赫比理论
神经科学
突触可塑性
稳态可塑性
可塑性
变质塑性
突触标度
同突触可塑性
非突触性可塑性
计算机科学
生物
神经调节
神经可塑性
心理学
人工神经网络
人工智能
物理
热力学
生物化学
受体
刺激
作者
Jeffrey C. Magee,Christine Grienberger
出处
期刊:Annual Review of Neuroscience
[Annual Reviews]
日期:2020-02-20
卷期号:43 (1): 95-117
被引量:468
标识
DOI:10.1146/annurev-neuro-090919-022842
摘要
Synaptic plasticity, the activity-dependent change in neuronal connection strength, has long been considered an important component of learning and memory. Computational and engineering work corroborate the power of learning through the directed adjustment of connection weights. Here we review the fundamental elements of four broadly categorized forms of synaptic plasticity and discuss their functional capabilities and limitations. Although standard, correlation-based, Hebbian synaptic plasticity has been the primary focus of neuroscientists for decades, it is inherently limited. Three-factor plasticity rules supplement Hebbian forms with neuromodulation and eligibility traces, while true supervised types go even further by adding objectives and instructive signals. Finally, a recently discovered hippocampal form of synaptic plasticity combines the above elements, while leaving behind the primary Hebbian requirement. We suggest that the effort to determine the neural basis of adaptive behavior could benefit from renewed experimental and theoretical investigation of more powerful directed types of synaptic plasticity.
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