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» Analog Hardware Model for Morphological Neural Networks
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ENGL
2008
142views more  ENGL 2008»
13 years 7 months ago
A Solid-State Neuron for Spiking Neural Network Implementation
This paper presents a compact analog neuron cell incorporating an array of charge-coupled synapses connected via a common output terminal. The novel silicon synapse is based on a t...
Yajie Chen, Steve Hall, Liam McDaid, Octavian Buiu...
FPL
2008
Springer
125views Hardware» more  FPL 2008»
13 years 9 months ago
Reconfigurable platforms and the challenges for large-scale implementations of spiking neural networks
FPGA devices have witnessed popularity in their use for the rapid prototyping of biological Spiking Neural Network (SNNs) applications, as they offer the key requirement of reconf...
Jim Harkin, Fearghal Morgan, Steve Hall, Piotr Dud...
NN
2008
Springer
150views Neural Networks» more  NN 2008»
13 years 7 months ago
Neural network based pattern matching and spike detection tools and services - in the CARMEN neuroinformatics project
In the study of information flow in the nervous system, component processes can be investigated using a range of electrophysiological and imaging techniques. Although data is diff...
Martyn Fletcher, Bojian Liang, Leslie Smith, Alast...
ECAL
2003
Springer
14 years 26 days ago
First Steps in Evolving Path Integration in Simulation
Abstract. Path integration is a widely used method of navigation in nature whereby an animal continuously tracks its location by integrating its motion over the course of a journey...
Robert Vickerstaff
TCS
2008
13 years 7 months ago
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 mathematica...
Ioannis D. Zaharakis, Achilles D. Kameas