Name
Title | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/3-540-44869-1_19 | IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods |
Keywords | Field | DocType |
easy change,hardware description language,fpga implementation,bioinspired spiking neuron,spiking neurons,iheir hardware requirement,flexible reconfigurable approach,spiking neuron,main objective,different aspect,lime-dependent conductances,post-synaptic time-dependent conductances,flexible cell model,high level | Computer architecture,Biological neuron model,Computer science,Field-programmable gate array,High-level programming language,Artificial neural network,Cell model,Control reconfiguration,Hardware description language,Embedded system,Distributed computing | Conference |
Citations | PageRank | References |
5 | 1.32 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eduardo Ros | 1 | 1100 | 86.00 |
| Rodrigo Agís | 2 | 154 | 13.25 |
| Richard R. Carrillo | 3 | 221 | 16.45 |
| Eva M. Ortigosa | 4 | 83 | 10.93 |