de.mpg.escidoc.pubman.appbase.FacesBean
English
 
Help Guide Disclaimer Contact us Login
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Poster

Neural correlates of categorization in monkeys

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84222

Sigala,  N
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84063

Logothetis,  NK
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;

Locator
There are no locators available
Fulltext (public)
There are no public fulltexts available
Supplementary Material (public)
There is no public supplementary material available
Citation

Sigala, N., & Logothetis, N. (2002). Neural correlates of categorization in monkeys. Poster presented at 32nd Annual Meeting of the Society for Neuroscience (Neuroscience 2002), Orlando, FL, USA.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-DEA5-6
Abstract
Perception is arguably the end product of a categorization process. We investigated the effects of categorization on the representation of stimulus features in combined psychophysical-electrophysiological experiments. We recorded from visual neurons in the anterior inferior temporal (IT) and the lateral prefrontal (PF) cortex of macaque monkeys, while they were performing a categorization task. We used parameterized line drawings of faces and fish as stimuli, and we varied the relevance of the different features for the task. Recently, we reported that the majority (>72) of the anterior IT feature selective neurons were tuned for features that were diagnostic for the categorization task (Sigala Logothetis, 2002, Nature). Moreover, we suggested that this fine-tuning of the neurons reflects the perceptual sensitization to the diagnostic features, which was revealed in a separate psychophysical study (Sigala et al., 2002, J Cogn Neurosci). In addition, the psychophysical and electrophysiological data support an exemplar-based framework for understanding visual object recognition. Finally, we studied the contribution of the anterior IT and lateral PF cortex in the context of a categorization task with natural images.