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NPL
2000
146views more  NPL 2000»
13 years 5 months ago
Competitive and Temporal Inhibition Structures with Spiking Neurons
The paper describes the implementation of competitive neural structures based on a spiking neural model that includes multiplicative or shunting synapses enabling non-saturated sta...
Eduardo Ros Vidal, Francisco J. Pelayo, P. Martin-...
FCCM
2009
IEEE
147views VLSI» more  FCCM 2009»
13 years 9 months ago
FPGA Accelerated Simulation of Biologically Plausible Spiking Neural Networks
Artificial neural networks are a key tool for researchers attempting to understand and replicate the behaviour and intelligence found in biological neural networks. Software simul...
David Thomas, Wayne Luk
CEC
2009
IEEE
13 years 9 months ago
JubiTool: Unified design flow for the Perplexus SIMD hardware accelerator
This paper presents a new unified design flow developed within the Perplexus project that aims to accelerate parallelizable data-intensive applications in the context of ubiquitous...
Olivier Brousse, Jérémie Guillot, Th...
ISCAS
2005
IEEE
117views Hardware» more  ISCAS 2005»
13 years 11 months ago
A VLSI model of the bat dorsal nucleus of the lateral lemniscus for azimuthal echolocation
— The dorsal nucleus of the lateral lemniscus (DNLL) is a distinct group of auditory cells that play a strategic role in azimuthal echolocation in the bat. Dominated by EI-type c...
Rock Z. Shi, Timothy K. Horiuchi
ICIC
2007
Springer
13 years 11 months ago
Edge Detection Based on Spiking Neural Network Model
Inspired by the behaviour of biological receptive fields and the human visual system, a network model based on spiking neurons is proposed to detect edges in a visual image. The st...
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...