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» Correlation Codes in Neuronal Populations
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NECO
2007
108views more  NECO 2007»
13 years 7 months ago
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...
BMCBI
2011
12 years 11 months ago
NeurphologyJ: an automatic neuronal morphology quantification method and its application in pharmacological discovery
Background: Automatic quantification of neuronal morphology from images of fluorescence microscopy plays an increasingly important role in high-content screenings. However, there ...
Shinn-Ying Ho, Chih-Yuan Chao, Hui-Ling Huang, Tza...
NECO
2000
133views more  NECO 2000»
13 years 7 months ago
Neural Coding: Higher-Order Temporal Patterns in the Neurostatistics of Cell Assemblies
Recent advances in the technology of multi-unit recordings make it possible to test Hebb's hypothesis that neurons do not function in isolation but are organized in assemblie...
Laura Martignon, Gustavo Deco, Kathryn B. Laskey, ...
NIPS
2003
13 years 9 months ago
Prediction on Spike Data Using Kernel Algorithms
We report and compare the performance of different learning algorithms based on data from cortical recordings. The task is to predict the orientation of visual stimuli from the ac...
Jan Eichhorn, Andreas S. Tolias, Alexander Zien, M...
BIOADIT
2006
Springer
13 years 11 months ago
Attractor Memory with Self-organizing Input
We propose a neural network based autoassociative memory system for unsupervised learning. This system is intended to be an example of how a general information processing architec...
Christopher Johansson, Anders Lansner