KInNeSS, the KDE Integrated NeuroSimulation Software, has been developed by the Lab member Anatoli Gorchetchnikov. This neurosimulation software is unique in that it allows to tightly link sophisticated model development with behavior.
Making use of very detailed neurophysiological, anatomical, and behavioral data to build biologically realistic computational models of animal behavior is often a difficult task. Until recently, many software packages have tried to resolve this mismatched granularity with different approaches. This open source neural simulation software package provides an expandable framework incorporating features such as ease of use, scalability, an XML based schema, and multiple levels of granularity within a modern object oriented programming design. KInNeSS is best suited to simulate networks of hundreds to thousands of branched multi-compartmental neurons with biophysical properties such as membrane potential, voltage-gated and ligand-gated channels, the presence of gap junctions or ionic diffusion, neuromodulation channel gating, the mechanism for habituative or depressive synapses, axonal delays, and synaptic plasticity. KInNeSS outputs include compartment membrane voltage, spikes, local-field potentials, and current source densities, as well as visualization of the behavior of a simulated agent. Further development of KInNeSS is ongoing with the ultimate goal of creating a modular framework that will help researchers across different disciplines to effectively collaborate using a modern neural simulation platform.
Go to the KInNeSS site.
KInNeSS: A modular framework for computational neuroscience. Massimiliano Versace, Heather Ames, Jasmin Leveille, Bret Fortenberry, Himanshu Mhatre, and Anatoli Gorchetchnikov. Neuroinformatics, 2008 Winter;6(4):291-309. Download the PDF version.