Responses of Primate Visual Cortical V4 Neurons to Simultaneously Presented Stimuli

Density Estimation for Statistics and Data Analysis

Silverman, B. W. (2018) · Routledge eBooks · doi:10.1201/9781315140919 · Cited by 15,938 · 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

A Method of Measuring Eye Movemnent Using a Scieral Search Coil in a Magnetic Field

Robinson, D. A. (1963) · IEEE Transactions on Bio-medical Electronics · doi:10.1109/tbmel.1963.4322822 · Cited by 2,214 · see citing works

A method of measuring eye movements using a scleral search coil in a magnetic field

Robinson, D. A. (1963) · Medical Entomology and Zoology · Cited by 1,709 · 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

Implantation of magnetic search coils for measurement of eye position: An improved method

Judge, S. J., Richmond, B. J., & Chu, F. C. (1980) · Vision Research · doi:10.1016/0042-6989(80)90128-5 · Cited by 1,545 · 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

The Rhesus Monkey Brain in Stereotaxic Coordinates

Paxinos, G., Huang, X., & Toga, A. W. (1999) · Research Online (University of Wollongong) · Cited by 1,070 · see citing works

Latency: another potential code for feature binding in striate cortex

Gawne, T. J., Kjær, T. W., & Richmond, B. J. (1996) · Journal of Neurophysiology · doi:10.1152/jn.1996.76.2.1356 · Cited by 363 · see citing works

Stereotyped Position of Local Synaptic Targets in Neocortex

Kozloski, J., Hamzei‐Sichani, F., & Yuste, R. (2001) · Science · doi:10.1126/science.293.5531.868 · Cited by 179 · see citing works

Information flow and temporal coding in primate pattern vision

Heller, J., Hertz, J., Kjær, T. W., & Richmond, B. J. (1995) · Journal of Computational Neuroscience · doi:10.1007/bf00961433 · Cited by 152 · see citing works

Interactions of visual stimuli in the receptive fields of inferior temporal neurons in awake macaques

Sato, T. (1989) · Experimental Brain Research · doi:10.1007/bf00250563 · Cited by 125 · see citing works

Form representation in monkey inferotemporal cortex is virtually unaltered by free viewing

DiCarlo, J. J., & Maunsell, J. H. R. (2000) · Nature Neuroscience · doi:10.1038/77722 · Cited by 102 · see citing works

Consistency of Encoding in Monkey Visual Cortex

Wiener, M. C., Oram, M. W., Liu, Z., & Richmond, B. J. (2001) · Journal of Neuroscience · doi:10.1523/jneurosci.21-20-08210.2001 · Cited by 36 · see citing works

Insensitivity of V1 Complex Cell Responses to Small Shifts in the Retinal Image of Complex Patterns

Kjær, T. W., Gawne, T. J., Hertz, J., & Richmond, B. J. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.78.6.3187 · Cited by 22 · see citing works

The relation between V1 neuronal responses and eye movement-like stimulus presentations

Richmond, B. J., Hertz, J., & Gawne, T. J. (1999) · Neurocomputing · doi:10.1016/s0925-2312(99)00018-1 · Cited by 20 · see citing works

Robust Object Recognition with Cortex-Like Mechanisms

Serre, T., Wolf, L., Bileschi, S., Riesenhuber, M., & Poggio, T. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.56 · Cited by 1,667 · see citing works

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 · see citing works

Neural mechanisms for the recognition of biological movements

Giese, M. A., & Poggio, T. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1057 · Cited by 955 · see citing works

A feedforward architecture accounts for rapid categorization

Serre, T., Oliva, A., & Poggio, T. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0700622104 · Cited by 918 · see citing works

Object Recognition with Features Inspired by Visual Cortex

Serre, T., Wolf, L., & Poggio, T. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2005.254 · Cited by 841 · see citing works

A boost and bounce theory of temporal attention.

Olivers, C. N. L., & Meeter, M. (2008) · Psychological Review · doi:10.1037/a0013395 · Cited by 409 · see citing works

A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex

Serre, T., Kouh, M., Cadieu, C. F., Knoblich, U., Kreiman, G., & Poggio, T. (2005) · Defense Technical Information Center (DTIC) · Cited by 245 · see citing works

A Model of V4 Shape Selectivity and Invariance

Cadieu, C. F., Kouh, M., Pasupathy, A., Connor, C. E., Riesenhuber, M., & Poggio, T. (2007) · Journal of Neurophysiology · doi:10.1152/jn.01265.2006 · Cited by 226 · see citing works

A quantitative theory of immediate visual recognition

Serre, T., Kreiman, G., Kouh, M., Cadieu, C. F., Knoblich, U., & Poggio, T. (2007) · Progress in brain research · doi:10.1016/s0079-6123(06)65004-8 · Cited by 217 · see citing works

Multiple Object Response Normalization in Monkey Inferotemporal Cortex

Zoccolan, D., Cox, D., & DiCarlo, J. J. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.2058-05.2005 · Cited by 218 · see citing works

How parallel is visual processing in the ventral pathway?

