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» A Spiking Neuron as Information Bottleneck
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TNN
2011
126views more  TNN 2011»
13 years 2 months ago
Video Time Encoding Machines
—We investigate architectures for time encoding and time decoding of visual stimuli such as natural and synthetic video streams (movies, animation). The architecture for time enc...
Aurel A. Lazar, Eftychios A. Pnevmatikakis
NIPS
2008
13 years 9 months ago
Characterizing neural dependencies with copula models
The coding of information by neural populations depends critically on the statistical dependencies between neuronal responses. However, there is no simple model that can simultane...
Pietro Berkes, Frank Wood, Jonathan Pillow
ISCAS
2006
IEEE
143views Hardware» more  ISCAS 2006»
14 years 1 months ago
Dynamic computation in a recurrent network of heterogeneous silicon neurons
Abstract—We describe a neuromorphic chip with a twolayer excitatory-inhibitory recurrent network of spiking neurons that exhibits localized clusters of neural activity. Unlike ot...
Paul Merolla, Kwabena Boahen
JCNS
2002
101views more  JCNS 2002»
13 years 7 months ago
Redundancy and Synergy Arising from Pairwise Correlations in Neuronal Ensembles
Multielectrode arrays allow recording of the activity of many single neurons, from which correlations can be calculated. The functional roles of correlations can be revealed by mea...
Michele Bezzi, Mathew E. Diamond, Alessandro Treve...
NIPS
2004
13 years 8 months ago
Probabilistic Computation in Spiking Populations
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
Richard S. Zemel, Quentin J. M. Huys, Rama Nataraj...