Variational information maximization for neural coding

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3316, Issue , 2004, Pages 543-548

  Agakov, Felix ^a   Barber, David ^b  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b IDIAP RESEARCH INSTITUTE   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

FISHER INFORMATION MATRIX;

BOUND OPTIMIZATION; CODING EFFICIENCY; FISHER INFORMATION; INFORMATION MAXIMIZATION; MUTUAL INFORMATIONS; NEURAL CODING; NEURAL MODELING; POPULATION CODING;

CODES (SYMBOLS);

EID: 35048892983     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30499-9_83     Document Type: Article

References (7)

1. Agakov, F. V. and Barber, D (2004). Variational Information Maximization and Fisher Information. Technical report, UoE.
2. Barber, D. and Agakov, F. V. (2003). The IM Algorithm: A Variational Approach to Information Maximization. In NIPS.
3. Barlow, H. (1989). Unsupervised Learning. Neural Computation, 1:295-311.
4. Bell, A. J. and Sejnowski, T. J. (1995). An information-maximization approach to blind separation and blind deconvolution. Neural Computation, 7(6):1129-1159.
5. Brunel, N. and Nadal, J.-P. (1998). Mutual Information, Fisher Information and Population Coding. Neural Computation, 10:1731-1757.
6. Cover, T. M. and Thomas, J. A. (1991). Elements of Information Theory. Wiley.
7. Linsker, R. (1989). An Application of the Principle of Maximum Information to Linear Systems. In NIPS.