Biologically Relevant Dynamical Behaviors Realized in an Ultra-Compact Neuron Model

Frontiers in Neuroscience

Olivier Schneegans¹  Pablo Stoliar²  Marcelo J. Rozenberg³ 

[1] CentraleSupélec, CNRS, Université Paris-Saclay, Sorbonne Université, Laboratoire de Génie Electrique et Electronique de Paris, Gif-sur-Yvette, France;National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan;Université Paris-Saclay, CNRS, Laboratoire de Physique des Solides, Orsay, France;

关键词: spiking neural networks;    neuron models;    leaky-integrated-and-fire;    artificial intelligence;    neuromorphic electronic circuits;    neuromorphic computers;   

DOI  :  10.3389/fnins.2020.00421

来源: DOAJ

【 摘 要 】

We demonstrate a variety of biologically relevant dynamical behaviors building on a recently introduced ultra-compact neuron (UCN) model. We provide the detailed circuits which all share a common basic block that realizes the leaky-integrate-and-fire (LIF) spiking behavior. All circuits have a small number of active components and the basic block has only three, two transistors and a silicon controlled rectifier (SCR). We also demonstrate that numerical simulations can faithfully represent the variety of spiking behavior and can be used for further exploration of dynamical behaviors. Taking Izhikevich’s set of biologically relevant behaviors as a reference, our work demonstrates that a circuit of a LIF neuron model can be used as a basis to implement a large variety of relevant spiking patterns. These behaviors may be useful to construct neural networks that can capture complex brain dynamics or may also be useful for artificial intelligence applications. Our UCN model can therefore be considered the electronic circuit counterpart of Izhikevich’s (2003) mathematical neuron model, sharing its two seemingly contradicting features, extreme simplicity and rich dynamical behavior.

【 授权许可】

Unknown