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» Tristability in Model Neurons
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ISNN
2007
Springer
15 years 3 months ago
Sparse Coding in Sparse Winner Networks
This paper investigates a mechanism for reliable generation of sparse code in a sparsely connected, hierarchical, learning memory. Activity reduction is accomplished with local com...
Janusz A. Starzyk, Yinyin Liu, David D. Vogel
IWANN
2005
Springer
15 years 3 months ago
Real-Time Spiking Neural Network: An Adaptive Cerebellar Model
Abstract. A spiking neural network modeling the cerebellum is presented. The model, consisting of more than 2000 conductance-based neurons and more than 50 000 synapses, runs in re...
Christian Boucheny, Richard R. Carrillo, Eduardo R...
ICANN
2005
Springer
15 years 3 months ago
Building the Cerebellum in a Computer
Abstract. We have built a realistic computational model of the cerebellum. This model simulates the cerebellar cortex of the size 0.5mm×1mm consisting of several types of neurons,...
Tadashi Yamazaki, Shigeru Tanaka
86
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ICASSP
2008
IEEE
15 years 4 months ago
Information theoretic bounds on neural prosthesis effectiveness: The importance of spike sorting
We compute the capacity of neural prostheses using a vector Poisson process model for the neural population channel. For single-electrode stimulation prostheses, the capacity is p...
Ilan N. Goodman, Don H. Johnson
IJCNN
2008
IEEE
15 years 4 months ago
Wafer-scale integration of analog neural networks
Abstract— This paper introduces a novel design of an artificial neural network tailored for wafer-scale integration. The presented VLSI implementation includes continuous-time a...
Johannes Schemmel, Johannes Fieres, Karlheinz Meie...