Source:http://linkedlifedata.com/resource/pubmed/id/21060803
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rdf:type | |
lifeskim:mentions | |
pubmed:dateCreated |
2010-11-9
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pubmed:abstractText |
Distinct modules of the neural circuitry interact with each other and (through the motor-sensory loop) with the environment, forming a complex dynamic system. Neuro-prosthetic devices seeking to modulate or restore CNS function need to interact with the information flow at the level of neural modules electrically, bi-directionally and in real-time. A set of freely available generic tools is presented that allow computationally demanding multi-channel short-latency bi-directional interactions to be realized in in vivo and in vitro preparations using standard PC data acquisition and processing hardware and software (Mathworks Matlab and Simulink). A commercially available 60-channel extracellular multi-electrode recording and stimulation set-up connected to an ex vivo developing cortical neuronal culture is used as a model system to validate the method. We demonstrate how complex high-bandwidth (>10 MBit/s) 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.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:status |
PubMed-not-MEDLINE
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pubmed:issn |
1662-453X
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pubmed:author | |
pubmed:issnType |
Electronic
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pubmed:volume |
4
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
173
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pubmed:year |
2010
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pubmed:articleTitle |
A generic framework for real-time multi-channel neuronal signal analysis, telemetry control, and sub-millisecond latency feedback generation.
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pubmed:affiliation |
Network Biology Research Laboratories, Technion - Israel Institute of Technology Haifa, Israel.
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pubmed:publicationType |
Journal Article
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