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'Standard Model' of Object Recognition


Publications

Journal Papers:

Cerf, M. D.R. Cleary, R.J. Peters, W. Einhäuser W, and C. Koch. Observers are consistent when rating image conspicuity, Vision Research, (in press).

Cerf, M., J. Harel, W., Einhäuser, and C. Koch. Predicting human gaze using low-level saliency combined with face detection, Neural Information Processing Systems, (in press).

Ozeki, H., I.M. Finn, E.S. Schaffer, K.D. Miller, and D. Ferster. Surround suppression in cat visual cortex: Evidence that V1 operates as an Inhibition-stabilized network. (In preparation).

Quiroga R. Q. , L. Reddy, C. Koch C, and I. Fried. Decoding visual inputs from multiple neurons in the human temporal lobe, Journal of Neurophysiology, (in press).

Reddy, L., F. Moradi, and C. Koch. Top-down biases win against focal attention in the Fusiform Face Area, Neuroimage, (in press).

Waydo, S., and C. Koch. Unsupervised learning of individuals and categories from images, Neural Computation, (in press).

Zoccolan, D., M. Kouh, T. Poggio & J. DiCarlo. Trade-off between object selectivity and tolerance in monkey inferotemporal cortex, The Journal of Neuroscience, (in press).

Cadieu, C., M. Kouh, A. Pasupathy, C. Connor, M. Riesenhuber, and T. Poggio. A Model of V4 Shape Selectivity and Invariance, The Journal of Neuroscience, 98: 1733-1750, June, 2007.

Einhaeuser, W., C. Koch and S. Makeig. The duration of the attentional blink in natural scenes depends on stimulus category, Vision Research, Vol. 47 (5), 597-607, 2007.

Einhäuser, W., T.N., Mundhenk, P. Baldi, C. Koch, and L. Itti. A bottom-up model of spatial attention predicts human error patterns in rapid scene
recognition
, Journal of Vision, 7(10):6, 1-13, 2007.

Fei-Fei, L., A. Iyer, C. Koch, and P. Perona. What do we perceive in a glance of a real-world sceneJournal of Vision, Vol. 7(1): 1-29, 2007.

Finn, I.M., and D. Ferster. Computational Diversity in Complex Cells of Cat Primary Visual Cortex, The Journal of Neuroscience, 27: 9638-9648, 2007. Commentary: Carandini, M. Melting the Iceberg: Contrast Invariance in Visual Cortex, Neuron, 54: 11-13, 2007.

Finn, I.M., N.J. Priebe and D. Ferster. The emergence of contrast-invariant orientation tuning in simple cells of the cat visual cortex, Neuron, 54: 137-152, 2007.

Jiang, X., E. Bradley, R.A. Rini, T. Zeffiro, J. Vanmeter, and M. Riesenhuber. Categorization training results in shape-and category-selective human neural plasticity, Neuron, 53: (6): 891-903, 2007.

Koch, C. and S. Greenfield. How does consciousness happen? Scientific American Magazine, 76-83, October, 2007.

Koch, C., and N. Tsuchiya. Attention and consciousness: Two distinct brain processes, Trends in Cognitive Sciences,Vol. 11(1), 16-22, 2007.

Kraskov, A., R.Q. Quiroga, L., Reddy, I. Fried, and C. Koch. Local field potentials and spikes in the human medial temporal lobe are selective to image category, Journal of Cognitive Neuroscience, 19, 479-492, 2007.

Moradi, F., C. Hipp and C. Koch. Activity in visual cortex is modulated by top-down attention locked to reaction time. The Journal of Neuroscience, 19: 331-340, 2007.

Rutishauser, U., and C. Koch. Probabilistic modeling of eye movement data during conjunction search via feature-based attention, Journal of Vision,
7(6):5, 1-20, 2007.

Serre, T., L. Wolf, S. Bileschi, M. Riesenhuber and T. Poggio. Object Recognition with Cortex-like Mechanisms, IEEE Transactions on Pattern Analysis and Machine Intelligence, 29, 3, 411-426, 2007.

Einhäuser W, U. Rutishauser, E. P. Frady, S. Nadler, P. König and C. Koch. The Relation of Phase-  Noise and Luminance-Contrast to Overt Attention, Complex Visual StimuliJournal of Vision, Vol. 6(11), 1148-58, 2006.

Freedman, D.J., Riesenhuber, M., Poggio, T., and Miller, E.K. Experience dependent sharpening of visual shape selectivity in inferior temporal cortex, Cerebral Cortex, 16: 1631-1644, 2006.

Jiang, X., E. Rosen, T. Zeffiro, J. VanMeter, V. Blanz and M. Riesenhuber. Evaluation of a Shape-Based Model of Human Face Discrimination Using fMRI and Behavioral Techniques, Neuron, Vol. 50, 159-172, 2006.

