Implementation of STDP in Neuromorphic Analog VLSI
نویسندگان
چکیده
Spike-timing-dependent plasticity (STDP), an asymmetric form of Hebbian learning, shows how synaptic strength between neurons changes corresponding to time difference between preand postspikes [1]. It is widely believed that synaptic plasticity can learn and store information of brain, so understanding STDP helps study of the process of learning in the brain. Moreover, hardware implementation of STDP is of great importance in developing brainmachine interfaces. In this paper, we simulate weight change respect to a fixed time difference in Matlab. Then we design circuits to investigate continuous-time STDP by showing weight changes between two neurons. The circuit, which includes integrate and fire (I & F) neuron module, synaptic trace module and weight tower module, is designed and simulated in the Cadence design environment. At last we compare the simulation results of circuits with Matlab simulation results.
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