神经科学
突触可塑性
变质塑性
突触标度
神经系统
计算机科学
非突触性可塑性
人工神经网络
神经可塑性
生物
人工智能
生物化学
受体
出处
期刊:PubMed
日期:2000-02-01
卷期号:156 (2): 127-36
被引量:1
摘要
Neurons, within the nervous system, are organized in different neural networks through synaptic connections. Two fundamental components are dynamically interacting in these functional units. The first one are the neurons themselves, and far from being simple action potential generators, they are capable of complex electrical integrative properties due to various types, number, distribution and modulation of voltage-gated ionic channels. The second elements are the synapses where a similar complexity and plasticity is found. Identifying both cellular and synaptic intrinsic properties is necessary to understand the links between neural networks behavior and physiological function, and is a useful step towards a better control of neurological diseases.
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