SenseLab
Computational model
  Data
Parameter estimation for Hodgkin-Huxley based models of cortical neurons (Lepora et al. 2011)
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.
  • Neocortex L5/6 pyramidal GLU cell Show Other
  • Neocortex L2/3 pyramidal GLU cell Show Other
  • Neocortex fast spiking (FS) interneuron Show Other
  • Neocortex spiking regular (RS) neuron Show Other
  • Neocortex spiking low threshold (LTS) neuron Show Other
  • Neuron or other electrically excitable cell Show Other
  • Lepora NF, Overton PG, Gurney K (2012) Show Other
  • Lepora, Nathan [n.lepora at shef.ac.uk] Show Other
n.lepora@shef.ac.uk
Lepora, Nathan <n.lepora@shef.ac.uk>
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).
False
False
Other categories referring to Parameter estimation for Hodgkin-Huxley based models of cortical neurons (Lepora et al. 2011)
Revisions: 7
Last Time: 10/28/2011 11:36:55 PM
Reviewer: Tom Morse - MoldelDB admin
Owner: Tom Morse - MoldelDB admin