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» Modeling Neural Processes in Lindenmayer Systems
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IJON
2006
71views more  IJON 2006»
15 years 10 days ago
A neurocomputational model of stochastic resonance and aging
Stochastic resonance (SR) is fundamental to physical and biological processes. Here, we use a stochastic gain-tuning model to investigate interactions between aging-related increa...
Shu-Chen Li, Timo von Oertzen, Ulman Lindenberger
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...
98
Voted
IJCNN
2008
IEEE
15 years 6 months ago
Adaptation of barn owl localization system with spike timing dependent plasticity
— To localize a seen object, the superior colliculus of the barn owl integrates the visual and auditory localization cues which are accessed from the sensory system of the brain....
Juan Huo, Alan F. Murray, Leslie Smith, Zhijun Yan...
112
Voted
ESWA
2008
172views more  ESWA 2008»
15 years 13 days ago
DADICC: Intelligent system for anomaly detection in a combined cycle gas turbine plant
DADICC is the abbreviated name for an intelligent system able to detect on-line and diagnose anomalies as soon as possible in the dynamic evolution of the behaviour of a power pla...
Antonio L. Arranz Matía, Alberto Cruz, Migu...
100
Voted
BC
2005
78views more  BC 2005»
15 years 8 days ago
Velocity constancy and models for wide-field visual motion detection in insects
The tangential neurons in the lobula plate region of the flies are known to respond to visual motion across broad receptive fields in visual space. When intracellular recordings ar...
Patrick A. Shoemaker, David C. O'Carroll, A. D. St...