Abstract
The study of information processing in the sensory nervous system may be viewed as an investigation of images. Let us consider, for instance, the auditory nervous system. Throughout the auditory system, starting at the hair cells in the cochlea and the auditory nerve fibres, through the various stages of the auditory processor, composed of the numerous individual neurons with their different patterns of interconnections, we have what might be called “the neural image of sound” in its different realizations. The external world is paralleled by an internal representation (e.g., Craik 1943, McCulloch 1965). The acoustic environment of an animal, consisting of patterns of air pressure variations at the external ears, is represented and transformed internally by a network of neurons which communicate by complex spatio-temporal patterns of action potentials, the all-or-none events generated by the individual neurons.
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References
Aertsen AMHJ, Gerstein GL (1985) Evaluation of neuronal connectivity: sensitivity of cross-correlation. Brain Res 340:341–354
Bloom M, Gerstein G (1984) Multineuron analysis shows spatial tuning not found in single unit responses. Soc Neurosci Abstr 10:245
Boogaard HFP van den, Hesselmans GHFM, Johannesma PIM (1985a) Transformation of point processes, correlation functions and system identification. Submitted
Boogaard HFP van den (1985b) Neural interaction equations: Transformation of point processes. Ph.D. Thesis, University of Nijmegen, Nijmegen, The Netherlands
Braitenberg V (1977) Cell assemblies in the cerebral cortex. In: Heim R, Palm G (eds) Theoretical approaches to complex systems. Lecture notes in biomathematics, vol 21. Springer, Berlin Heidelberg New York, pp 171–188
Craik K (1943) The nature of explanation. Cambridge Univ Press, Cambridge
Eggermont JJ, Epping WJM, Aertsen AMHJ (1983a) Stimulus dependent neural correlations in the auditory midbrain of the grassfog (Rana temporaria L.). Biol Cybernet 47:103–117
Eggermont JJ, Johannesma PIM, Aertsen AMHJ (1983b) Reverse-correlation methods in auditory research. Q Rev Biophys 16:341–414
Espinosa I, Gerstein G (1984) Correlation among spike trains in cat’s auditory cortex during presentation of three-tone sequences. Soc Neurosci Abstr 10:245
Evans EF (1974) Neural processes for the detection of acoustic patterns and for sound localization. In: Schmidt FO, Worden FG (eds) The neurosciences; 3rd Study Program, MIT Press, Cambridge, pp 131–145
Frostig RD, Gottlieb Y, Vaadia E, Abeles M (1983) The effects of stimuli on the activity and functional connectivity of local neuronal groups in the cat auditory cortex. Brain Res 272:211–221
Fukunaga K (1972) Introduction to statistical pattern recognition. Academic Press, London New York
Gerstein GL (1970) Functional association of neurons: detection and interpretation. In: Schmitt FO (ed) The neurosciences: 2nd Study Program. Rockefeller Univ Press, New York, pp 648–661
Gerstein GL, Perkel DH (1972) Mutual temporal relationships among neuronal spike trains. Biophys J 12:453–473
Gerstein GL, Bloom MJ, Espinosa IE, Evanczuk S, Turner MR (1983) Design of a laboratory for multineuron studies. IEEE Trans Syst Man Cybern SMC-13:668–676
Gerstein GL, Perkel DH, Dayhoff JE (1985) Cooperative firing activity in simultaneously recorded populations of neurons: detection and measurement. J Neurosci 5:881–889
Gerstein GL, Aertsen AMHJ (1985) Representation of cooperative firing activity among simultaneously recorded neurons. J Neurophysiol (in press)
Grinvald A (1984) Real-time optical imaging of neuronal activity. Trends Neurosci 7:143–150
Hebb DO (1949) The organization of behavior. A neuropsychological theory. Wiley, New York; Chapman and Hall, London
Johannesma PIM, Eggermont JJ (1983) Receptive fields of auditory neurons in the frog’s midbrain as functional elements for acoustic communication. In: Ewert JP, Capranica RR, Ingle DJ (eds) Advances in vertebrate neuroethology. Plenum Press, New York London, pp 901–910
Johannesma PIM, Boogaard HFP van den (1985) Stochastic formulation of neural interaction. Acta Math Appl 4:201–224
Marmarelis PZ, Marmarelis VZ (1978) Analysis of physiological systems. The white-noise approach. Plenum Press, New York London
McCulloch WS (1965) Embodiments of mind. MIT Press, Cambridge
Palm G (1982) Neural assemblies, an alternative approach to artificial intelligence. Studies of brain function, vol VII. Springer, Berlin Heidelberg New York
Perkel DH, Gerstein GL, Moore GP (1967) Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains. Biophys J 7:419–440
Perkel DH, Gerstein GL, Smith MS, Tatton WG (1975) Nerve-impulse patterns: a quantitative display technique for three neurons. Brain Res 100:271–296
Poggio T, Torre V (1981) A theory of synaptic interaction. In: Reichardt W, Poggio T (eds) Theoretical approaches in neurobiology. MIT Press, Cambridge, pp 28–38
Shepherd GM (1974) The synaptic organization of the brain. Oxford Univ Press, New York
Wright WE (1977) Gravitational clustering. Pattern Recognition 9:151–166
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© 1986 Springer-Verlag Berlin Heidelberg
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Aertsen, A., Gerstein, G., Johannesma, P. (1986). From Neuron to Assembly: Neuronal Organization and Stimulus Representation. In: Palm, G., Aertsen, A. (eds) Brain Theory. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-70911-1_3
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DOI: https://doi.org/10.1007/978-3-642-70911-1_3
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