Neuronal Performance

Spitzer, H., Desimone, R., & Moran, J. (1988) · Science · doi:10.1126/science.3353728 · Cited by 815 · see citing works

Visual attention mediated by biased competition in extrastriate visual cortex

Desimone, R. (1998) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.1998.0280 · Cited by 696 · see citing works

Visual, presaccadic, and cognitive activation of single neurons in monkey lateral intraparietal area

Colby, C. L., Duhamel, J. R., & Goldberg, M. E. (1996) · Journal of Neurophysiology · doi:10.1152/jn.1996.76.5.2841 · Cited by 631 · see citing works

Simple models for reading neuronal population codes.

Seung, H. S., & Sompolinsky, H. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.22.10749 · Cited by 623 · see citing works

Top-down signal from prefrontal cortex in executive control of memory retrieval

Tomita, H., Ohbayashi, M., Nakahara, K., Hasegawa, I., & Miyashita, Y. (1999) · Nature · doi:10.1038/44372 · Cited by 615 · see citing works

External noise distinguishes attention mechanisms

Lu, Z., & Dosher, B. A. (1998) · Vision Research · doi:10.1016/s0042-6989(97)00273-3 · Cited by 517 · see citing works

Attention activates winner-take-all competition among visual filters

Lee, D. K., Itti, L., Koch, C., & Braun, J. (1999) · Nature Neuroscience · doi:10.1038/7286 · Cited by 450 · see citing works

Reading population codes: a neural implementation of ideal observers

Denève, S., Latham, P. E., & Pouget, A. (1999) · Nature Neuroscience · doi:10.1038/11205 · Cited by 392 · see citing works

Effects of Attention on the Processing of Motion in Macaque Middle Temporal and Medial Superior Temporal Visual Cortical Areas

Treue, S., & Maunsell, J. H. R. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-17-07591.1999 · Cited by 366 · see citing works

View-dependent object recognition by monkeys

Logothetis, N. K., Pauls, J., Bülthoff, H., & Poggio, T. (1994) · Current Biology · doi:10.1016/s0960-9822(00)00089-0 · Cited by 344 · see citing works

Stability of the memory of eye position in a recurrent network of conductance-based model neurons

Seung, H. S., Lee, D. D., Reis, B. Y., & Tank, D. W. (2000) · Neuron · doi:10.1016/s0896-6273(00)81155-1 · Cited by 339 · see citing works

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 · see citing works

Neural correlates of feature selective memory and pop-out in extrastriate area V4

Motter, B. (1994) · Journal of Neuroscience · doi:10.1523/jneurosci.14-04-02190.1994 · Cited by 282 · see citing works

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

Neuronal Tuning: To Sharpen or Broaden?

Zhang, K., & B, T. J. S. A. (1999) · Neural Computation · doi:10.1162/089976699300016809 · Cited by 253 · see citing works

Statistically Efficient Estimation Using Population Coding

Pouget, A., Zhang, K., Denève, S., & Latham, P. E. (1998) · Neural Computation · doi:10.1162/089976698300017809 · Cited by 212 · see citing works

Loss of attentional stimulus selection after extrastriate cortical lesions in macaques

Weerd, P. D., Peralta, M. R., Desimone, R., & Ungerleider, L. G. (1999) · Nature Neuroscience · doi:10.1038/11234 · Cited by 174 · see citing works

A Polysynaptic Feedback Circuit in Rat Visual Cortex

Johnson, R. R., & Burkhalter, A. (1997) · Journal of Neuroscience · doi:10.1523/jneurosci.17-18-07129.1997 · Cited by 107 · see citing works

Dynamical Stability Conditions for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions

Wersing, H., Beyn, W., & Ritter, H. J. (2001) · Neural Computation · doi:10.1162/08997660152469350 · Cited by 81 · see citing works

Feedback interactions between neuronal pointers and maps for attentional processing

Hahnloser, R. H. R., Douglas, R. J., Mahowald, M. A., & Hepp, K. (1999) · Nature Neuroscience · doi:10.1038/11219 · Cited by 58 · see citing works

Computational differences between asymmetrical and symmetrical networks

Li Zhaoping, A., & Dayan, P. (1999) · Network Computation in Neural Systems · doi:10.1088/0954-898x_10_1_004 · Cited by 55 · see citing works

Turning on and off recurrent balanced cortical activity

Shu, Y., Hasenstaub, A., & McCormick, D. A. (2003) · Nature · doi:10.1038/nature01616 · Cited by 1,054 · see citing works

