Neuromorphic technology for interfacing brains
Yao-Hong Liu a
a Imec Netherlands, Eindhoven, The Netherlands
Proceedings of Materials, devices and systems for neuromorphic computing 2022 (MatNeC22)
Groningen, Netherlands, 2022 March 28th - 29th
Organizers: Jasper van der Velde, Elisabetta Chicca, Yoeri van de Burgt and Beatriz Noheda
Invited Speaker, Yao-Hong Liu, presentation 008
DOI: https://doi.org/10.29363/nanoge.matnec.2022.008
Publication date: 23rd February 2022

“Sitting on your shoulders is the most complicated object in the known universe” - Prof. M. Kaku. The human brain has up to 80 billion of neurons, which is similar to the number of planets in our Galaxy. It gives us a feeling that we are an independent and unique individual, but we have very little idea how the brain functions. Many neural sensing technologies, mostly imaging, have been developed for scientific or therapeutic purposes. With the advancement in semiconductor technology, silicon-based intra-cortical micro-electrode arrays (MEAs) enable electrical sensing with sub-millisecond temporal resolution and 10’s of µm spatial resolution. They have become the most widely adopted method in neurotherapeutics or neuroscience experiments at the moment. However, there are still many challenges yet to be overcome. For instance, high channel count of neural sensing with high temporal resolution produces a huge amount of data, and they need to be wirelessly transferred across tissues without introducing heating. However, such brain implants should be highly miniature to minimize the surgical invasiveness, so they have very limited resource to support energy-consuming wireless transmission. In this plenary talk, we will discuss how neuromorphic technology inspired from our brains can be a potential solution for future brain-computer interfaces.

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No. 101001448).

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