Spiking Neuron Models: An Introduction
Spiking Neuron Models: An Introduction
A spiking neuron model: applications and learning
Neural Networks
Simulation of Spiking Neural Networks on Different Hardware Platforms
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
NeuroPipe-Chip: A digital neuro-processor for spiking neural networks
IEEE Transactions on Neural Networks
A novel approach for the implementation of large scale spiking neural networks on FPGA hardware
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
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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.