Interfacing a silicon chip to pairs of snail neurons connected by electrical synapses.
Future hybrid neuron-semiconductor chips will consist of complex neural networks that are directly interfaced to electronic integrated circuits. They will help us to understand the dynamics of neuronal networks and may lead to novel computational facilities. Here we report on an elementary step towards such neurochips. We designed and fabricated a silicon chip for multiple two-way interfacing, and cultured on it pairs of neurons from the pedal ganglia of the snail Lymnaea stagnalis. These neurons were joined to each other by an electrical synapse, and to the chip by a capacitive stimulator and a recording transistor. We obtained a set of neuroelectronic units with sequential and parallel signal transmission through the neuron-silicon interface and the synapse, with a bidirectionally interfaced neuron-pair and with a signal path from the chip through a synaptically connected neuron pair back to the chip. The prospects for assembling more involved hybrid networks on the basis of these neuroelectronic units are considered.
Jenkner
M
M
Department of Membrane and Neurophysics, Max Planck Institute for Biochemistry, 82152 Martinsried/München, Germany.
Müller
B
B
Fromherz
P
P
D000818:Animals; D002478:Cells, Cultured; D004553:Electric Conductivity; D008195:Lymnaea; D008422:Materials Testing; D009415:Nerve Net; D016571:Neural Networks, Computer; D009474:Neurons / Q000166:cytology* / Q000502:physiology; D012825:Silicon; D013569:Synapses / Q000502:physiology*
D012825:Silicon