Artificial Life and Robotics

, Volume 19, Issue 3, pp 215–219

Silicon neuron: digital hardware implementation of the quartic model

Original Article

DOI: 10.1007/s10015-014-0160-2

Cite this article as:
Grassia, F., Levi, T., Kohno, T. et al. Artif Life Robotics (2014) 19: 215. doi:10.1007/s10015-014-0160-2

Abstract

This paper presents an FPGA implementation of the quartic neuron model. This approach uses digital computation to emulate individual neuron behavior. We implemented the neuron model using fixed-point arithmetic operation. The neuron model’s computations are performed in arithmetic pipelines. It was designed in VHDL language and simulated prior to mapping in the FPGA. We show that the proposed FPGA implementation of the quartic neuron model can emulate the electrophysiological activities in various types of cortical neurons and is capable of producing a variety of different behaviors, with diversity similar to that of neuronal cells. The neuron family of this digital neuron can be modified by appropriately adjusting the neuron model’s parameters.

Keywords

Silicon neuron Neuromorphic engineering FPGA Cortical neuron Quartic model 

Copyright information

© ISAROB 2014

Authors and Affiliations

  1. 1.IMS Lab.University of BordeauxBordeauxFrance
  2. 2.LIMMS/CNRS-IIS, Institute of Industrial ScienceThe University of TokyoTokyoJapan

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