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» On the Computational Power of Neural Nets
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CHI
2010
ACM
15 years 6 months ago
ManyNets: an interface for multiple network analysis and visualization
Traditional network analysis tools support analysts in studying a single network. ManyNets offers these analysts a powerful new approach that enables them to work on multiple netw...
Manuel Freire, Catherine Plaisant, Ben Shneiderman...
ICRA
2005
IEEE
106views Robotics» more  ICRA 2005»
15 years 5 months ago
Robot Guidance with Neuromorphic Motion Sensors
— Neuromorphic motion sensors are attractive for use on battery powered robots which require a low payload. Their features include low power consumption, continuous computation, ...
Lukas Reichel, David Liechti, Karl Presser, Shih-C...
FUIN
2006
105views more  FUIN 2006»
14 years 11 months ago
Spiking Neural P Systems
This paper is an attempt to incorporate the idea of spiking neurons into the area of membrane computing, and to this aim we introduce a class of neural-like P systems which we cal...
Mihai Ionescu, Gheorghe Paun, Takashi Yokomori
NIPS
2000
15 years 1 months ago
Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
Thomas Natschläger, Wolfgang Maass, Eduardo D...
ISORC
2005
IEEE
15 years 5 months ago
Heterogeneous Adaptive Component-Based Applications with Adaptive.Net
Adaptation to changing environmental conditions is a major challenge for most distributed applications. The service-oriented programming paradigm leads to an increasing number of ...
Andreas Rasche, Marco Puhlmann, Andreas Polze