4.6 Article

A generic framework for real-time multi-channel neuronal signal analysis, telemetry control, and sub-millisecond latency feedback generation

期刊

FRONTIERS IN NEUROSCIENCE
卷 4, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fnins.2010.00173

关键词

real-time; feedback; closed-loop; multi-electrode array; human-machine interface

资金

  1. Max-Planck Society Minerva Foundation
  2. Bohringer-Ingelheim Foundation
  3. MFG Baden-Wurttemberg Foundation
  4. German Research Foundation Collaborative Research Centre [SFB550]
  5. Israel Science Foundation
  6. Technion Lokey Center
  7. Etai Sharon Rambam Atidim Program for Excellence in Research

向作者/读者索取更多资源

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 setup 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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