Literature DB >> 15496489

Object perception in natural scenes: encoding by inferior temporal cortex simultaneously recorded neurons.

Nikolaos C Aggelopoulos1, Leonardo Franco, Edmund T Rolls.   

Abstract

The firing of inferior temporal cortex neurons is tuned to objects and faces, and in a complex scene, their receptive fields are reduced to become similar to the size of an object being fixated. These two properties may underlie how objects in scenes are encoded. An alternative hypothesis suggests that visual perception requires the binding of features of the visual target through spike synchrony in a neuronal assembly. To examine possible contributions of firing synchrony of inferior temporal neurons, we made simultaneous recordings of the activity of several neurons while macaques performed a visual discrimination task. The stimuli were presented in either plain or complex backgrounds. The encoding of information of neurons was analyzed using a decoding algorithm. Ninety-four percent to 99% of the total information was available in the firing rate spike counts, and the contribution of spike timing calculated as stimulus-dependent synchronization (SDS) added only 1-6% of information to the total that was independent of the spike counts in the complex background. Similar results were obtained in the plain background. The quantitatively small contribution of spike timing to the overall information available in spike patterns suggests that information encoding about which stimulus was shown by inferior temporal neurons is achieved mainly by rate coding. Furthermore, it was shown that there was little redundancy (6%) between the information provided by the spike counts of the simultaneously recorded neurons, making spike counts an efficient population code with a high encoding capacity.

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Year:  2004        PMID: 15496489     DOI: 10.1152/jn.00553.2004

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  8 in total

1.  Invariant Visual Object and Face Recognition: Neural and Computational Bases, and a Model, VisNet.

Authors:  Edmund T Rolls
Journal:  Front Comput Neurosci       Date:  2012-06-19       Impact factor: 2.380

2.  Joint decoding of visual stimuli by IT neurons' spike counts is not improved by simultaneous recording.

Authors:  Britt Anderson; Mark I Sanderson; David L Sheinberg
Journal:  Exp Brain Res       Date:  2006-07-28       Impact factor: 1.972

3.  Dynamic population coding of category information in inferior temporal and prefrontal cortex.

Authors:  Ethan M Meyers; David J Freedman; Gabriel Kreiman; Earl K Miller; Tomaso Poggio
Journal:  J Neurophysiol       Date:  2008-06-18       Impact factor: 2.714

4.  Network Anisotropy Trumps Noise for Efficient Object Coding in Macaque Inferior Temporal Cortex.

Authors:  Yueh-Peng Chen; Chia-Pei Lin; Yu-Chun Hsu; Chou P Hung
Journal:  J Neurosci       Date:  2015-07-08       Impact factor: 6.167

5.  Modulating the granularity of category formation by global cortical States.

Authors:  Yihwa Kim; Boris B Vladimirskiy; Walter Senn
Journal:  Front Comput Neurosci       Date:  2008-06-03       Impact factor: 2.380

6.  Invariant visual object recognition: biologically plausible approaches.

Authors:  Leigh Robinson; Edmund T Rolls
Journal:  Biol Cybern       Date:  2015-09-03       Impact factor: 2.086

7.  Sudden synchrony leaps accompanied by frequency multiplications in neuronal activity.

Authors:  Roni Vardi; Amir Goldental; Shoshana Guberman; Alexander Kalmanovich; Hagar Marmari; Ido Kanter
Journal:  Front Neural Circuits       Date:  2013-10-30       Impact factor: 3.492

8.  Finding and recognizing objects in natural scenes: complementary computations in the dorsal and ventral visual systems.

Authors:  Edmund T Rolls; Tristan J Webb
Journal:  Front Comput Neurosci       Date:  2014-08-12       Impact factor: 2.380

  8 in total

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