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» On the Computational Power of Neural Nets
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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 5 months ago
Generating large-scale neural networks through discovering geometric regularities
Connectivity patterns in biological brains exhibit many repeating motifs. This repetition mirrors inherent geometric regularities in the physical world. For example, stimuli that ...
Jason Gauci, Kenneth O. Stanley
MICRO
2008
IEEE
72views Hardware» more  MICRO 2008»
15 years 6 months ago
Low-power, high-performance analog neural branch prediction
Shrinking transistor sizes and a trend toward low-power processors have caused increased leakage, high per-device variation and a larger number of hard and soft errors. Maintainin...
Renée St. Amant, Daniel A. Jiménez, ...
RTCSA
2005
IEEE
15 years 5 months ago
An Overview of the VigilNet Architecture
Battlefield surveillance often involves a high element of risk for military operators. Hence, it is very important for the military to execute unmanned surveillance by using larg...
Tian He, Liqian Luo, Ting Yan, Lin Gu, Qing Cao, G...
IAJIT
2010
166views more  IAJIT 2010»
14 years 10 months ago
Specification and Prototyping of Reactive Distributed Systems with Algebraic Term Nets
: The specification of the dynamic behaviour of reactive distributed systems must exhibit the structures of control and has to imply explicitly the relevant aspects of the distribu...
Faiza Bouchoul, Mohamed Mostefai
NECO
2010
147views more  NECO 2010»
14 years 10 months ago
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
Lars Büsing, Benjamin Schrauwen, Robert A. Le...