ModelDB: Generic Bi-directional Real-time Neural Interface (Zrenner et al. 2010)

Generic Bi-directional Real-time Neural Interface (Zrenner et al. 2010)

Accession: 128068

Matlab/Simulink toolkit for generic multi-channel short-latency bi-directional neural-computer interactions. High-bandwidth (> 10 megabit per second) neural recording data can be analyzed in real-time while simultaneously generating specific complex electrical stimulation feedback with deterministically timed responses at sub-millisecond resolution. The commercially available 60-channel extracellular multi-electrode recording and stimulation set-up (Multichannelsystems GmbH MEA60) is used as an example hardware implementation.
Reference: Zrenner CD, Eytan D, Wallach A, Thier HP, Marom S (2010) A generic framework for real-time multi-channel neuronal signal analysis, telemetry control and sub-millisecond latency feedback generation Frontiers in Neuroprosthetics

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Model Information (Click on a link to find other models with that property)

Model Type:
Brain Region(s)/Organism:
Cell Type(s):	Dissociated cultured nerve cell network taken from rat cortex;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:	C or C++ program; MATLAB; Simulink;
Model Concept(s):	Methods;
Implementer(s):	Zrenner, Christoph [christoph.zrenner at gmail.com];

Model files

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This the readme for the model associated with the paper:

Zrenner CD, Eytan D, Wallach A, Thier HP, Marom S (2010) 
A generic framework for real-time multi-channel neuronal 
signal analysis, telemetry control and sub-millisecond 
latency feedback generation.
Front. Neurosci. doi: 10.3389/fnins.2010.00173

These files were supplied by Christoph Zrenner.

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