Rousselet, G. A., Thorpe, S. J., & Fabre‐Thorpe, M. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.06.003 · Cited by 198 · see citing works

Recognizing emotions expressed by body pose: A biologically inspired neural model

Schindler, K., Gool, L. V., & de Gelder, B. (2008) · Neural Networks · doi:10.1016/j.neunet.2008.05.003 · Cited by 175 · see citing works

Trade-Off between Object Selectivity and Tolerance in Monkey Inferotemporal Cortex

Zoccolan, D., Kouh, M., Poggio, T., & DiCarlo, J. J. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.1897-07.2007 · Cited by 169 · see citing works

A Canonical Neural Circuit for Cortical Nonlinear Operations

Kouh, M., & Poggio, T. (2008) · Neural Computation · doi:10.1162/neco.2008.02-07-466 · Cited by 163 · see citing works

Rapid Feedforward Computation by Temporal Encoding and Learning With Spiking Neurons

Yu, Q., Tang, H., Tan, K. C., & Li, H. (2013) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2013.2245677 · Cited by 147 · see citing works

Critical features for the recognition of biological motion

Casile, A., & Giese, M. A. (2005) · Journal of Vision · doi:10.1167/5.4.6 · Cited by 146 · see citing works

Intracellular Measurements of Spatial Integration and the MAX Operation in Complex Cells of the Cat Primary Visual Cortex

Lampl, I., Ferster, D., Poggio, T., & Riesenhuber, M. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00060.2004 · Cited by 139 · see citing works

Realistic Modeling of Simple and Complex Cell Tuning in the HMAX Model, and Implications for Invariant Object Recognition in Cortex

Serre, T., & Riesenhuber, M. (2004) · doi:10.21236/ada459692 · Cited by 126 · see citing works

Attention and biased competition in multi-voxel object representations

Reddy, L., Kanwisher, N., & VanRullen, R. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0907330106 · Cited by 107 · see citing works

Multisensory Versus Unisensory Integration: Contrasting Modes in the Superior Colliculus

Alvarado, J. C., Vaughan, J. W., Stanford, T. R., & Stein, B. E. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00018.2007 · Cited by 106 · see citing works

Partial Occlusion Modulates Contour-Based Shape Encoding in Primate Area V4

Bushnell, B. N., Harding, P. J., Kosai, Y., & Pasupathy, A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4766-10.2011 · Cited by 102 · see citing works

Spatial Summation Can Explain the Attentional Modulation of Neuronal Responses to Multiple Stimuli in Area V4

Ghose, G. M., & Maunsell, J. H. R. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.0138-08.2008 · Cited by 85 · see citing works

Learning a dictionary of shape-components in visual cortex: comparison with neurons, humans and machines

Poggio, T., & Serre, T. (2006) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 85 · see citing works

Visual Functions of Primate Area V4

Pasupathy, A., Popovkina, D. V., & Kim, T. (2020) · Annual Review of Vision Science · doi:10.1146/annurev-vision-030320-041306 · Cited by 78 · see citing works

Microsaccades and Blinks Trigger Illusory Rotation in the “Rotating Snakes” Illusion

Otero‐Millan, J., Macknik, S. L., & Martínez‐Conde, S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5823-11.2012 · Cited by 80 · see citing works

Visual Clutter Causes High-Magnitude Errors

Baldassi, S., Megna, N., & Burr, D. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040056 · Cited by 88 · see citing works

The Role of V1 Surround Suppression in MT Motion Integration

Tsui, J. M. G., Hunter, J. N., Born, R. T., & Pack, C. C. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00654.2009 · Cited by 70 · see citing works

Comparative Aspects of Hearing in Vertebrates and Insects with Antennal Ears

Albert, J. T., & Kozlov, A. S. (2016) · Current Biology · doi:10.1016/j.cub.2016.09.017 · Cited by 63 · see citing works

