Sciweavers

163 search results - page 21 / 33
» Neural Mesh Ensembles
Sort
View
96
Voted
BC
2007
107views more  BC 2007»
15 years 16 days ago
Decoding spike train ensembles: tracking a moving stimulus
We consider the issue of how to read out the information from nonstationary spike train ensembles. Based on the theory of censored data in statistics, we propose a ‘censored’ m...
Enrico Rossoni, Jianfeng Feng
91
Voted
ISMB
2000
15 years 1 months ago
Prediction of the Number of Residue Contacts in Proteins
Knowing the number of residue contacts in a protein is crucial for deriving constraints useful in modeling protein folding, protein structure, and/or scoring remote homology searc...
Piero Fariselli, Rita Casadio
92
Voted
NECO
2008
106views more  NECO 2008»
15 years 11 days ago
Faithful Representation of Stimuli with a Population of Integrate-and-Fire Neurons
We consider a formal model of stimulus encoding with a circuit consisting of a bank of filters and an ensemble of integrate-and-fire neurons. Such models arise in olfactory system...
Aurel A. Lazar, Eftychios A. Pnevmatikakis
91
Voted
INFFUS
2006
71views more  INFFUS 2006»
15 years 12 days ago
Comparative implementation of two fusion schemes for multiple complementary FLIR imagery classifiers
Several classifiers for forward looking infra-red imagery are designed and implemented, and their relative performance is benchmarked on 2545 images belonging to 8 different ship ...
Pierre Valin, Francois Rhéaume, Claude Trem...
96
Voted
AAAI
2004
15 years 1 months ago
Fibring Neural Networks
Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
Artur S. d'Avila Garcez, Dov M. Gabbay