RAMP – Real neurons-nanoelectronics Architecture with Memristive Plasticity
The RAMP project aims at creating a new biohybrid architecture where living and artificial neurons establish a bi-directional communication through memristive synaptic-like nanoelectronic elements. The artificial neural network will include brain-inspired reconfiguring connectivity.
Establishing and investigating the properties of this evolving will shed new light on information processing mechanisms in brain neural circuits and the engineering of advanced neuroprosthetic implants.
CyberRat project – A Brain-Chip Interface for High-resolution Bi-directional
We develop an innovative interface between a semiconductor chip and the rat brain. A small CMOS chip featuring a large-scale array of stimulation and recording capacitive microelectrodes integrated at high-density – up to 1000 elements spaced down to below 10 micrometers – is developed and implanted in the rat brain to achieve an unprecedented control of neuronal activity. Thanks to high-density integration, electrical imaging and stimulation of neuronal networks within the brain cortex, or even deep brain structures, is performed at a spatial resolution close to single neuron.