Attention Influences Single Unit and Local Field Potential Response Latencies in Visual Cortical Area V4

Sundberg, K. A., Mitchell, J. F., Gawne, T. J., & Reynolds, J. H. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0489-12.2012 · Cited by 58 · see citing works

Trade-off between curvature tuning and position invariance in visual area V4

Sharpee, T. O., Kouh, M., & Reynolds, J. H. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1217479110 · Cited by 57 · see citing works

The distributed representation of random and meaningful object pairs in human occipitotemporal cortex: The weighted average as a general rule

Baeck, A., Wagemans, J. P., & de Beeck, H. O. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.12.023 · Cited by 55 · see citing works

Contrast and lustre: A model that accounts for eleven different forms of contrast discrimination in binocular vision

Georgeson, M. A., Wallis, S. A., Meese, T. S., & Baker, D. H. (2016) · Vision Research · doi:10.1016/j.visres.2016.08.001 · Cited by 54 · see citing works

On the Role of Object-Specific Features for Real World Object Recognition in Biological Vision

Serre, T., Riesenhuber, M., Louie, J., & Poggio, T. (2002) · Lecture notes in computer science · doi:10.1007/3-540-36181-2_39 · Cited by 53 · see citing works

The Role of Visual Area V4 in the Discrimination of Partially Occluded Shapes

Kosai, Y., El-Shamayleh, Y., Fyall, A. M., & Pasupathy, A. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1375-14.2014 · Cited by 53 · see citing works

Cortical Circuitry Implementing Graphical Models

Litvak, S., & Ullman, S. (2009) · Neural Computation · doi:10.1162/neco.2009.05-08-783 · Cited by 46 · see citing works

A neural network model of multisensory integration also accounts for unisensory integration in superior colliculus

Alvarado, J. C., Rowland, B. A., Stanford, T. R., & Stein, B. E. (2008) · Brain Research · doi:10.1016/j.brainres.2008.03.074 · Cited by 48 · see citing works

Whole person-evoked fMRI activity patterns in human fusiform gyrus are accurately modeled by a linear combination of face- and body-evoked activity patterns

KAISER, D. H., Strnad, L., Seidl, K. N., Kästner, S., & Peelen, M. V. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00371.2013 · Cited by 46 · see citing works

A New Biologically Motivated Framework for Robust Object Recognition

Serre, T., Wolf, L., & Poggio, T. (2004) · doi:10.21236/ada454724 · Cited by 46 · see citing works

Visual object categorization in birds and primates: Integrating behavioral, neurobiological, and computational evidence within a “general process” framework

Soto, F. A., & Wasserman, E. A. (2011) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-011-0070-x · Cited by 45 · see citing works

Predictions of a model of spatial attention using sum- and max-pooling functions

Hamker, F. H. (2003) · Neurocomputing · doi:10.1016/j.neucom.2003.09.006 · Cited by 41 · see citing works

Cue combination and color edge detection in natural scenes

Zhou, C., & Mel, B. W. (2008) · Journal of Vision · doi:10.1167/8.4.4 · Cited by 40 · see citing works

Biased competition through variations in amplitude of γ-oscillations

Zeitler, M., Fries, P., & Gielen, S. C. A. M. (2008) · Journal of Computational Neuroscience · doi:10.1007/s10827-007-0066-2 · Cited by 39 · see citing works

Object recognition using a generalized robust invariant feature and Gestalt's law of proximity and similarity

Kim, S., Yoon, K., & Kweon, I. S. (2007) · Pattern Recognition · doi:10.1016/j.patcog.2007.05.014 · Cited by 40 · see citing works

Invariance of visual operations at the level of receptive fields

Lindeberg, T. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066990 · Cited by 38 · see citing works

Computational Diversity in Complex Cells of Cat Primary Visual Cortex

Finn, I. M., & Ferster, D. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.2119-07.2007 · Cited by 37 · see citing works

Physiologically inspired neural model for the encoding of face spaces

Giese, M. A., & Leopold, D. A. (2004) · Neurocomputing · doi:10.1016/j.neucom.2004.10.060 · Cited by 37 · see citing works

A single functional model accounts for the distinct properties of suppression in cortical area V1

Spratling, M. (2011) · Vision Research · doi:10.1016/j.visres.2011.01.017 · Cited by 35 · see citing works

Robust Selectivity to Two-Object Images in Human Visual Cortex

Agam, Y., Liu, H., Papanastassiou, A., Buia, C., Golby, A. J., Madsen, J. R., & Kreiman, G. (2010) · Current Biology · doi:10.1016/j.cub.2010.03.050 · Cited by 33 · see citing works

