We present an algorithm for automated discovery of stochastic firing patterns in large ensembles of neurons. The algorithm, from the "Helmholtz Machine" family, ...
One of the current challenges to understanding neural information processing in biological systems is to decipher the "code" carried.
This work presents an algorithm for automated discovery of stochastic firing patterns in large ensembles of neurons, from the "Helmholtz Machine" family, ...
Feb 6, 2015 · The algorithm, from the "Helmholtz Machine" family, attempts to predict the observed spike patterns in the data. The model consists of an ...
Using Helmholtz machines to analyze multi-channel neuronal recordings · Contents. NIPS '97: Proceedings of the 1997 conference on Advances in neural information ...
Virginia R. de Sa, R. Christopher DeCharms, Michael Merzenich: Using Helmholtz Machines to Analyze Multi-channel Neuronal Recordings. NIPS 1997: 131-137.
This paper aims to unify the two fields of probabilistic inference and synaptic plasticity by using a neuronal network of realistic model spiking neurons to ...
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We present an approach for text analysis, especially for topic words extraction and document classification, based on a probabilistic generative model.
Using Helmholtz Machines to analyze multi-channel neuronal recordings. In M.I. Jordan, M.J. Kearns & S.A. Solla (Eds.), Advances in Neural Information ...
Apr 25, 2024 · Using Helmholtz Machines to Analyze Multi-channel Neuronal Recordings. NIPS 1997: 131-137; 1990. [j1]. view. electronic edition via DOI ...