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» Correlation and Independence in the Neural Code
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IJON
2002
91views more  IJON 2002»
13 years 7 months ago
Information transmission by stochastic synapses with short-term depression: neural coding and optimization
The ability of dynamic synapses with short-term depression to transmit the information present in the presynaptic spike train to the postsynaptic neuron is discussed. Both by mini...
Jaime de la Rocha, Angel Nevado, Néstor Par...
DCC
2005
IEEE
14 years 7 months ago
Efficient Inter-Band Prediction and Wavelet Based Compression for Hyperspectral Imagery: A Distributed Source Coding Approach
Hyperspectral images have correlation at the level of pixels; moreover, images from neighboring frequency bands are also closely correlated. In this paper, we propose to use distr...
Caimu Tang, Ngai-Man Cheung, Antonio Ortega, Cauli...
JCNS
2010
119views more  JCNS 2010»
13 years 6 months ago
Disentanglement of local field potential sources by independent component analysis
The spontaneous activity of working neurons yields synaptic currents that mix up in the volume conductor. This activity is picked up by intracerebral recording electrodes as local ...
Valeri A. Makarov, Ioulia Makarova, Oscar Herreras
NIPS
2008
13 years 9 months ago
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
Kentaro Katahira, Jun Nishikawa, Kazuo Okanoya, Ma...
DCC
2007
IEEE
14 years 7 months ago
Lossless Transmission of Correlated Sources over a Multiple Access Channel with Side Information
In this paper, we consider lossless transmission of arbitrarily correlated sources over a multiple access channel. Characterization of the achievable rates in the most general set...
Deniz Gündüz, Elza Erkip