Sound localization with spiking neural networks

Binaural Sound Localization in Spiking Neural Networks

Biologically inspired sound processing using spiking neural networks

Modeling with Spiking Neural Networks

This chapter reviews recent developments in the area of spiking neural networks (SNN) and summarizes the main contributions to this research field. We give background information about the functioning of biological neurons, discuss the most important mathematical neural models along with neural encoding techniques, learning algorithms, and applications of spiking neurons. As a specific applicat...

Modeling spiking neural networks

A notation for the functional specification of a wide range of neural networks consisting of temporal or non-temporal neurons, is proposed. The notation is primarily a mathematical framework, but it can also be illustrated graphically and can be extended into a language in order to be automated. Its basic building blocks are processing entities, finer grained than neurons, connected by instant ...

Embedded spiking neural networks

In this paper we introduce the ongoing research at our department concerning hardware implementations of spiking neural networks on embedded systems. Our goal is to implement a spiking neural network in reconfigurable hardware, more specifically embedded systems. Keywords— Hardware neural networks, embedded sys-