<--- Back to Details
First PageDocument Content
Computational neuroscience / Neuroscience / Nervous system / Artificial neural networks / Statistics / Multivariate statistics / Biophysics / Biological neuron model / Principal component analysis / Artificial neuron / Spike-timing-dependent plasticity / Hebbian theory
Date: 2014-10-13 19:51:13
Computational neuroscience
Neuroscience
Nervous system
Artificial neural networks
Statistics
Multivariate statistics
Biophysics
Biological neuron model
Principal component analysis
Artificial neuron
Spike-timing-dependent plasticity
Hebbian theory

Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons Lars Buesing, Wolfgang Maass Institute for Theoretical Computer Science

Add to Reading List

Source URL: www.gatsby.ucl.ac.uk

Download Document from Source Website

File Size: 385,45 KB

Share Document on Facebook

Similar Documents

Principal Component Analysis on non-Gaussian Dependent Data  Fang Han Johns Hopkins University, 615 N.Wolfe Street, Baltimore, MDUSA Han Liu Princeton University, 98 Charlton Street, Princeton, NJUSA

Principal Component Analysis on non-Gaussian Dependent Data Fang Han Johns Hopkins University, 615 N.Wolfe Street, Baltimore, MDUSA Han Liu Princeton University, 98 Charlton Street, Princeton, NJUSA

DocID: 1vdC9 - View Document

Generalized Principal Component Analysis (GPCA)∗ Ren´e Vidal† Yi Ma‡ Shankar Sastry† † Department of EECS, University of California, Berkeley, CA 94720

Generalized Principal Component Analysis (GPCA)∗ Ren´e Vidal† Yi Ma‡ Shankar Sastry† † Department of EECS, University of California, Berkeley, CA 94720

DocID: 1uYRE - View Document

A. Krisciukaitis et al.: Efficiency Evaluation of Autonomic Heart Control by Using the Principal Component Analysis of ECG P-Wave, en 9 en9  Efficiency Evaluation of Autonomic Heart Control by Using

A. Krisciukaitis et al.: Efficiency Evaluation of Autonomic Heart Control by Using the Principal Component Analysis of ECG P-Wave, en 9 en9 Efficiency Evaluation of Autonomic Heart Control by Using

DocID: 1tOkO - View Document

Full Regularization Path for Sparse Principal Component Analysis Alexandre d’Aspremont, Francis Bach & Laurent El Ghaoui, Princeton University, INRIA/ENS Ulm & U.C. Berkeley  Support from NSF, DHS and Google.

Full Regularization Path for Sparse Principal Component Analysis Alexandre d’Aspremont, Francis Bach & Laurent El Ghaoui, Princeton University, INRIA/ENS Ulm & U.C. Berkeley Support from NSF, DHS and Google.

DocID: 1tMMK - View Document

Binary Principal Component Analysis in the Netflix Collaborative Filtering Task

Binary Principal Component Analysis in the Netflix Collaborative Filtering Task

DocID: 1tMJC - View Document