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Playing the electric light orchestra--how electrical stimulation of visual cortex elucidates the neural basis of perception

Abstract:
Vision research has the potential to reveal fundamental mechanisms underlying sensory experience. Causal experimental approaches, such as electrical microstimulation, provide a unique opportunity to test the direct contributions of visual cortical neurons to perception and behaviour. But in spite of their importance, causal methods constitute a minority of the experiments used to investigate the visual cortex to date. We reconsider the function and organization of visual cortex according to results obtained from stimulation techniques, with a special emphasis on electrical stimulation of small groups of cells in awake subjects who can report their visual experience. We compare findings from humans and monkeys, striate and extrastriate cortex, and superficial versus deep cortical layers, and identify a number of revealing gaps in the 'causal map' of visual cortex. Integrating results from different methods and species, we provide a critical overview of the ways in which causal approaches have been used to further our understanding of circuitry, plasticity and information integration in visual cortex. Electrical stimulation not only elucidates the contributions of different visual areas to perception, but also contributes to our understanding of neuronal mechanisms underlying memory, attention and decision-making.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1098/rstb.2014.0206

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Physiology Anatomy & Genetics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Physiology Anatomy & Genetics
Role:
Author


Publisher:
Royal Society
Journal:
Philosophical Transactions B: Biological Sciences More from this journal
Volume:
370
Issue:
1677
Article number:
20140206
Publication date:
2015-09-19
Acceptance date:
2015-05-31
DOI:
EISSN:
1471-2970
ISSN:
0962-8436


Language:
English
Keywords:
Pubs id:
pubs:536593
UUID:
uuid:2ac9b17a-ebb7-4ba0-bfeb-d2211f472cce
Local pid:
pubs:536593
Source identifiers:
536593
Deposit date:
2016-03-02
ARK identifier:

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