A real-time system for multisite stimulation on living neural networks

Author

Bontorin, G. ; Garenne, A. ; Tomas, J. ; Lopez, C. ; Morin, F.O. ; Renaud, S.

Author_Institution

IMS Lab., Univ. de Bordeaux, Bordeaux, France

fYear

2009

fDate

June 28 2009-July 1 2009

Firstpage

1

Lastpage

4

Abstract

Neural stimulation has many applications in fundamental and applied research. In this paper, we present a system for real time multisite stimulation on micro-electrode arrays (MEAs). This modular setup provides configurable stimulation patterns and ensures a control-to-data delay (16 mus) compatible with real-time processing. These specifications are necessary to investigate the dynamics of biological neural networks. The setup can be combined to an acquisition system to build a closed-loop platform for hybrid living-artificial networks.

Keywords

biomedical electronics; microelectrodes; neural chips; real-time systems; acquisition system; biological neural network; configurable stimulation patterns; control-to-data delay; living neural network; living-artificial network; microelectrode arrays; multisite stimulation; neural stimulation; real-time system; Biological neural networks; Electrical stimulation; Hardware; Neural networks; Neural prosthesis; Protocols; Pulse measurements; Real time systems; TCPIP; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems and TAISA Conference, 2009. NEWCAS-TAISA '09. Joint IEEE North-East Workshop on

Conference_Location

Toulouse

Print_ISBN

978-1-4244-4573-8

Electronic_ISBN

978-1-4244-4574-5

Type

conf

DOI

10.1109/NEWCAS.2009.5290511

Filename

5290511