NDLI: Representations and dynamics of representations of simple visual stimuli by ensembles of neurons in cat visual cortex studied with a microelectrode array

Content Provider	IEEE Xplore Digital Library
Author	Normann, R.A. Warren, D. Koulakov, A.
Copyright Year	2003
Description	Author affiliation: Dept. of Bioeng., Utah Univ., Salt Lake City, UT, USA (Normann, R.A.; Warren, D.)
Abstract	The features that constitute simple visual images are encoded by networks of interacting neurons at each level of the visual pathways. One such fundamental feature is line or bar orientation. It has long been appreciated that the neurons in the visual cortex appear to deconstruct images into sets of oriented lines. Thus, the neural representation of the orientation of moving bars by neural ensembles is a fundamental property of the vertebrate visual system. We have used high electrode count microelectrode arrays to study how the neurons of cat visual cortex encode simple moving stimuli, and what are the dynamics of this encoding process. Microelectrode arrays allow one to study these issues with both high spatial and temporal resolutions. We have used simple linear models to estimate stimulus orientation from ensemble firing patterns, and have found that groups of non-orientation sensitive neurons are as effective at encoding stimulus orientation as groups of orientation sensitive neurons. These findings have implications for both basic studies of neural encoding and for therapeutic applications such as human engineered artificial vision systems.
Starting Page	91
Ending Page	94
File Size	692465
Page Count	4
File Format	PDF
ISBN	0780375793
DOI	10.1109/CNE.2003.1196763
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-03-20
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrodes Microelectrodes Visual system Neurons Humans Brain modeling Systems engineering and theory Encoding Spatial resolution Bars
Content Type	Text
Resource Type	Article

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