Fast Readout of Object Identity from Macaque Inferior Temporal Cortex

Understanding the brain computations leading to object recognition requires quantitative characterization of the information represented in inferior temporal (IT) cortex. We used a biologically plausible, classifier-based readout technique to investigate the neural coding of selectivity and invarian...

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Bibliographic Details
Published in:	Science (American Association for the Advancement of Science) Vol. 310; no. 5749; pp. 863 - 866
Main Authors:	Hung, Chou P, Kreiman, Gabriel, Poggio, Tomaso, DiCarlo, James J
Format:	Journal Article
Language:	English
Published:	Washington, DC American Association for the Advancement of Science 04-11-2005 The American Association for the Advancement of Science
Subjects:	Action Potentials Analysis Anatomical correlates of behavior Animals Behavioral psychophysiology Biological and medical sciences Brain Brain Mapping Coding Cognitive Development Dendrites Fundamental and applied biological sciences. Psychology Identity Information technology Macaca Macaca mulatta Macaques Monkeys & apes Neck Neurology Neurons Neurons - physiology Neuroscience Object recognition Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Psychomotor Performance Recognition (Psychology) Stimuli Synapses Temporal Lobe - physiology Time Factors Training Visual Perception Characterization Visual stimulus Central nervous system Temporal cortex Object Selectivity Recognition Encephalon
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Summary:	Understanding the brain computations leading to object recognition requires quantitative characterization of the information represented in inferior temporal (IT) cortex. We used a biologically plausible, classifier-based readout technique to investigate the neural coding of selectivity and invariance at the IT population level. The activity of small neuronal populations ([approximately]100 randomly selected cells) over very short time intervals (as small as 12.5 milliseconds) contained unexpectedly accurate and robust information about both object "identity" and "category." This information generalized over a range of object positions and scales, even for novel objects. Coarse information about position and scale could also be read out from the same population.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Feature-1
ISSN:	0036-8075 1095-9203
DOI:	10.1126/science.1117593