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COGSR
2011
99views more  COGSR 2011»
14 years 5 months ago
A biologically realistic cleanup memory: Autoassociation in spiking neurons
Methods for cleaning up (or recognizing) states of a neural network are crucial for the functioning of many neural cognitive models. For example, Vector Symbolic Architectures pro...
Terrence C. Stewart, Yichuan Tang, Chris Eliasmith
CORR
2010
Springer
169views Education» more  CORR 2010»
14 years 10 months ago
Spiking Neurons with ASNN Based-Methods for the Neural Block Cipher
Problem statement: This paper examines Artificial Spiking Neural Network (ASNN) which inter-connects group of artificial neurons that uses a mathematical model with the aid of blo...
Saleh Ali K. Al-Omari, Putra Sumari
EVOW
2009
Springer
15 years 2 months ago
Efficient Signal Processing and Anomaly Detection in Wireless Sensor Networks
In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...
Markus Wälchli, Torsten Braun
NIPS
1997
14 years 11 months ago
A 1, 000-Neuron System with One Million 7-bit Physical Interconnections
An asynchronous PDM (Pulse-Density-Modulating) digital neural network system has been developed in our laboratory. It consists of one thousand neurons that are physically intercon...
Yuzo Hirai
ICANN
2003
Springer
15 years 3 months ago
Online Processing of Multiple Inputs in a Sparsely-Connected Recurrent Neural Network
The storage and short-term memory capacities of recurrent neural networks of spiking neurons are investigated. We demonstrate that it is possible to process online many superimpose...
Julien Mayor, Wulfram Gerstner