Neural population structures and consequences for neural coding

Journal of Computational Neuroscience

Volumn 16, Issue 1, 2004, Pages 69-80

  Johnson, Don H ^a  

^a RICE UNIVERSITY   (United States)

Author keywords

Information theory; Neural coding; Neural populations

Indexed keywords

CODES (SYMBOLS); NEURAL NETWORKS; POPULATION STATISTICS;

CODING SCHEME; LATERAL CONNECTIONS; NEURAL CODING; NEURAL POPULATIONS; NEW THEORY; POPULATION CONSEQUENCES; POPULATION SIZES; POPULATION STRUCTURES; PROCESSING PROPERTIES; SIMPLE++;

NEURONS;

ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; CELL POPULATION; CLASSIFICATION; CODING; COMPARATIVE STUDY; COMPUTER SIMULATION; CONTROLLED STUDY; COOPERATION; CORRELATION FUNCTION; INFORMATION PROCESSING; MATHEMATICAL ANALYSIS; NERVE CELL; NERVE FUNCTION; PHYSIOLOGY; PRIORITY JOURNAL; STIMULUS; THEORY;

EID: 0842330864     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:JCNS.0000004842.04535.7c     Document Type: Article

References (23)

1. Abbott L, Dayan P (1999) The effect of correlated variability on the accuracy of a population code. Neural Comput. 11: 91-101.
2. Alonso J-M, Usrey W, Reid R (1996) Precisely correlated firing in cells of the lateral geniculate nucleus. Nature 383: 815-818.
3. Berger T (1971) Rate Distortion Theory. Prentice-Hall, Englewood Cliffs, NJ.
4. Bezzi M, Diamond M, Treves A (2001) Redundancy and synergy arising from correlations in large ensembles. arXiv:cond-mat 0012119.
5. Cover T, Thomas J (1991) Elements of Information Theory. Wiley, New York.
6. DeCharms R, Merzenich M (1996) Primary cortical representation of sounds by the coordination of action-potential timing. Nature 381: 610-613.
7. Johnson D (2002) For top reasons why mutual information does not quantify neural information processing. In Computational Neuroscience'02, Chicago, IL.
8. Johnson D, Gruner C, Baggerly K, Seshagiri C (2001) Information-theoretic analysis of neural coding. J. Comp. Neurosci. 10: 47-69.
9. Johnson D, Gruner C, Glantz R (2000) Quantifying information transfer in spike generation. Neurocomputing 33: 1047-1054.
10. Johnson D, Ray W (2004) Optimal stimulus coding by neural populations using rate codes. J. Comp. Neurosci., to appear.
11. Kang K, Sompolinksy H (2001) Mutual information of population codes and distance measures in probability space. Phys. Rev. Letters 86: 4958-4961.
12. Kilgard M, Merzenich M (1999) Distributed representation of spectral and temporal information in rat primary auditory cortex. Hearing Res. 134: 16-28.
13. Kolmogorov A (1956) On the Shannon theory of information transmission in the case of continuous signals. IRE Trans. Info. Th. 3: 102-108.
14. Nirenberg S, Carcieri S, Jacobs A, Latham P (2001) Retinal ganglion cells act largely as independent encoders. Nature 411: 698-701.
15. Reich D, Mechler F, Victor J (2001) Independent and redundant information in nearby cortical neurons. Science 294: 2566-2568.
16. Rozell C, Johnson D, Glantz R (2002) Information processing during transient responses in the crayfish visual system. In Computational Neuroscience'02 Chicago, IL.
17. Shamir M, Sompolinsky H (2001) Correlation codes in neuronal populations. In T. Dietterich, S. Becker, and Z. Ghahramani, eds., Advances in Neural Information Processing Systems. MIT Press, Cambridge, MA, Vol. 14, pp. 277-284.
18. Shannon C (1948) A mathematical theory of communication. Bell System Tech. J. 379-423, 623-656.
19. Sinanović S, Johnson D (2004) Toward a theory of information processing, in preparation.
20. Strong S, Koberle R, de Ruyter van Steveninck R, Bialek W (1998) Entropy and information in neural spike trains. Phys. Rev. Letters 80: 197-200.
21. Tishby N, Pereira F, Bialek W (1999) The information bottleneck method. In Proc. 37th Allerton Conference on Communication, Control and Computing, pp. 368-377.
22. Warland D, Reinagel P, Meister M (1997) Decoding visual information from a population of retinal ganglion cells. J. Neurophysiol. 78: 2336-2350.
23. Wilke S, Eurich C (2002) Representational accuracy of stochastic neural populations. Neural Comput. 14: 155-189.