Towards spike-based machine intelligence with neuromorphic computing

Roy, Kaushik; Jaiswal, Akhilesh; Panda, Priyadarshini

doi:10.1038/s41586-019-1677-2

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Towards spike-based machine intelligence with neuromorphic computing

Author(s): Kaushik Roy , Akhilesh Jaiswal , Priyadarshini Panda

Publication date (Electronic): November 27 2019

Journal: Nature

Publisher: Springer Science and Business Media LLC

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Simple model of spiking neurons.

E Izhikevich (2003)

A model is presented that reproduces spiking and bursting behavior of known types of cortical neurons. The model combines the biologically plausibility of Hodgkin-Huxley-type dynamics and the computational efficiency of integrate-and-fire neurons. Using this model, one can simulate tens of thousands of spiking cortical neurons in real time (1 ms resolution) using a desktop PC.