A Bandwidth-Efficient Emulator of Biologically-Relevant Spiking Neural Networks on FPGA

A Review of Biologically Plausible Neuron Modelsfor Spiking Neural Networks

In this paper, five mathematical models of single neurons are discussed and compared. The physical meanings, derivations, and differential equations of each model are provided. Since for many applications the spiking rates of neurons are of great importance, we compare the spiking rate patterns under different sustained current inputs. Numerical stability and accuracy are also considered. The c...

FPGA implementation of ReSuMe learning in Spiking Neural Networks

Recent simulation experiments with ReSuMe learning in Spiking Neural Networks (SNN) indicate that the networks of spiking neurons can be successfully applied to control neuroprostheses1. However, when considering efficient, portable neurocontrollers, one has to deal with the constraints defined by the task at hand, that is the strict requirements for the real-time operating of the controller, i...

Biologically inspired sound processing using spiking neural networks

Efficient Simulation Scheme for Spiking Neural Networks

Nearly all neuronal information processing and inter-neuronal communication in the brain involves action potentials, or spikes, which drive the short-term synaptic dynamics of neurons, but also their longterm dynamics, via synaptic plasticity. In many brain structures, action potential activity is considered to be sparse. This sparseness of activity has been exploited to reduce the computationa...

A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA Hardware

This paper presents a strategy for the implementation of large scale spiking neural network topologies on FPGA devices based on the I&F conductance model. Analysis of the logic requirements demonstrate that large scale implementations are not viable if a fully parallel implementation strategy is utilised. Thus the paper presents an alternative approach where a trade off in terms of speed/area i...