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

被引:25
|
作者
Zrenner, Christoph [1 ,2 ]
Eytan, Danny [1 ,3 ]
Wallach, Avner [1 ]
Thier, Peter [2 ]
Marom, Shimon [1 ]
机构
[1] Technion Israel Inst Technol, Network Biol Res Labs, Haifa, Israel
[2] Univ Tubingen, Hertie Inst Clin Brain Res, Dept Cognit Neurol, Tubingen, Germany
[3] Meyer Childrens Hosp, Rambam Med Ctr, Pediat Dept A, Haifa, Israel
基金
以色列科学基金会;
关键词
real-time; feedback; closed-loop; multi-electrode array; human-machine interface; DYNAMIC CLAMP; NETWORKS; INTERFACES; AVALANCHES;
D O I
10.3389/fnins.2010.00173
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页数:8
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