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Data
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Parameter estimation for Hodgkin-Huxley based models of cortical neurons (Lepora et al. 2011)
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Simulation and fitting of two-compartment (active soma, passive dendrite)
for different classes of cortical neurons. The fitting technique
indirectly matches neuronal currents derived from somatic membrane
potential data rather than fitting the voltage traces directly.
The method uses an analytic solution for the somatic ion channel
maximal conductances given approximate models of the channel kinetics,
membrane dynamics and dendrite. This approach is tested on model-derived
data for various cortical neurons.
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Neocortex fast spiking (FS) interneuron Show
Other
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Neocortex spiking regular (RS) neuron Show
Other
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Neocortex spiking low threshold (LTS) neuron Show
Other
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Neuron or other electrically excitable cell Show
Other
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Lepora NF, Overton PG, Gurney K (2012) Show
Other
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Lepora, Nathan [n.lepora at shef.ac.uk] Show
Other
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n.lepora@shef.ac.uk
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Lepora, Nathan <n.lepora@shef.ac.uk>
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Nathan F. Lepora, Paul G. Overton and K. Gurney. Efficient fitting of conductance-based model neurons from somatic current clamp. J. Comp Neuro (In press).
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