---
abstract: |
Inhibitory synapses contacting the soma and axon initial segment are commonly
presumed to participate in shaping the response properties of cortical pyramidal
cells. Such an inhibitory mechanism has been explored in numerous computational
models. However, the majority of inhibitory synapses target the dendrites of
pyramidal cells, and recent physiological data suggests that this dendritic
inhibition affects tuning properties. We describe a model that can be used to
investigate the role of dendritic inhibition in the competition between
neurons. With this model we demonstrate that dendritic inhibition significantly
enhances the computational and representational properties of neural networks.
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creators_name:
- family: Spratling
given: M W
honourific: ''
lineage: ''
- family: Johnson
given: M H
honourific: ''
lineage: ''
date: 2003
date_type: published
datestamp: 2004-04-06
department: ~
dir: disk0/00/00/35/43
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eprint_status: archive
eprintid: 3543
fileinfo: /style/images/fileicons/application_pdf.png;/3543/1/neurocomputing.pdf
full_text_status: public
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keywords: ~
lastmod: 2011-03-11 08:55:30
latitude: ~
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metadata_visibility: show
note: ~
number: ~
pagerange: 389-395
pubdom: FALSE
publication: Neurocomputing
publisher: ~
refereed: FALSE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 16:51:33
subjects:
- neuro-mod
- comp-neuro-sci
- comp-sci-neural-nets
succeeds: ~
suggestions: ~
sword_depositor: ~
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thesistype: ~
title: Exploring the functional significance of dendritic inhibition in cortical pyramidal cells
type: journalp
userid: 1040
volume: 52-54