Rapid Neocortical Dynamics: Cellular and Network Mechanisms

Haider, B., & McCormick, D. A. (2009) · Neuron · doi:10.1016/j.neuron.2009.04.008 · Cited by 441 · see citing works

Mapping the Matrix: The Ways of Neocortex

Douglas, R. J., & Martin, K. A. C. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.017 · Cited by 355 · see citing works

Mechanisms underlying gain modulation in the cortex

Ferguson, K. A., & Cardin, J. A. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0253-y · Cited by 327 · see citing works

Persistent Cortical Activity: Mechanisms of Generation and Effects on Neuronal Excitability

McCormick, D. A. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg104 · Cited by 199 · see citing works

Reconciling predictive coding and biased competition models of cortical function

Spratling, M. W. (2008) · Frontiers in Computational Neuroscience · doi:10.3389/neuro.10.004.2008 · Cited by 153 · see citing works

A neural model of surface perception: Lightness, anchoring, and filling-in

Grossberg, S., & Hong, S. (2006) · Spatial Vision · doi:10.1163/156856806776923399 · Cited by 86 · see citing works

Image interpretation by a single bottom-up top-down cycle

Epshtein, B., Lifshitz, I., & Ullman, S. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800968105 · Cited by 83 · see citing works

Mapping the functional neuroanatomy of spatial neglect and human parietal lobe functions: progress and challenges

Vuilleumier, P. O. (2013) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12161 · Cited by 82 · see citing works

Dynamical Stability Conditions for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions

Wersing, H., Beyn, W., & Ritter, H. J. (2001) · Neural Computation · doi:10.1162/08997660152469350 · Cited by 81 · see citing works

Adaptation without Plasticity

Quiroga, M. D. M., Morris, A. P., & Krekelberg, B. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.08.089 · Cited by 30 · see citing works

Developmental Self-Construction and -Configuration of Functional Neocortical Neuronal Networks

Bauer, R., Zubler, F., Pfister, S., Hauri, A., Pfeiffer, M., Muir, D. R., & Douglas, R. J. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003994 · Cited by 28 · see citing works

Pre‐ and post‐synaptic functions of kainate receptors at glutamate and GABA synapses in the rat entorhinal cortex

Chamberlain, S. E. L., Jane, D. E., & Jones, R. S. G. (2011) · Hippocampus · doi:10.1002/hipo.20921 · Cited by 18 · see citing works

Balanced Recurrent Excitation and Inhibition in Local Cortical Networks

McCormick, D. A., Shu, Y., & Hasenstaub, A. R. (2003) · Springer eBooks · doi:10.1007/978-1-4615-0039-1_8 · Cited by 10 · see citing works

Global motion mechanisms compensate local motion deficits in a patient with a bilateral occipital lobe lesion

Beardsley, S. A., & Vaina, L. M. (2006) · Experimental Brain Research · doi:10.1007/s00221-006-0447-1 · Cited by 6 · see citing works

Short-Term Attractive Tilt Aftereffects Predicted by a Recurrent Network Model of Primary Visual Cortex

Quiroga, M. D. M., Morris, A. P., & Krekelberg, B. (2019) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2019.00067 · Cited by 5 · see citing works

From Goals to Habits – A View from the Network

Hurtado, J. M. (2008) · Springer eBooks · doi:10.1007/978-3-540-70573-4_9

Two Potential Mechanisms of Spatial Attention in Early Visual AreasPreprint

Persi, E. (2008) · arXiv (Cornell University) · doi:10.48550/arxiv.0806.4161 · Cited by 1 · see citing works

LETTER Communicated by Alexandre Pouget Attentional Recruitment of Inter-Areal Recurrent Networks for Selective Gain Control

Hahnloser, R. H. R., & Douglas, R. J. (2016)

Recurrent Antitopographic Inhibition Mediates Competitive Stimulus Selection in an Attention Network

Lai, D., Brandt, S. F., Luksch, H., & Weßel, R. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00673.2010 · Cited by 25 · see citing works

Consequences of relaying top-down attentional modulations via neurons with high-dimensional selectivity

Park, S., & Serences, J. T. (2023) · Journal of Vision · doi:10.1167/jov.23.9.4848

Gain modulation of recurrent networks

Zhang, J., & Abbott, L. F. (2000) · Neurocomputing · doi:10.1016/s0925-2312(00)00224-1 · Cited by 7 · see citing works

A model for selective visual attention predicts information routing

Harnack, D., Ernst, U. A., & Pawelzik, K. R. (2013) · BMC Neuroscience · doi:10.1186/1471-2202-14-s1-p310 · Cited by 1 · see citing works