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» Nonlinear Mapping Networks
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127
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IPSN
2003
Springer
15 years 8 months ago
Multi-target Sensor Management Using Alpha-Divergence Measures
This paper presents a sensor management scheme based on maximizing the expected R´enyi Information Divergence at each sample, applied to the problem of tracking multiple targets. ...
Christopher M. Kreucher, Keith Kastella, Alfred O....
121
Voted
NIPS
2007
15 years 5 months ago
Neural characterization in partially observed populations of spiking neurons
Point process encoding models provide powerful statistical methods for understanding the responses of neurons to sensory stimuli. Although these models have been successfully appl...
Jonathan Pillow, Peter E. Latham
129
Voted
NIPS
1997
15 years 4 months ago
Multi-modular Associative Memory
Recent imaging studies suggest that object knowledge is stored in the brain as a distributed network of many cortical areas. Motivated by these observations, we study a multi-modu...
Nir Levy, David Horn, Eytan Ruppin
106
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ICML
2010
IEEE
15 years 4 months ago
Deep Supervised t-Distributed Embedding
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
Martin Renqiang Min, Laurens van der Maaten, Zinen...
103
Voted
NN
2008
Springer
107views Neural Networks» more  NN 2008»
15 years 3 months ago
Impact of temporal coding of presynaptic entorhinal cortex grid cells on the formation of hippocampal place fields
Many behavioural experiments have pointed out the important role played by the hippocampus in spatial navigation. This role was enlightened by the discovery of hippocampal cells i...
Colin Molter, Yoko Yamaguchi