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Loihi is a 60-mm2 chip fabricated in Intels 14-nm process that advances the state-of-the-art modeling of spiking neural networks in silicon. It integrates a wide range of novel features for the field, such as hierarchical connectivity, dendritic compartments, synaptic delays, and, most importantly, programmable synaptic learning rules. Running a spiking convolutional form of the Locally Competitive Algorithm, Loihi can solve LASSO optimization problems with over three orders of magnitude superior energy-delay-product compared to conventional solvers running on a CPU iso-process/voltage/area. This provides an unambiguous example of spike-based computation, outperforming all known conventional solutions.
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Mike Davies
Narayan Srinivasa
Tsung-Han Lin
IEEE Micro
Intel (United States)
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Davies et al. (Mon,) studied this question.
www.synapsesocial.com/papers/69d95f46c7f0c3ae80a3d394 — DOI: https://doi.org/10.1109/mm.2018.112130359