Finding appropriate parameter voltages for driving a low-power analog silicon neuron circuit

DOI DOI オープンアクセス
  • Tange Atsuya
    Department of Electrical Engineering and Information Systems, The University of Tokyo
  • Kohno Takashi
    Institute of Industrial Science, The University of Tokyo

説明

This research focuses on a silicon neuron circuit designed utilizing a qualitative neuronal modeling approach. In this circuit, temperature, fabrication mismatch, and secondary effects of transistors cause the difference between the intended characteristics and those in the implemented circuits. Therefore, we have to tune the bias voltages for each neuron instance to realize the desired dynamical behavior after circuit implementation. We constructed an algorithm to automatically find appropriate values for the bias voltages.

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