Post-synaptic Time-dependent Conductances in Spiking Neurons: FPGA Implementation of a Flexible Cell Model

Abstract

This work presents a flexible reconfigurable approach to a bioinspired spiking neuron. The main objective of this contribution is to evaluate the silicon cost of the implementation of lime-dependent conductances in spiking neurons. The design presented here has been defined using a high level Hardware Description Language (HDL). This facilitates the extraction of simulation results, and the easy change of the circuit. The paper discusses how different aspects of lime-dependent conductances can be particularized in the circuit, and Iheir hardware requirements.

Publication
7th International Work-Conference on Artificial and Natural Neural Networks
Eduardo Ros
Eduardo Ros
Full Professor

Full professor in computer architecture, principal investigator at the Computational Neuroscience and Neurorobotics Lab and principal investigator of the VALERIA lab of the University of Granada.

Ríchard R. Carrillo
Ríchard R. Carrillo
Assistant Professor

Associate Professor at the Department of Computer Engineering, Automation and Robotics and Principal Investigator at the Applied Computational Neuroscience Group.