This is a list of notes and short articles.
Modelling simple neurons with PyMOOSE Jan. 7, 2011
MOOSE (Multiscale Object-oriented Simulation Environment) is a modelling framework for biological and neuronal networks, developed in Upinder Bhalla's lab at the NCBS in Bangalore. In terms of concepts and goals, it is a descendant of the GENESIS 2 simulator ...
Modelling single cells in NEURON with the Python interpreter Jan. 25, 2009
(updated for NEURON 7.0)
This is an introduction to using the Python interpreter to build simple single cell models with the NEURON simulator. I assume some familiarity with Python and with the standard NEURON interpreter, hoc.
Also see notes ...
Installation of NEURON with Python Jan. 22, 2009
These instructions are for NEURON v7.0. They may remain valid for future versions, and should also work for v6.1 or newer. These instructions are for Linux or Mac OS X, using the bash shell. They may well work ...
Accessing hoc from Python Jan. 22, 2009
When running NEURON with Python, the hoc interpreter is still available from within Python, and much of the functionality of NEURON is accessed through the hoc interpreter.
The hoc interpreter is accessible either through the execute() function in the neuron ...
Modelling STDP in the NEURON simulator Feb. 11, 2007
At the time of writing (or at least, last time I looked), the NEURON simulator does not have a built-in mechanism for spike-timing-dependent plasticity (STDP). There are many possible ways of implementing such a mechanism, using the NMODL language. This ...