Kreiman, G., C.P. Hung, A. Kraskov, R.Q. Quiroga, T. Poggio and J.J. DiCarlo. Object Selectivity of Local Field Potentials and Spikes in the Macaque Inferior Temporal Cortex, Neuron, Vol. 49, 433-445, 2006.

Kreiman, G., C.P. Hung, A. Kraskov, R.Q. Quiroga, T. Poggio and J.J. DiCarlo. Object Selectivity of Local Field Potentials and Spikes in the Macaque Inferior Temporal Cortex, Neuron, Vol. 49, 433-445, 2006.

Reddy L., R. Q. Quiroga, P. Wilken, C. Koch, and I. Fried. Single neuron correlate of change detection and change blindness in the human
medial temporal lobe
, Current Biology, Vol. 16: 2066-72, 2006.

Reddy L., Reddy L and Koch C. Face identification in the near-absence of focal attention, Vision Research Vol. 46: 2336-43, 2006.

Tsuchiya, N., C. Koch, L. Gilroy and R. Blake. Depth of interocular suppression associated with continuous flash suppression, flash suppression, and binocular rivalry, Journal of Vision, Vol. 6 (10), 1068- 78, 2006.

Walther, D., and C. Koch. Modeling attention to salient proto-objects, Neural Networks, Vol. 19: 1395-1407, 2006.

Waydo S., A. Kraskov, R. Q. Quiroga, I. Fried, and C. Koch. Sparse representation in the human medial temporal lobe, Journal of Neuroscience, Vol. 26, 10232-4, 2006

Boudreau, C.E. and D. Ferster. Short-term Synaptic Depression in Thalamocortical Synapses of the Cat Primary Visual Cortex, Journal of Neuroscience, Vol. 25, 7179-7190, 2005.

Cox, D.D., P. Meier, N. Oertelt and J.J. DiCarlo. 'Breaking' Position-Invariant Object Recognition, Nature Neuroscience, 8, 1145-1147, 2005.

DiCarlo, J.J. and J.H.R. Maunsell. Using Neuronal Latency to Determine Sensory-motor Processing Pathways in Reaction Time Tasks, Journal of Neurophysiology, 93, 2974-2986, 2005.

Hung, C.P., G. Kreiman, T. Poggio and J.J. DiCarlo. Fast Readout of Object Identity from Macaque Inferior Temporal Cortex, Science, Vol. 310, 863-866, 2005.

Li, F.F., R. VanRullen, C. Koch and P. Perona. Why Does Natural Scene Categorization Require Little Attention? Exploring Attentional Requirements for Natural and Synthetic Stimuli, Visual Cognition, 12, 6, 893-924, 2005.

Quiroga, R.Q., L. Reddy, G. Kreiman, C. Koch and I. Fried. Invariant Visual Representation by Single Neurons in the Human Brain, Nature-Letters, Vol. 435, 1102-1107, 2005.

Walther, D., U. Rutishauser, C. Koch and P. Perona. Selective Visual Attention Enables Learning and Recognition of Multiple Objects in Cluttered Scenes. Computer Vision and Image Understanding, 100, 41-63, 2005.

Zoccolan, D., D.D. Cox and J.J. DiCarlo. Multiple Object Response Normalization in Monkey Infero-temporal Cortex, Journal of Neuroscience, 25, 36, 8150-64, 2005.

Kreiman, G. Neural Coding: Computational and Biophysical Perspectives, Physics of Life Reviews, 2, 71-102, 2004.

Lampl, I., D. Ferster, T. Poggio and M. Riesenhuber. Intracellular Measurements of Spatial Integration and the MAX Operation in Complex Cells of the Cat Primary Visual Cortex, Journal of Neurophysiology, 92, 2704-2713, 2004.

Poggio, T. and E. Bizzi. Generalization in Vision and Motor Control, Nature, Vol. 431, 768-774, 2004.

Poggio, T., R. Rifkin, S. Mukherjee and P. Niyogi. General Conditions for Predictivity in Learning Theory, Nature, Vol. 428, 419-422, 2004.

Reddy, L., P. Wilken and C. Koch. Face-gender Discrimination is Possible in the Near-absence of Attention, Journal of Vision, 4, 2, 106-117, 2004.

Riesenhuber, M., I. Jarudi, S. Gilad and P. Sinha. Face Processing in Humans is Compatible with a Simple Shape-based Model of Vision, Proc. R. Soc. Lond. B (Suppl.) Vol. 271, S448-450, 2004.

