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Multi-level Models

  • Péter Érdi
  • Tamás Kiss
  • Balázs Ujfalussy
Part of the Springer Series in Computational Neuroscience book series (NEUROSCI, volume 5)

Abstract

The brain is a prototype of a hierarchical system, as Fig. 1 shows. More precisely, it is hierarchical dynamical system. To specify a dynamical system, characteristic state variables and evolution equations governing the change of state should be defined. At the molecular level, the dynamic laws can be identified with chemical kinetics, at the channel level with biophysically detailed equations for the membrane potential, and at the synaptic and network levels with learning rules to describe the dynamics of synaptic modifiability (see Table 1).

Keywords

Place Cell Theta Rhythm Multiple Time Scale Dead Reckoning Theta Oscillation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Center for Complex Systems Studies, Kalamazoo CollegeKalamazooUSA
  2. 2.Department of BiophysicsKFKI Research Institute for Particle and Nuclear Physics of the Hungarian Academy of SciencesBudapestHungary
  3. 3.Department of BiophysicsKFKI Research Institute for Particle and Nuclear Physics of the Hungarian Academy of Sciences BudapestHungary

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