Models that contain the Modeling Application : Octave (Home Page)

(GNU Octave is a high-level language, primarily intended for numerical computations. It provides a convenient command line interface for solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with Matlab. It may also be used as a batch-oriented language.)
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    Models   Description
1.  Channel parameter estimation from current clamp and neuronal properties (Toth, Crunelli 2001)
In this paper, we present a method by which the activation and kinetic properties of INa, IK can be estimated from current-clamp data, more precisely from the time course of the action potential, provided some additional electrophysiological properties of the neurone are a priori known. See reference for details and more.
2.  Reconstructing cerebellar granule layer evoked LFP using convolution (ReConv) (Diwakar et al. 2011)
The model allows reconstruction of evoked local field potentials as seen in the cerebellar granular layer. The approach uses a detailed model of cerebellar granule neuron to generate data traces and then uses a "ReConv" or jittered repetitive convolution technique to reproduce post-synaptic local field potentials in the granular layer. The algorithm was used to generate both in vitro and in vivo evoked LFP and reflected the changes seen during LTP and LTD, when such changes were induced in the underlying neurons by modulating release probability of synapses and sodium channel regulated intrinsic excitability of the cells.

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