VanRullen, R., L. Reddy and C. Koch. Visual Search and Dual-tasks Reveal Two Distinct Attentional Resources, Journal of Cognitive Neuroscience, 16, 1, 4-14, 2004.

Crick, F. and C. Koch. A Framework for Consciousness, Nature Neuroscience, 6, 119-127, 2003.

DiCarlo, J.J. and J.H.R Maunsell. Anterior Inferotemporal Neurons of Monkeys Engaged in Object Recognition can be Highly Sensitive to Object Retinal Position, Journal of Neurophysiology, 89, 3264-3278, 2003.

Freedman, D.J., M. Riesenhuber, T. Poggio, and E.K. Miller. Comparison of Primate Prefrontal and Inferior Temporal Cortices during Visual Categorization, Journal of Neuroscience, 23, 5235-5246, 2003.

Giese, M. and T. Poggio. Neural Mechanisms for the Recognition of Biological Movements, Nature Neuroscience Review, Vol. 4, 179-192, March 2003.

Peters, R.J., F. Gabbiani and C. Koch. Human Visual Object Categorization Can Be Described by Models with Low Memory Capacity, Vision Research, 43, 2265-2280, 2003.

VanRullen, R. and C. Koch. Competition and Selection during Visual Processing of Natural Scenes and Objects, Journal of Vision, 3, 1, 75-85, 2003.

VanRullen, R., and C. Koch. Visual Selective Behavior can be Triggered by a Feed-forward Process, Journal of Cognitive Neuroscience, 15, 2, 209-217, 2003.


Book Chapters:

Miller, E.K. The prefrontal cortex: categories, concepts, and cognition In: Memories: Molecules and Circuits, Research and Perspectives in Neurosciences, Bontempi B., Silva A.J., Christen Y. (eds), Heidelberg: Springer. (in press).

Miller, EK. Rules through recursion: How interactions between frontal cortex and basal ganglia may build abstract, complex, rules from concrete, simple, ones. In: The Neuroscience of Rule-Guided Behavior, S. Bunge & J. Wallis (eds.), Oxford University Press. (in press).

Kreiman, G., I. Fried and C. Koch. Responses of Single Neurons in the Human Brain during Flash Suppression. In: Binocular Rivalry and Perceptual Ambiguity, (Eds.) R. Blake and D. Alais, MIT Press, Cambridge, MA, Chapter 12, 213-230, 2005.

Riesenhuber, M. Object Recognition in Cortex: Neural Mechanisms and Possible Roles for Attention. In: Neurobiology of Attention, (Eds. L. Itti, G. Rees, and J. Tsotsos), Elsevier, 279-287, 2005.

Sigala, R., T. Serre, T. Poggio and M. Giese. Learning Features of Intermediate Complexity for the Recognition of Biological Motion. In: ICANN 2005, Warsaw, Poland, 241-246, September 2005.

Riesenhuber, M. and T. Poggio. How Visual Cortex Recognizes Objects: The Tale of the Standard Model. In: The Visual Neurosciences, (Eds. L.M. Chalupa and J.S. Werner), MIT Press, Cambridge, MA, Vol. 2, 1640-1653, 2003.


Conference Proceedings:

Serre, T. A. Oliva and T. Poggio. A Feedforward Architecture Accounts for Rapid Categorization, Proceedings of the National Academy of Sciences (PNAS), Vol. 104, No. 15, 6424-6429, 2007.

Rutishauser, U., D. Walther, C. Koch and P. Perona. Is Bottom-up Attention Useful for Object Recognition? In: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2, 37-44, 2004.

Walther, D., U. Rutishauser, C. Koch and P. Perona. On the Usefulness of Attention for Object Recognition. In: Proceedings of 2nd Workshop on Attention and Performance in Computer Vision at the European Conference on Computer Vision (ECCV), 2004.


Technical Reports:

Knoblich, U., J. Bouvrie and T. Poggio. Models of Neural Computation: Max and Tuning Circuits, CBCL Paper, Massachusetts Institute of Technology, Cambridge, MA, April 2007.

Serre, T., A. Oliva and T. Poggio. A Feedforward Theory of Visual Cortex Accounts for Human Performance in Rapid Categorization, CBCL Paper # MMVI-02, Massachusetts Institute of Technology, Cambridge, MA, March, 2006.

Serre, T. Learning a Dictionary of Shape-Components in Visual Cortex: Comparison with Neurons, Humans and Machines, CBCL Paper #260/A/ Technical Report #028, Massachusetts Institute of Technology, Cambridge, MA, March, 2006.

Cadieu, Charles F. (S.M. Thesis, EECS, MIT, May 2005): Modeling Shape Representation in Visual Cortex Area V4.

