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摘要
En 中文
The vast computational power of the brain has traditionally been viewed as arising from the complex connectivity of neural networks, in which an individual neuron acts as a simple linear summation and thresholding device. However, recent studies show that individual neurons utilize a wealth of nonlinear mechanisms to transform synaptic input into output firing. These mechanisms can arise from synaptic plasticity, synaptic noise, and somatic and dendritic conductances. This tool kit of nonlinear mechanisms confers considerable computational power on both morphologically simple and more complex neurons, enabling them to perform a range of arithmetic operations on signals encoded in a variety of different ways.
Keyword:
NEOCORTICAL PYRAMIDAL NEURONS
CAT VISUAL-CORTEX
POSTERIOR PARIETAL NEURONS
CEREBELLAR GRANULE CELLS
FIRING RATE GAIN
IN-VIVO
SHUNTING INHIBITION
CORTICAL-NEURONS
SYNAPTIC INPUT
BASAL DENDRITES
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论文数:
4.0K
被引数:
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