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Journal of Computational Neuroscience

, Volume 2, Issue 3, pp 175–193 | Cite as

Information flow and temporal coding in primate pattern vision

  • Joshua Heller
  • John A. Hertz
  • Troels W. Kjær
  • Barry J. RichmondEmail author
Article

Abstract

We perform time-resolved calculations of the information transmitted about visual patterns by neurons in primary visual and inferior temporal cortices. All measurable information is carried in an effective time-varying firing rate, obtained by averaging the neuronal response with a resolution no finer than about 25 ms in primary visual cortex and around twice that in inferior temporal cortex. We found no better way for a neuron receiving these messages to decode them than simply to count spikes for this long. Most of the information tends to be concentrated in one or, more often, two brief packets, one at the very beginning of the response and the other typically 100 ms later. The first packet is the most informative part of the message, but the second one generally contains new information. A small but significant part of the total information in the message accumulates gradually over the entire course of the response. These findings impose strong constraints on the codes used by these neurons.

Keywords

information flow spike timing neuronal codes 

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References

  1. Abeles M (1991) Corticonics. Cambridge University Press, Cambridge.Google Scholar
  2. Abeles M, Bergman H, Margalit E, Vaadia E (1993) Spatiotemporal firing patterns in the frontal cortex of behaving monkeys.J. Neurophysiol. 70:1629–1638.Google Scholar
  3. Ahmed N, Rao, KR (1975) Orthogonal transforms for digital signal processing, Springer-Verlag, Berlin.Google Scholar
  4. Bialek W, Rieke F, de Ruyter van Steveninck, RR, Warland D (1991) Reading a neural code.Science 252:1854–1857.Google Scholar
  5. Eckhorn R, Pöpel B (1974) Rigorous and extended Application of information theory to the afferent visual system of the cat. I. Basic concepts.Kybernetik 16:191–200.Google Scholar
  6. Eckhorn R, Pöpel B (1975) Rigorous and extended application of information theory to the afferent visual system of the cat. I. Experimental results.Biol. Cybernetics 17:7–17.Google Scholar
  7. Eskandar EN, Richmond BJ, Optican LM (1992) Role of inferior temporal neurons in visual memory. I. Temporal encoding of information about visual images, recalled images, and behavioral context.J. Neurophysiol. 68:1277–1295.Google Scholar
  8. Heller J (1994) Using neural networks to study information in the structure of neuronal responses in the primate visual system. Undergraduate thesis, Division of Applied Sciences, Harvard University.Google Scholar
  9. Heller J, Kjær TW, Hertz JA, Richmond BJ (1994) Dynamics of information transmission by single neurons in the visual system.Soc. Neuroscience Abst. 20:314.Google Scholar
  10. Hertz JA, Kjær TW, Eskandar EN, Richmond BJ (1992) Measuring natural neural processing with artificial neural networks.Int. J. Neural Systems 3(Supp):91–103.Google Scholar
  11. Kjær TW, Hertz JA, Richmond BJ (1994) Decoding cortical neuronal signals: Network models, information estimation and spatial tuning.J. Computational Neurosci. 1:109–139.Google Scholar
  12. Lestienne R (1994) Frequency insensitive measures of temporal correlations in spike trains. Extended Abstracts Book.Dynamics of Neural Processing 00:68–72.Google Scholar
  13. Miller EK, Li L, Desimone R (1993) Activity of neurons in anterior inferior temporal cortex during a short-term memory task.J. Neurosci. 13:1460–1478.Google Scholar
  14. Optican LM, Richmond BJ (1987) Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex III. Information theoretic analysis.J. Neurophysiol. 57:162–178.Google Scholar
  15. Richmond BJ, Optican LM, Podell M, Spitzer H (1987) Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex I. Response characteristics.J. Neurophysiol. 57:132–146.Google Scholar
  16. Richmond BJ, Optican LM (1987) Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex II. Quantification of response waveform.J. Neurophysiol. 57:147–161.Google Scholar
  17. Richmond BJ, Optican LM, Spitzer H (1990) Temporal encoding of two-dimensional patterns by single units in primate visual cortex I. Stimulus-response relations.J. Neurophysiol. 64:351–369.Google Scholar
  18. Richmond BJ, Optican LM (1990) Temporal encoding of two-dimensional patterns by single units in primate visual cortex II. Information transmission.J. Neurophysiol. 64:370–380.Google Scholar
  19. de Ruyter van Steveninck R, Bialek W (1988) Real-time performance of a movement-sensitive neuron in the blowfly visual system: coding and information transfer in short spike sequences.Proc. R. Soc. Lond. B. 234:379–414.Google Scholar
  20. Rumelhart DE, McClelland JL, PDP Research Group (1986) Parallel Distributed Processing. MIT Press, Cambridge, MA.Google Scholar
  21. Thorpe S, Imbert M (1989) Connectionism in Perspective, Elsevier Science Publishers B.V.Google Scholar
  22. Tovée MJ, Rolls ET, Treves A, Baylis RP (1993) Information encoding and the responses of single neurons in the primate temporal visual cortex.J. Neurophysiol. 70:640–654.Google Scholar

Copyright information

© Kluwer Academic Publishers 1995

Authors and Affiliations

  • Joshua Heller
    • 1
  • John A. Hertz
    • 2
  • Troels W. Kjær
    • 3
  • Barry J. Richmond
    • 3
    Email author
  1. 1.Division of Applied SciencesHarvard UniversityCambridge
  2. 2.CopenhagenDenmark
  3. 3.Laboratory of NeuropsychologyNational Institute of Mental HealthBethesda

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