Stimulus Competition by Inhibitory Interference

Tiesinga, P. H. E. (2005) · Neural Computation · doi:10.1162/0899766054796905 · Cited by 32 · see citing works

Learning Complex Cell Invariance from Natural Videos: A Plausibility Proof

Masquelier, T., Serre, T., Thorpe, S. J., & Poggio, T. (2007) · doi:10.21236/ada477541 · Cited by 32 · see citing works

Taking the MAX from neuronal responses

Rousselet, G. A., Thorpe, S. J., & Fabre‐Thorpe, M. (2003) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(03)00023-8 · Cited by 29 · see citing works

A Cognitive Control Architecture for the Perception–Action Cycle in Robots and Agents

Vassilis Cutsuridis, A., & Taylor, J. G. (2013) · Cognitive Computation · doi:10.1007/s12559-013-9218-z · Cited by 28 · see citing works

Biologically Motivated Perceptual Feature: Generalized Robust Invariant Feature

Kim, S., & Kweon, I. S. (2006) · Lecture notes in computer science · doi:10.1007/11612704_31 · Cited by 28 · see citing works

Processing visual stimuli using hierarchical spiking neural networks

Wu, Q., McGinnity, T. M., Maguire, L., Belatreche, A., & Glackin, B. (2008) · Neurocomputing · doi:10.1016/j.neucom.2007.10.020 · Cited by 26 · see citing works

A general rule for sensory cue summation: evidence from photographic, musical, phonetic and cross-modal stimuli

To, M. P. S., Baddeley, R., Troscianko, T., & Tolhurst, D. J. (2010) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2010.1888 · Cited by 25 · see citing works

Ear recognition using features inspired by visual cortex and support vector machine technique

Yaqubi, M., Karim Faez, A., & Motamed, S. (2008) · International Conference on Computer and Communication Engineering · doi:10.1109/iccce.2008.4580660 · Cited by 25 · see citing works

Stimulus conflation and tuning selectivity in V4 neurons: a model of visual crowding

Motter, B. C. (2018) · Journal of Vision · doi:10.1167/18.1.15 · Cited by 22 · see citing works

Hierarchical learning : theory with applications in speech and vision

Bouvrie, J. (2009) · Cited by 21 · see citing works

Shape representation in V4: Investigating position-specific tuning for boundary conformation with the standard model of object recognition

Cadieu, C. F., Kouh, M., Riesenhuber, M., & Poggio, T. (2010) · Journal of Vision · doi:10.1167/5.8.671 · Cited by 20 · see citing works

Spatial summation in macaque parietal area 7a follows a winner-take-all rule

Oleksiak, A., Klink, P. C., Postma, A., van der Ham, I. J. M., Lankheet, M. J., & Wezel, R. J. A. V. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00907.2010 · Cited by 19 · see citing works

Hierarchical stimulus processing in rodent primary and lateral visual cortex as assessed through neuronal selectivity and repetition suppression

Kaliukhovich, D. A., & de Beeck, H. O. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00673.2017 · Cited by 20 · see citing works

A data-driven study of image feature extraction and fusion

Wang, Z., Cui, P., Li, F., Chang, E. Y., & Yang, S. (2014) · Information Sciences · doi:10.1016/j.ins.2014.02.030 · Cited by 18 · see citing works

A Normalization Circuit Underlying Coding of Spatial Attention in Primate Lateral Prefrontal Cortex

Duong, L., Leavitt, M. L., Pieper, F., Sachs, A. J., & Martínez-Trujillo, J. (2019) · eNeuro · doi:10.1523/eneuro.0301-18.2019 · Cited by 15 · see citing works

Characterizing Responses of Translation-Invariant Neurons to Natural Stimuli: Maximally Informative Invariant Dimensions

Eickenberg, M., Rowekamp, R. J., Kouh, M., & Sharpee, T. O. (2012) · Neural Computation · doi:10.1162/neco_a_00330 · Cited by 15 · see citing works

Investigating shape representation in area V4 with HMAX: Orientation and Grating selectivities

Kouh, M., & Riesenhuber, M. (2003) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 15 · see citing works

The dopamine circuit as a reward-taxis navigation system

Karin, O., & Alon, U. S. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010340 · Cited by 14 · see citing works

