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PDF: Computational Systems Neurobiology
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Short Desciption: Why computer simulations in Biology. ?. Complexity of biological systems. ?.
Structural complexity: molecular and cellular levels ...
Content Inside: Computational Systems Neurobiology
Nicolas Le Novère, EMBL-EBI
Why computer simulations in Biology
·
Complexity of biological systems
Structural complexity: molecular and cellular levels Functional complexity: network of relations, non-boolean relations
·
Limitations of analytical approaches
Intractable system of equations Existence of chaotic behaviours Experiments often provides snapshots of processes
·
Faster and cheaper computers Computing can complement experimental investigations by:
·
Storage, retrieval and analysis of data Making predictions about future experiments
Experiment
Design of new hypothesis/experiments
Virtual experiments, not feasible in reality
Analysis of results Model refinement
Simulation in Neurobiology
·
Hodgkin and Huxley
"A Quantitative Description of Membrane Current and its Application to Conduction and Excitation in Nerve". J Physiol 1952, 117: 500-544
·
Rall
"Branching dendritic trees and motoneuron membrane resistivity". Exp Neurol 1959, 1: 491-527
·
[NEURON] Hines
"A program for simulation of nerve equations with branching geometries". Int J Biomed Comput 1989, 24:55-68
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[GENESIS] Wilson, Bhalla, Uhley, Bower
"GENESIS : A system for simulating neural networks." Advances in neural information processing systems. Touretzky, D. ed, 1989, pp. 485-492
·
Land, Salpeter, Salpeter
"Kinetic
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