Covariant spatio-temporal receptive fields for neuromorphic computing

arXiv:2405.00318v1 Announce Type: cross
Abstract: Biological nervous systems constitute important sources of inspiration towards computers that are faster, cheaper, and more energy efficient. Neuromorphic disciplines view the brain as a coevolved system, simultaneously optimizing the hardware and the algorithms running on it. There are clear efficiency gains when bringing the computations into a physical substrate, but we presently lack theories to guide efficient implementations. Here, we present a principled computational model for neuromorphic systems in terms of spatio-temporal receptive fields, …

abstract algorithms arxiv brain clear computers computing covariant cs.cv cs.lg cs.ne efficiency energy energy efficient faster fields hardware inspiration neuromorphic neuromorphic computing running systems temporal type view