Abstract
The use of numerical simulation techniques to study neurobiology has grown over the past few years to encompass systems ranging from molecular level processes occurring in real neurons to systems of many thousands of highly abstract neuron-like elements (Touretzky, 1990 Koch and Segev, 1989; Zornetzer et al 1990). It is increasingly apparent that all these levels of analysis are interrelated and may be essential to the understanding of the functioning of the nervous system (Bower, 1991)
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References
Touretzky, D. S. 1990 Advances in neural information processing systems. Morgan Kaufman.
Koch, C. and Segev, I. 1989 Methods in Neuronal Modeling. MIT Press.
Zometzer, S. F., Davis, J. L., and Lau, C. 1990 An Introduction to Neural and Electronic Networks. Academic Press.
Bower, J. M. 1991 Piriform cortex and olfactory object recognition. In: J. Davis and H. Eichenbaum (Eds.) Olfaction as a Model System for Computational Neuroscience. MIT Press, Cambridge, MA. (in press).
Beeman, D. and Bower, J. M. 1991 Soc Neurosci Abstr.
Hines, M. 1984 Efficient computation of branched nerve equations. Int J. Bio-Med. Comp. 15:69–76.
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© 1993 Springer Science+Business Media New York
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Bhalla, U.S., Bower, J.M. (1993). Genesis: a neuronal simulation system. In: Eeckman, F.H. (eds) Neural Systems: Analysis and Modeling. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-3560-7_7
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DOI: https://doi.org/10.1007/978-1-4615-3560-7_7
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