Literature DB >> 18259787

Ultra-rapid categorisation in non-human primates.

P Girard1, C Jouffrais, C H Kirchner.   

Abstract

The visual system of primates is remarkably efficient for analysing information about objects present in complex natural scenes. Recent work has demonstrated that they perform this at very high speeds. In a choice saccade task, human subjects can initiate a first reliable saccadic eye movement response to a target (the image containing an animal) in only 120 ms after image onset. Such fast responses impose severe time constraints if one considers neuronal responses latencies in high-level ventral areas of the macaque monkey. The question then arises: are non-human primates able to perform the task? Two rhesus macaque monkeys (Macaca mulatta) were trained to perform the same forced-choice categorization task as the one used in humans. Both animals performed the task with a high accuracy and generalized to new stimuli that were introduced everyday: accuracy levels were comparable both with new and well-known images (84% vs. 94%). More importantly, reaction times were extremely fast (minimum reaction time 100 ms and median reaction time 152 ms). Given that typical single units onset times in Inferotemporal cortex (IT) are about as long as the shortest behavioural responses measured here, we conclude that visual processing involved in ultra rapid categorizations might be based on rather simple shape cue analysis that can be achieved in areas such as extrastriate cortical area V4. The present paper demonstrates for the first time, that rhesus macaque monkeys (Macaca mulatta) are able to match human performance in a forced-choice saccadic categorisation task of animals in natural scenes.

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Year:  2008        PMID: 18259787     DOI: 10.1007/s10071-008-0139-2

Source DB:  PubMed          Journal:  Anim Cogn        ISSN: 1435-9448            Impact factor:   3.084


  5 in total

1.  Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model.

Authors:  Timothée Masquelier
Journal:  J Comput Neurosci       Date:  2011-09-21       Impact factor: 1.621

2.  Measurement of neuronal activity in a macaque monkey in response to animate images using near-infrared spectroscopy.

Authors:  Masumi Wakita; Masahiro Shibasaki; Takashi Ishizuka; Joerg Schnackenberg; Michiyuki Fujiawara; Nobuo Masataka
Journal:  Front Behav Neurosci       Date:  2010-06-07       Impact factor: 3.558

3.  Ultra-rapid categorization of fourier-spectrum equalized natural images: macaques and humans perform similarly.

Authors:  Pascal Girard; Roger Koenig-Robert
Journal:  PLoS One       Date:  2011-02-04       Impact factor: 3.240

4.  Dynamic divisive normalization circuits explain and predict change detection in monkey area MT.

Authors:  Udo A Ernst; Xiao Chen; Lisa Bohnenkamp; Fingal Orlando Galashan; Detlef Wegener
Journal:  PLoS Comput Biol       Date:  2021-11-12       Impact factor: 4.475

5.  How plausible is a subcortical account of rapid visual recognition?

Authors:  Maxime Cauchoix; Sébastien M Crouzet
Journal:  Front Hum Neurosci       Date:  2013-02-27       Impact factor: 3.169

  5 in total

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