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Downloads
Note: this is copy of a download page
at John Horn's lab at the University of Pittsburgh, and below
that a note that Dr Horn sent recently to the connectionists mailing list.
The model (matlab program neurosim), a dynamical clamp program, papers, and documentation are all available.
| 1. |
Kullmann, PHM, DW Wheeler,
J Beacom and JP Horn (2004) Implementation of a fast 16-bit dynamic clamp
using LabVIEW-RT. Journal of Neurophysiology, 91: 542-554. PDF
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| 2. |
Kullmann,
PHM and JP Horn (2004) G-clamp program software, version 1.2. Zipfile
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| 3. |
Kullmann,
PHM and JP Horn (2004) G-clamp: User's Guide, version 1.2. PDF
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| 4. |
Kullmann, PHM and
JP Horn (2004) G-clamp: Programmer's Guide, version 1.2. PDF
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| 5. |
Wheeler, DW, Kullmann,
PHM and JP Horn (2004) Estimating use-dependent synaptic gain in autonomic
ganglia by computational simulation and dynamic-clamp analysis. Journal
of Neurophysiology 92: 2659-2671. PDF
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| 6. |
Wheeler,
DW and JP Horn (2004) Neurosim 1.2 program software. Zipfile
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| 7. |
Wheeler, DW and
JP Horn (2004) Neurosim 1.2 User's Guide. PDF
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Here is a note recently posted on the Connectionist mailing list by Dr John Horn
Dear Connectionists:
The dynamic clamp method lies at the interface between computational modeling and cellular electrophysiology.
We have recently implemented dynamic clamp methodology using the realtime LabVIEW software environment together with hardware that is sold by National instruments.
The system is called G-clamp and it allows for high performance 16-bit system dynamic clamp implementation of voltage-dependent conductances and templates of synaptic activity. We have written a second program called Neurosim. Neurosim is a MATLAB program that implements a conductance-based model sympathetic neuron and can also can create synaptic template files for driving G-clamp.
G-clamp and Neurosim software, together with manuals describing their installation, operation and modification can now be downloaded from http://hornlab.neurobio.pitt.edu/
In designing G-clamp, we tried to make it flexible, while also easy to learn and use.
Our website also contains links to two papers:
Kullmann et al. (2004) explains the design and performance of the G-clamp system.
Wheeler et al. (2004) shows how the method can be used to implement patterns of virtual synaptic activity and assess the synaptic gain that arises from anatomical convergence of excitatory synapses.
John P. Horn, Ph.D.
Professor, Department of Neurobiology
University of Pittsburgh School of Medicine
Pittsburgh, PA 15261
Voice: 412-648-9429 Fax: 412-648-1441
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