Training In Methods In Computational Neuroscience
Download Training In Methods In Computational Neuroscience PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Training In Methods In Computational Neuroscience book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Training in Methods in Computational Neuroscience
This four week course was offered for the second time at the Marine Biological Laboratory in Woods Hole, MA. Twenty students were selected from a pool of 52 highly qualified applicants. Students who were prepared in both computer science and neuroscience were selected because they could benefit immediately from the high level discussion without much additional training in either discipline. The course had two lectures per day plus a laboratory wherein students worked with GENESIS, the simulation software developed at Caltech. Once familiar with GENESIS, students undertook a simulation project. The reports of this project are attached. Keywords: Neurology courses education; Neurophysiology computer program; Teaching methods.
Methods and Models in Neurophysics
1. E. Marder, Experimenting with theory -- 2. A. Borysuk and J. Rinzel, Understanding neuronal dynamics by geometrical dissection of minimal models -- 3. D. Terman, Geometry singular perturbation analysis of neuronal dynamics -- 4. G. Mato, Theory of neural synchrony -- 5. M. Shelley, Some useful numerical techniques for simulating integrate-and-fire networks -- 6. D. Golomb, Propagation of pulses in cortical networks: the single-spike approximation -- 7. M. Tsodyks, Activity-dependent transmission in neocortical synapses -- 8. H. Sompolinsky and J. White, Theory of large recurrent networks: from spikes to behavior -- 9. C. van Vreeswijk, Irregular activity in large networks of neurons -- 10. N. Brunel, Network models of memory -- 11. P. Bressloff, Pattern formation in visual cortex -- 12. F. Wolf, Symmetry breaking and pattern selection in visual cortical development -- 13. A. Treves and Y. Roudi, On the evolution of the brain -- 14. E. Brown, Theory of point processes for neural syst ...
Theory and Method In The Neurosciences
Author: Peter Machamer
language: en
Publisher: University of Pittsburgh Pre
Release Date: 2017-03-15
Theory and Method in the Neurosciences surveys the nature and structure of theories in contemporary neuroscience, exploring many of its methodological techniques and problems. The essays in this volume from the Pittsburgh -Konstanz series explore basic questions about how to relate theories of neuroscience and cognition, the multilevel character of such theories, and their experimental bases. Philosophers and scientists (and some who are both) examine the topics of explanation and mechanisms, simulation and computation, imaging and animal models that raise questions about the forefront of research in cognitive neuroscience. Their work will stimulate new thinking in anyone interested in the mind or brain and in recent theories of their connections.