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» Evolving a neural network using dyadic connections
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JCNS
2011
87views more  JCNS 2011»
13 years 2 months ago
Information-geometric measure of 3-neuron firing patterns characterizes scale-dependence in cortical networks
To understand the functional connectivity of neural networks, it is important to develop simple and incisive descriptors of multineuronal firing patterns. Analysis at the pairwise...
Ifije E. Ohiorhenuan, Jonathan D. Victor
IWANN
2005
Springer
14 years 1 months ago
Vision-Based Walking Parameter Estimation for Biped Locomotion Imitation
Abstract. This paper proposes a new vision-based system that can extract walking parameters from human demonstration. The system uses only a non-calibrated USB webcam connected to ...
Juan Pedro Bandera Rubio, Changjiu Zhou, Francisco...
JCP
2008
121views more  JCP 2008»
13 years 7 months ago
Relation Organization of SOM Initial Map by Improved Node Exchange
The Self Organizing Map (SOM) involves neural networks, that learns the features of input data thorough unsupervised, competitive neighborhood learning. In the SOM learning algorit...
Tsutomu Miyoshi
NIPS
1997
13 years 9 months ago
Computing with Action Potentials
Most computational engineering based loosely on biology uses continuous variables to represent neural activity. Yet most neurons communicate with action potentials. The engineerin...
John J. Hopfield, Carlos D. Brody, Sam T. Roweis
ISCA
2008
IEEE
119views Hardware» more  ISCA 2008»
13 years 7 months ago
Technology-Driven, Highly-Scalable Dragonfly Topology
Evolving technology and increasing pin-bandwidth motivate the use of high-radix routers to reduce the diameter, latency, and cost of interconnection networks. High-radix networks,...
John Kim, William J. Dally, Steve Scott, Dennis Ab...