Authors:
Katsutoshi Saeki
;
Shingo Watanabe
;
Toshiharu Morita
and
Yoshifumi Sekine
Affiliation:
Nihon University, Japan
Keyword(s):
Neural Network, Pulse-Type, STDP, Synaptic Weight, Neuro Device, Memory.
Related
Ontology
Subjects/Areas/Topics:
Biocomputing and Biochips
;
Biomedical Engineering
;
Biomedical Instruments and Devices
;
Biorobotics
Abstract:
Since neural networks have superior information processing functions, many investigators have attemptted to model biological neurons and neural networks. A number of recent studies of neural networks have been conducted with the purpose of applying engineering to the brain. Especially, neuro devices have been created that focus on how learning is achieved. Here, we focus on spike timing dependent synaptic plasticity (STDP) and construct pulse-type neuro devices with STDP. In this paper, we focus on two time windows in STDP, and we propose a synaptic weight generation circuit which indicates an asymmetric or a symmetric time window by changing voltages in the proposed circuit. As a result, we show that a pulse-type neuro device with two time windows in STDP stores temporal sequence output voltage patterns which conform to the temporal sequence input current patterns for memory.