The talk will present our work on short-term plasticity, meta-learning, Hebbian learning, self-supervised learning, and partly spiking neural networks. The talk will briefly mention the physical realizations of some of these mechanisms on extremely efficient neuromorphic hardware, namely memristive nanodevices. Thus, Dr Moraitis proposes, we as a field should not aim for efficiency-performance trade-offs, but rather for biological mechanisms that improve SOTA performance - and are also efficient. This strategy has the potential to bring NC to the mainstream.
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