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GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
13 years 11 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
ENGL
2008
142views more  ENGL 2008»
13 years 10 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...
GRID
2006
Springer
13 years 10 months ago
Snapshot Processing in Streaming Environments
Monitoring and correlation of streaming data from multiple sources is becoming increasingly important in many application areas. Example applications include automated commodities...
Daniel M. Zimmerman, K. Mani Chandy
MCS
2008
Springer
13 years 10 months ago
Parameter identification and model verification in systems of partial differential equations applied to transdermal drug deliver
The purpose of this paper is to present some numerical tools which facilitate the interpretation of simulation or data fitting results and which allow to compute optimal experimen...
Klaus Schittkowski
AROBOTS
2004
127views more  AROBOTS 2004»
13 years 9 months ago
Hormone-Inspired Self-Organization and Distributed Control of Robotic Swarms
The control of robot swarming in a distributed manner is a difficult problem because global behaviors must emerge as a result of many local actions. This paper uses a bio-inspired ...
Wei-Min Shen, Peter M. Will, Aram Galstyan, Cheng-...