Analog CMOS synaptic learning circuits adapted from invertebrate biology
Analog CMOS synaptic learning circuits adapted from invertebrate biology
复制标题
改编自无脊椎动物生物学的模拟 CMOS 突触学习电路
DOI：
10.1109/31.108497
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发表时间：
1991
期刊：
影响因子：
--
通讯作者：
H. Card
中科院分区：
文献类型：
--
作者：
C. Schneider;H. Card
提出了实现某些生物突触过程抽象的模拟 CMOS 电路。特别是，这些电路提取了在海洋软体动物海兔中观察到的突触学习特征。对两种类型的非联想学习（习惯化和敏化）以及联想学习（经典条件反射）进行了建模。海兔使用的突触学习规则比人工神经网络 (ANN) 中通常使用的规则复杂得多，因此人们推测额外的生物细节可能对 ANN 模型有益。所描述的突触电路预计可用作具有高阶突触和执行多个输入的时间关联的学习规则的 ANN 中的基本原语。 >
Analog CMOS circuits implementing abstractions of certain biological synaptic processes are presented. In particular, the circuits extract features of synaptic learning observed in the marine mollusk Aplysia. Two types of nonassociative learning, habituation and sensitization, as well as associative learning (classical conditioning), are modeled. The synaptic learning rules used by Aplysia are considerably more complex than those typically used in artificial neural networks (ANNs), leading to the speculation that additional biological detail may be beneficial in ANN models. The synaptic circuitry described is expected to be useful as a basic primitive in ANNs with higher order synapses and learning rules that perform temporal association of multiple inputs. >