Dr. Catherine Villard Profile

Dr. Catherine Villard

at CEA-LETI

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Proceedings Article | 8 June 2007 Paper

Living ordered neural networks as model systems for signal processing

C. Villard, P. Amblard, G. Becq, S. Gory-Faure, J. Brocard, S. Roth

Proceedings Volume 6602, 660215 (2007) https://doi.org/10.1117/12.724652

KEYWORDS: Neurons, Electrodes, Signal processing, Neural networks, Systems modeling, Axons, Silicon, In vitro testing, Capacitive coupling, Photoresist materials

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Neural circuit architecture is a fundamental characteristic of the brain, and how architecture is bound to biological functions is still an open question. Some neuronal geometries seen in the retina or the cochlea are intriguing: information is processed in parallel by several entities like in "pooling" networks which have recently drawn the attention of signal processing scientists. These systems indeed exhibit the noise-enhanced processing effect, which is also actively discussed in the neuroscience community at the neuron scale. The aim of our project is to use in-vitro ordered neuron networks as living paradigms to test ideas coming from the computational science. The different technological bolts that have to be solved are enumerated and the first results are presented. A neuron is a polarised cell, with an excitatory axon and a receiving dendritic tree. We present how soma confinement and axon differentiation can be induced by surface functionalization techniques. The recording of large neuron networks, ordered or not, is also detailed and biological signals shown. The main difficulty to access neural noise in the case of weakly connected networks grown on micro electrode arrays is explained. This open the door to a new detection technology suitable for sub-cellular analysis and stimulation, whose development will constitute the next step of this project.

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