Low-noise materials for high-density neural interfaces
Together with local and international collaborators, we develop and assess the effiency of novel porous electrode materials such as porous platinum, porous diamond and other carbon based materials for recording and stimulation.
We are also involved in the development of transistors for multiplexed technology in order to reduce the interconnection burden of neural implants.
Wireless Neural Sensor
Considering that despite the high efficiency of current neural sensors and stimulators, tethered technologies still suffer from a lack of long-term efficiency, we explore fully wireless solutions where the sensors can be interrogated without using any wires.
Neuromorphic processing of neural signals
Large-scale neural implants generate tremendous amounts of data that need to be processed in real time for rehabilitation applications such as brain-computer interfaces. Embedding the processing of neural signals at the level of recording sites within cortical implants thus become challenging due to heavy computational load and thus high power consumption. We thus develop new approaches based on artificial spiking neural networks to enable online unsupervised processing of neural signals (e.g., spike sorting) compatible with very-low-power neuromorphic hardware.
Real-time software framework
Closed-loop paradigmes used in brain-computer interfaces require real-time processing of neural signals acquired using multielectrode arrays. For this purpose, we develop a highly optimised software framework that allow user-friendly creation of real-time neural processing pipelines based on a modular interconnection of individual processing blocks. Currently, this software is compatible with the following commercial recording systems: Blackrock Neuroport, Intan RHD and MultiChannelSystems WS2100.
Spatiotemporal mapping of multielectrode array neural data
We are making available the Neuromap software that allows spatiotemporal visualization of multielectrode array data and merging with anatomical images.
See the NeuroMap website for free download