Serre, T., M. Kouh, C. Cadieu, U. Knoblich, G. Kreiman and T. Poggio. A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex, CBCL Paper #259/AI Memo #2005-036, Massachusetts Institute of Technology, Cambridge, MA, October, 2005.

Kreiman, G., C. Hung, T. Poggio and J. DiCarlo. Selectivity of Local Field Potentials in Macaque Inferior Temporal Cortex, CBCL Paper #240/AI Memo #2004-020, Massachusetts Institute of Technology, Cambridge, MA, September, 2004.

Riesenhuber, M., I. Jarudi, S. Gilad and P. Sinha Face Processing in Humans is Compatible with a Simple-Shape-based Model of Vision, CBCL Paper #236/AI Memo #2004-006, Massachusetts Institute of Technology, Cambridge, MA, March, 2004.

Schneider, R. and M. Riesenhuber. On the Difficulty of Feature-based Attentional Modulations in Visual Object Recognition: A Modeling Study, CBCL Paper #235/AI Memo #2004-004, Massachusetts Institute of Technology, Cambridge, MA, February, 2004.

Serre, T. and M. Riesenhuber. Realistic Modeling of Simple and Complex Cell Tuning in the HMAX Model, and Implications for Invariant Object Recognition in Cortex, CBCL Paper #239/AI Memo #2004-017, Massachusetts Institute of Technology, Cambridge, MA, August, 2004.

Kouh, M. and M. Riesenhuber. Investigating Shape Representation in Area V4 with HMAX: Orientation and Grating Selectivities, CBCL Paper #231/AIM #2003-021, Massachusetts Institute of Technology, Cambridge, MA, September 2003.

Louie, J. A Biological Model of Object Recognition with Feature Learning, CBCL Paper #227/AI Technical Report #2003-009, Massachusetts Institute of Technology, Cambridge, MA, May 2003.

Riesenhuber, M. and T. Poggio. Computational Models of Object Recognition in Cortex: A Review, CBCL Paper #190/AI Memo #1695, Massachusetts Institute of Technology, Cambridge, MA, August 2000.


Conference Abstracts:

Cadieu, C., M. Kouh, M. Riesenhuber, T. Poggio. Shape Representation in V4: Investigating Position-specific Tuning for Boundary Conformation with the Standard Model of Object Recognition, Cosyne 2005, #70.

Kouh, M., T. Poggio. Gain Control Circuits Underlie Tuning of Cortical Neurons, Cosyne 2005, #151.

Serre, T. and T. Poggio. Learning a Dictionary of Shape-components in Visual Cortex, Cosyne 2005, #243.


Relevant Previous Publications

Journal Papers:

Freedman, D.J., M. Riesenhuber, T. Poggio and E.K. Miller. Visual Categorization and the Primate Prefrontal Cortex: Neurophysiology and Behavior, Journal of Neurophysiology, 88, 930-942, 2002.

Riesenhuber, M. and T. Poggio. Neural Mechanisms of Object Recognition, Current Opinion in Neurobiology,12, 162-168, 2002.

Anderson, J. S., I. Lampl, D.C. Gillespie and D. Ferster. Membrane Potential and Conductance Changes Underlying Length Tuning of Cells in Cat Primary Visual Cortex, Journal of Neuroscience, 21:2104-2112, 2001.

Riesenhuber, M. and T. Poggio. Hierarchical Models of Object Recognition in Cortex, Nature Neuroscience, 2, 1019-1025, 1999.

Book Chapters:

Poggio, T. How the Brain Might Work: The role of Information and Learning in Understanding and Replicating Intelligence: In: Science and Technology for the New Century, G. Jacovitt, A. Pettorossi, R. Consolo and V. Senni, Lateran University Press, Quaderni Sefir, 45-61, 2007.

Walther, D., L. Itti, M. Riesenhuber, T. Poggio and C. Koch. Attentional Selection for Object Recognition - A Gentle Way. In: Biologically Motivated Computer Vision - Lecture Notes in Computer Science, Springer, 2525, 472-479, 2002.


Conference Papers:

Kreiman, G., I. Fried and C. Koch. Single Neuron Correlates of Subjective Vision in the Human Medial Temporal Lobe. In: Proceedings of the National Academy Sciences, 99, 8378-8383, 2002.

Li, F-F., R. VanRullen, C. Koch and P. Perona. Rapid Natural Scene Categorization in the Near Absence of Attention. In: Proceedings of the National Academy Sciences, 99, 9596-960, 2002.

Serre, T., M. Riesenhuber, J. Louie and T. Poggio. On the Role of Object-Specific Features for Real World Object Recognition in Biological Vision. In: Proceedings of Biologically Motivated Computer Vision, Second International Workshop (BMCV 2002), Tuebingen, Germany, 387-397, 2002.