Maximization of mutual information in a linear noisy network: a detailed study
- 1 August 1995
- journal article
- Published by Taylor & Francis in Network: Computation in Neural Systems
- Vol. 6 (3) , 449-468
- https://doi.org/10.1088/0954-898x/6/3/010
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- NEURAL NETWORKS AS OPTIMAL INFORMATION PROCESSORSInternational Journal of Modern Physics C, 1994
- Nonlinear neurons in the low-noise limit: a factorial code maximizes information transferNetwork: Computation in Neural Systems, 1994
- Designing receptive fields for highest fidelityNetwork: Computation in Neural Systems, 1994
- Theoretical predictions of spatiotemporal receptive fields of fly LMCs, and experimental validationJournal of Comparative Physiology A, 1992
- Could information theory provide an ecological theory of sensory processing?Network: Computation in Neural Systems, 1992
- Unsupervised LearningNeural Computation, 1989
- Optimal unsupervised learning in a single-layer linear feedforward neural networkNeural Networks, 1989
- NEURAL NETWORKS, PRINCIPAL COMPONENTS, AND SUBSPACESInternational Journal of Neural Systems, 1989
- Self-organization in a perceptual networkComputer, 1988
- Simplified neuron model as a principal component analyzerJournal of Mathematical Biology, 1982