Biological inspired human action recognition

Yousefi, B., Loo, C. K., & Memariani, A. (2013) · IEEE Workshop on Robotic Intelligence in Informationally Structured Space (RiiSS) · doi:10.1109/riiss.2013.6607930 · Cited by 14 · see citing works

A Model of Partial Reference Frame Transforms Through Pooling of Gain-Modulated Responses

Meyer, K. D., & Spratling, M. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs117 · Cited by 14 · see citing works

Biophysical Models of Neural Computation: Max and Tuning Circuits

Knoblich, U., Bouvrie, J., & Poggio, T. (2007) · Springer eBooks · doi:10.1007/978-3-540-77028-2_9 · Cited by 14 · see citing works

Central auditory neurons display flexible feature recombination functions

Kozlov, A. S., & Gentner, T. Q. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00637.2013 · Cited by 12 · see citing works

The Role of Feedback in a Hierarchical Model of Object Perception

Durá-Bernal, S., Wennekers, T., & Denham, S. L. (2011) · Advances in experimental medicine and biology · doi:10.1007/978-1-4614-0164-3_14 · Cited by 12 · see citing works

Linear Representation of Emotions in Whole Persons by Combining Facial and Bodily Expressions in the Extrastriate Body Area

Yang, X., Xu, J.-H., Cao, L.-J., Li, X.-L., Wang, P.-Y., Wang, B., & Liu, B. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00653 · Cited by 11 · see citing works

A Neural Model for Biological Movement Recognition: A Neurophysiologically Plausible Theory

Giese, M. A. (2004) · Springer eBooks · doi:10.1007/978-1-4020-2092-6_20 · Cited by 12 · see citing works

Biased competition in semantic representation during natural visual search

Shahdloo, M., Çelik, E., & Çukur, T. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116383 · Cited by 11 · see citing works

Asymmetric transfer of perceptual learning of luminance- and contrast-modulated motion

Petrov, A. A., & Hayes, T. R. (2010) · Journal of Vision · doi:10.1167/10.14.11 · Cited by 11 · see citing works

A Neurocomputational account of the role of contour facilitation in brightness perception

Domijan, D. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00093 · Cited by 11 · see citing works

Object Recognition in Cortex: Neural Mechanisms, and Possible Roles for Attention

Riesenhuber, M. (2005) · Neurobiology of Attention · doi:10.1016/b978-012375731-9/50050-1 · Cited by 11 · see citing works

Spatial summation revealed in the earliest visual evoked component C1 and the effect of attention on its linearity

Chen, J., Yu, Q., Zhu, Z., Peng, Y., & Fang, F. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00044.2015 · Cited by 10 · see citing works

Sparsely Connected Autoassociative Lattice Memories with an Application for the Reconstruction of Color Images

Valle, M. E., & Vicente, D. M. G. (2011) · Journal of Mathematical Imaging and Vision · doi:10.1007/s10851-011-0322-y · Cited by 10 · see citing works

Stimulus selection via differential response latencies in visual cortical area V4

Gawne, T. J. (2008) · Neuroscience Letters · doi:10.1016/j.neulet.2008.02.036 · Cited by 10 · see citing works

Spatial attention in area V4 is mediated by circuits in primary visual cortex

Tiesinga, P. H. E., & Buia, C. (2009) · Neural Networks · doi:10.1016/j.neunet.2009.07.010 · Cited by 10 · see citing works

A Strong Constraint to the Joint Processing of Pairs of Cortical Signals

Ghose, K., & Maunsell, J. H. R. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.2186-12.2012 · Cited by 11 · see citing works

Classification of marine organisms in underwater images using CQ-HMAX biologically inspired color approach

Jalali, S., Seekings, P. J., Tan, C., Tan, H. Z. W., Lim, J., & Taylor, E. A. (2013) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2013.6707084 · Cited by 9 · see citing works

Throwing Down the Visual Intelligence Gauntlet

Tan, C., Leibo, J. Z., & Poggio, T. (2012) · Studies in computational intelligence · doi:10.1007/978-3-642-28661-2_1 · Cited by 8 · see citing works

Development of Biological Movement Recognition by Interaction between Active Basis Model and Fuzzy Optical Flow Division

Yousefi, B., & Loo, C. K. (2014) · The Scientific World JOURNAL · doi:10.1155/2014/238234 · Cited by 8 · see citing works

Tangent Bundle Curve Completion with Locally Connected Parallel Networks

Ben-Yosef, G., & Ben‐Shahar, O. (2012) · Neural Computation · doi:10.1162/neco_a_00365 · Cited by 7 · see citing works

