-
[show abstract]
[hide abstract]
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 µs) 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.
Circuits and Systems and TAISA Conference, 2009. NEWCAS-TAISA '09. Joint IEEE North-East Workshop on; 08/2009
-
[show abstract]
[hide abstract]
ABSTRACT: Extracellular neural signal acquisition requires low noise, high gain, low power, and low cost amplifiers. This paper presents amplifiers with a simple architecture that ensures a good compromise among these characteristics. We present three amplifiers based on the same architecture, in which the first stage is a differential pair, respectively based on HBT, NMOS or PMOS transistors. The HBT-based solution presents the lowest intrinsic noise, followed by the NMOS solution. We use Monte Carlo simulation to validate the robustness of amplifiers' characteristics of technological dispersions.
Electronics, Circuits and Systems, 2007. ICECS 2007. 14th IEEE International Conference on; 01/2008
-
[show abstract]
[hide abstract]
ABSTRACT: Hybrid living-artificial neural networks are an efficient and adaptable experimental support to explore the dynamics and the adaptation process of biological neural systems. We present in this paper an innovative platform performing a real-time closed-loop between a cultured neural network and an artificial processing unit like a robotic interface. The system gathers bioware, hardware, and software components and ensures the closed-loop data processing in less than 50 micros. We detail here the system components and compare its performances to a recent commercial platform.
Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 02/2007; 2007:3004-7.
