Fast Readout of Object Identity from Macaque Inferior Temporal Cortex | Zendy

Chou P. Hung | Zendy; Gabriel Kreiman | Zendy; Tomaso Poggio | Zendy; James J. DiCarlo | Zendy

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Fast Readout of Object Identity from Macaque Inferior Temporal Cortex

Author(s) -

Chou P. Hung,

Gabriel Kreiman,

Tomaso Poggio,

James J. DiCarlo

Publication year - 2005

Publication title -

science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 12.556

H-Index - 1186

eISSN - 1095-9203

pISSN - 0036-8075

DOI - 10.1126/science.1117593

Subject(s) - macaque , population , artificial intelligence , temporal cortex , computer science , pattern recognition (psychology) , cognitive neuroscience of visual object recognition , neuroscience , neural coding , object (grammar) , coding (social sciences) , computer vision , psychology , communication , mathematics , medicine , statistics , environmental health

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.

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