Building Brain-Like Systems from Sub-Threshold Electronics

EE Times Current · 6 Oct 2023 · 44m

What this episode covers

Professor Giacomo Indiveri of the Institute of Neuroinformatics explains his work on sub-threshold analog neuromorphic chips like DynapSE2, which mimic biological neurons for ultra-low-power biosignal processing. He discusses the shift from single-neuron to population coding for robustness, the challenges of benchmarking diverse hardware platforms, and the evolution of the term 'neuromorphic' to include digital and memristive systems. The episode also features commentary from Professor Ralph Etienne-Cummings on the industrial viability of neuromorphic engineering and the future of prospective learning in AI.

Mentioned

Companies
SynSense, Institute of Neuroinformatics, Johns Hopkins University, Italian Institute of Technology, Intel, Boston Dynamics
Products
DynapSE2
Also
Neurobench

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