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Computational Neuroscience
book

Computational Neuroscience

by Diana Ivanova Stephanova, Bozhidar Dimitrov Kolev
January 2013
Intermediate to advanced content levelIntermediate to advanced
148 pages
4h 22m
English
CRC Press
Content preview from Computational Neuroscience
88 Computational Neuroscience: Simulated Demyelinating Neuropathies and Neuronopathies
that the excitability changes of the normal and abnormal axons
are considerably different. The ALS1 axon has less refractoriness,
greater superexcitability and late subexcitability than the normal
one. For the ALS2 case, the superexcitability increases markedly
Fig. 31. Comparison between the recovery cycles in the normal (dotted lines), mild
ISD, PSD, PISD (a), severe IFD, PFD, PIFD (b), ALS1, ALS2, and ALS3 (c) cases of
human motor nerve fi bres. For all cases, the y-axis is defi ned as 100 x (I
test
–I
cond
)/
I
cond
(%), where I
test
(nA) and I
cond
(nA) are the ...
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Publisher Resources

ISBN: 9781466578326