Integrated Pulse Neuron Circuit for Asynchronous Pulse Neural Networks

Takuya Taniguchi, Yoshihiko Horio, Kazuyuki Aihara

研究成果: Paper査読

5 被引用数 (Scopus)


We propose an integrated neuron circuit for an asynchronous pulse neural network model. The circuit is suitable for an implementation of a wide range of spatio-temporal coding networks since the circuit can function as both a coincidence detector and an integrator of the input pulses by properly setting bias voltages. We fabricate a prototype chip for the proposed circuit using MOSIS HP/Agilent 0.5 μm CMOS semiconductor process. The experimental measurements from the chip confirm that the integrated neuron circuit qualitatively replicates the behavior of the model. Especially, coincidence detection of input pulses in a short-time window, and further, complex behavior including chaos in the internal state value and in the interspike intervals of the output pulses are illustrated.

出版ステータスPublished - 2003 9 24
イベントInternational Joint Conference on Neural Networks 2003 - Portland, OR, United States
継続期間: 2003 7 202003 7 24


OtherInternational Joint Conference on Neural Networks 2003
国/地域United States
CityPortland, OR

ASJC Scopus subject areas

  • ソフトウェア
  • 人工知能


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