Tantárgy adatlapja
Description of the subject:
•Introduction to neural modeling
•Biophysical foundations of neuronal modeling: membrane potential, cable equation
•Signal propagation in passive dendrites
•The Hodgkin-Huxley model of action potential generation
•Modeling synaptic inputs
•Simulation of model neurons using the Neuron software tool
•Rate-based network models: feedforward and recurrent networks
•Spiking network models
•Models of short-term and long-term memory
•Models of the hippocampus
Selected literature:
•Miller, P.: An Introductory Course in Computational Neuroscience. MIT Press, 2018. ISBN: 9780262038256
•Johnston, D., Wu, S. M-S.: Foundations of Cellular Neurophysiology. MIT Press.1994. ISBN: 9780262100533
•Gerstner, W., Kistler, W., Naud, R., & Paninski, L.: Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition. Cambridge: Cambridge University Press, 2014. ISBN: 1107635195
