Abstract
A formal approach for deciphering the information contained within nerve cell ensemble activity patterns is presented. Approximations of each nerve cell’s coding scheme is derived by quantizing its neural responses into a small reproduction set, and minimizing an information-based distortion function. During an experiment, the sensory stimulus world presented to the animal is modified to contain a richer set of relevant features, as those features are discovered. A dictionary of equivalence classes is derived, in which classes of stimulus features correspond to classes of spike-pattern code words. We have tested the approach on a simple insect sensory system.
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Bishop, C.M.: Neural Networks for Pattern Recognition. Oxford University Press, New York, New York (1998)
Clague, H., Theunissen, F., Miller, J.P.: The effects of adaptation on neural coding by primary sensor intemeurons in the cricket cereal system. J. Neurophysiol. 77 (1997) 207–220
Dimitrov, A.G., Miller, J.P.: Neural coding and decoding: communication channels and quantization. Network: Computation in Neural Systems 12 (2001) 441–472
Dimitrov, A.G., Miller, J.P., Aldworth, Z., Parker, A.: Spike pattern-based coding schemes in the cricket cereal sensory system. Neurocomputing 44–46 (2002) 373–379
Dimitrov, A.G., Miller, J.P., Gedeon, T., Aldworth, Z., Parker, A.E.: Analysis of Neural Coding using Quantization with an information-based distortion measure. Network: Computation in Neural Systems 14 (2003) 151–176
Gnatzy, H., Heusslein, W.: Digger wasp against crickets. I. receptors involved in the antipredator strategies of the prey. Naturwissenschaften 73 (1986) 212–215
Heinzel, H.G., Dambach, M.: Traveling air vortex rings as potential communication signals in a cricket. J. Comp. Physiol. A. 160 (1987) 79–88
Kamper, G., Kleindienst, H.-U.: Oscillation of cricket sensory hairs in a low frequency sound field. J. Comp. Physiol. A. 167 (1990)193–200
Landolfa, M.A., Jacobs, G.A.: Direction sensitivity of the filiform hair population of the cricket cereal system. J. Comp. Physiol. A 177 (1995)758–767
Landolfa, M.A., Miller, J. P.: Stimulus-response properties of cricket cereal filiform hair receptors. J. Comp. Physiol. A. 177 (1995) 749–757
Miller, J.P., Jacobs, G.A., Theunissen, F.E.: Representation of sensory information in the cricket cereal sensory system. I. Response properties of the primary interneurons. J. Neurophysiol. 66 (1991) 1680–1689
Osborne, L.C.: Biomechanical Properties Underlying Sensory Processing in Mechanosensory Hairs in the Cricket Cereal Sensory System. PhD thesis, University of California, Berkeley, CA. (1997)
Roddey, J.C., Girish, B., Miller, J.P.: Assessing the performance of neural encoding models in the presence of noise. J. Comp. Neurosci. 8 (2000) 95–112
Roddey, J.C., Jacobs, G.A.: Information theoretic analysis of dynamical encoding by filiform mechanoreceptors in the cricket cereal system. J. Neurophysiol. 75 (1996) 1365–1376
Shimozawa, T., Kanou, M.: The aerodynamics and sensory physiology of a range fractionation in the cereal filiform sensilla of the cricket gryllus bimaculatus. J. Comp. Physiol. A. 155 (1984a) 495–505
Shimozawa, T., Kanou, M.: Varieties of filiform hairs: range fractionation by sensory afferents and cercal interneurons of a cricket. J. Comp. Physiol. A. 155 (1984b) 485–493
Stout, J.F., DeHaan, C.H., McGhee, R.W.: Attractiveness of the male acheta domesticus calling song to females. I. Dependence on each of the calling song features. J. Comp. Physiol. 153(1983)509–521
Theunissen, F.E., Miller, J.P.: Representation of sensory information in the cricket cercal sensory system. II. Information theoretic calculation of system accuracy and optimal tuning curve width of four primary interneurons. J. Neurophysiol. 66 (1991)1690–1703
Theunissen, F., Roddey, J.C., Stufflebeam, S., Clague, H., Miller, J.P.: Information theoretic analysis of dynamical encoding by four primary interneurons in the cricket cercal system. J. Neurophysiol. 75 (1996)1345–1364
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Dimitrov, A.G. et al. (2003). Derivation of Natural Stimulus Feature Set Using a Data-Driven Model. In: Sloot, P.M.A., Abramson, D., Bogdanov, A.V., Gorbachev, Y.E., Dongarra, J.J., Zomaya, A.Y. (eds) Computational Science — ICCS 2003. ICCS 2003. Lecture Notes in Computer Science, vol 2660. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44864-0_35
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DOI: https://doi.org/10.1007/3-540-44864-0_35
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