Abstract
Orchestrating the activity of cell populations for physiological functioning of the brain, organs, and musculature depends on transmission of signals, learning and memory devices, and feedback control systems. By what biophysical mechanisms do cells communicate in order to coordinate their activity as local ensembles, as multimodal circuits, and across system levels? Here we only scratch the surface of this fascinating topic. We will focus on electrically active cells; for this, you can have in mind, for example, cardiac cells, many types of secretory cells, and neurons.
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Suggestions for Further Reading
Spikes, Fred Rieke, David Warland, Rob de Ruyter van Steveninck, and William Bialek. This influential book treats neuronal communication from a highly information-theoretic point of view (Rieke et al. 1997).
Neural networks as spatio-temporal pattern-forming systems, Bard Ermentrout. This paper reviews pattern formation in neural networks, including the continuous networks discussed in this chapter (Ermentrout 1998).
Mathematical Physiology, James Keener and James Sneyd. Keener and Sneyd treat some of the cellular level topics presented in this chapter, as well as many other topics in systems level physiology, from a more analytic perspective as opposed to the computational focus presented here (Keener and Sneyd 1998).
Methods in Neuronal Modeling, Christof Koch and Idan Segev, editors. This is a compilation of chapters from various authors on a wide variety of topics related to neuronal modeling, both at the cell and at the network level (Koch and Segev 1998).
Foundations of Cellular Neurophysiology, Daniel Johnston and Samuel Wu. Covers in more depth topics such as transmitter release, plasticity, elementary networks and extracellular electrical behavior (Johnston and Wu 1995).
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems, Peter Dayan and Larry Abbott. This book addresses neural coding issues with several different types of models (Dayan and Abbott 2001).
Biophysics of Computation, Christof Koch. This book covers many aspects of cell-based neurophysiology from a modeling perspective (Koch 1999).
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© 2002 Springer-Verlag New York, Inc.
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Rinzel, J. (2002). Intercellular Communication. In: Fall, C.P., Marland, E.S., Wagner, J.M., Tyson, J.J. (eds) Computational Cell Biology. Interdisciplinary Applied Mathematics, vol 20. Springer, New York, NY. https://doi.org/10.1007/978-0-387-22459-6_6
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DOI: https://doi.org/10.1007/978-0-387-22459-6_6
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-95369-4
Online ISBN: 978-0-387-22459-6
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