期刊
NEUROCOMPUTING
卷 52-4, 期 -, 页码 389-395出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/S0925-2312(02)00847-0
关键词
dendrites; inhibition; competition; receptive fields; learning
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. (C) 2003 Elsevier Science B.V. All rights reserved.
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