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» Information-Geometric Measure for Neural Spikes
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BC
2006
62views more  BC 2006»
13 years 8 months ago
Population approach to a neural discrimination task
Abstract This article gives insights into the possible neuronal processes involved in visual discrimination. We study the performance of a spiking network of Integrate-and-Fire (IF...
Benoit Gaillard, Hilary Buxton, Jianfeng Feng
IJCNN
2008
IEEE
14 years 3 months ago
Evolving a neural network using dyadic connections
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
Andreas Huemer, Mario A. Góngora, David A. ...
ISCAS
2006
IEEE
144views Hardware» more  ISCAS 2006»
14 years 2 months ago
A VLSI spike-driven dynamic synapse which learns only when necessary
— We describe an analog VLSI circuit implementing spike-driven synaptic plasticity, embedded in a network of integrate-and-fire neurons. This biologically inspired synapse is hi...
S. Mitra, Stefano Fusi, Giacomo Indiveri
NECO
2010
147views more  NECO 2010»
13 years 7 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...
CORR
2010
Springer
95views Education» more  CORR 2010»
13 years 6 months ago
When are feedforward microcircuits well-modeled by maximum entropy methods?
Describing the collective activity of neural populations is a daunting task: the number of possible patterns grows exponentially with the number of cells, resulting in practically...
Andrea K. Barreiro, Julijana Gjorgjieva, Fred Riek...