An integrative, experience-based theory of attentional control

Wilder, M., Mozer, M. C., & Wickens, C. D. (2011) · Journal of Vision · doi:10.1167/11.2.8 · Cited by 7 · see citing works

A Neurodynamic Model of Feature-Based Spatial Selection

Marić, M., & Domijan, D. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00417 · Cited by 7 · see citing works

Sustained attention operates via dissociable neural mechanisms across different eccentric locations

Phangwiwat, T., Phunchongharn, P., Wongsawat, Y., Chatnuntawech, I., Wang, S., Chunharas, C., Sprague, T. C., Woodman, G. F., & Itthipuripat, S. (2024) · Scientific Reports · doi:10.1038/s41598-024-61171-7 · Cited by 7 · see citing works

A computational model of fMRI activity in the intraparietal sulcus that supports visual working memory

Domijan, D. (2011) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-011-0054-x · Cited by 6 · see citing works

Slow feature action prototypes effect assessment in mechanism for recognition of biological movement ventral stream

Yousefi, B., & Loo, C. K. (2016) · International Journal of Bio-Inspired Computation · doi:10.1504/ijbic.2016.081323 · Cited by 6 · see citing works

A simple vector-like law for perceptual information combination is also followed by a class of cortical multisensory bimodal neurons

Billock, V. A., Kinney, M. J., Schnupp, J. W. H., & Meredith, M. A. (2021) · iScience · doi:10.1016/j.isci.2021.102527 · Cited by 5 · see citing works

Characterizing object- and position-dependent response profiles to uni- and bilateral stimulus configurations in human higher visual cortex: a 7T fMRI study

Reithler, J., Peters, J. C., & Goebel, R. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.038 · Cited by 5 · see citing works

Combining Densely Sampled Form and Motion for Human Action Recognition

Schindler, K., & Gool, L. V. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-69321-5_13 · Cited by 5 · see citing works

A deep-learning model-based and data-driven hybrid architecture for image annotation

Wang, Z., Xia, D., & Chang, E. Y. (2010) · doi:10.1145/1878137.1878141 · Cited by 5 · see citing works

A Study on Visual Perception based Emotion Recognition using Body-Activity Posture

Kim, J.-O. (2011) · The KIPS Transactions PartB · doi:10.3745/kipstb.2011.18b.5.305 · Cited by 4 · see citing works

Context‐dependent coding and gain control in the auditory system of crickets

Clemens, J., Rau, F., Hennig, R. M., & Hildebrandt, K. J. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.13019 · Cited by 5 · see citing works

Study on Representation Invariances of CNNs and Human Visual Information Processing Based on Data Augmentation

Cui, Y., Zhang, C., Qiao, K., Wang, L., Yan, B., & Tong, L. (2020) · Brain Sciences · doi:10.3390/brainsci10090602 · Cited by 4 · see citing works

Face recognition using HMAX method for feature extraction and support vector machine classifier

Yaghoubi, Z., Karim Faez, A., Eliasi, M., & Motamed, S. (2009) · International Conference on Image and Vision Computing New Zealand (IVCNZ) · doi:10.1109/ivcnz.2009.5378368 · Cited by 4 · see citing works

Sensitivity to timing and order in human visual cortex

Singer, J. M., Madsen, J. R., Anderson, W. S., & Kreiman, G. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00556.2014 · Cited by 4 · see citing works

STIMULUS COMPETITION IN ATTENTION: A NEURAL MODEL OF VISUAL CORTEX AREA V4

Hugues, E., & José, J. V. (2008) · International Journal of Modern Physics E · doi:10.1142/s0218301308010258 · Cited by 1 · see citing works

Taking the MAX from neuronal responses

Rousselet, G. A., Thorpe, S. J., & Fabre‐Thorpe, M. (2003) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(03)00023-8 · Cited by 29 · see citing works

Biophysiologically Plausible Implementations of the Maximum Operation

Yu, A. J., Giese, M. A., & Poggio, T. (2002) · Neural Computation · doi:10.1162/089976602760805313 · Cited by 94 · see citing works

Stimulus selection via differential response latencies in visual cortical area V4

Gawne, T. J. (2008) · Neuroscience Letters · doi:10.1016/j.neulet.2008.02.036 · Cited by 10 · see citing works

Biologically Plausible Neural Circuits for Realization of Maximum Operations

Yu, A. J., Giese, M. A., & Poggio, T. (2001) · DSpace@MIT (Massachusetts Institute of Technology)