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dc.contributor.authorVersace, Massimilianoen_US
dc.contributor.authorAmes, Heatheren_US
dc.contributor.authorLéveillé, Jasminen_US
dc.contributor.authorFortenberry, Breten_US
dc.contributor.authorGorchetchnikov, Anatolien_US
dc.date.accessioned2011-11-14T18:17:08Z
dc.date.available2011-11-14T18:17:08Z
dc.date.issued2007-12en_US
dc.identifier.urihttps://hdl.handle.net/2144/1963
dc.description.abstractMaking 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 paper presents KInNeSS, the KDE Integrated NeuroSimulation Software environment, as an alternative solution to bridge the gap between data and model behavior. 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. An explanation of the modeling philosophy and plug-in development is also presented. 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.en_US
dc.description.sponsorshipCenter of Excellence for Learning in Education, Science and Technology (SBE-0354378); National Science Foundation (SBE-0354378); Office of Naval Research (N00014-01-1-0624)en_US
dc.language.isoen_USen_US
dc.publisherBoston University Center for Adaptive Systems and Department of Cognitive and Neural Systemsen_US
dc.relation.ispartofseriesBU CAS/CNS Technical Reports;CAS/CNS-TR-2007-025en_US
dc.rightsCopyright 2007 Boston University. Permission to copy without fee all or part of this material is granted provided that: 1. The copies are not made or distributed for direct commercial advantage; 2. the report title, author, document number, and release date appear, and notice is given that copying is by permission of BOSTON UNIVERSITY TRUSTEES. To copy otherwise, or to republish, requires a fee and / or special permission.en_US
dc.subjectBehavioral modelingen_US
dc.subjectCompartmental modelingen_US
dc.subjectObject oriented designen_US
dc.subjectSpiking neuronsen_US
dc.subjectSoftware frameworken_US
dc.titleKInNeSS: A Modular Framework for Computational Neuroscienceen_US
dc.typeTechnical Reporten_US
dc.rights.holderBoston University Trusteesen_US


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