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Photonic spike processing: ultrafast laser neurons and an integrated photonic network

Author(s): Shastri, Bhavin J; Tait, Alexander N; Nahmias, Mitchell A; Prucnal, Paul R

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dc.contributor.authorShastri, Bhavin J-
dc.contributor.authorTait, Alexander N-
dc.contributor.authorNahmias, Mitchell A-
dc.contributor.authorPrucnal, Paul R-
dc.date.accessioned2024-01-11T15:00:50Z-
dc.date.available2024-01-11T15:00:50Z-
dc.date.issued2014-07-08en_US
dc.identifier.citationShastri, Bhavin J, Tait, Alexander N, Nahmias, Mitchell A, Prucnal, Paul R. (2014). Photonic spike processing: ultrafast laser neurons and an integrated photonic network. IEEE Photonics Society Newsletter, vol. 28, no. 3, pp. 4--11, Jun. 2014en_US
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1r49g905-
dc.description.abstractThe marriage of two vibrant fields---photonics and neuromorphic processing---is fundamentally enabled by the strong analogies within the underlying physics between the dynamics of biological neurons and lasers, both of which can be understood within the framework of nonlinear dynamical systems theory. Whereas neuromorphic engineering exploits the biophysics of neuronal computation algorithms to provide a wide range of computing and signal processing applications, photonics offer an alternative approach to neuromorphic systems by exploiting the high speed, high bandwidth, and low crosstalk available to photonic interconnects which potentially grants the capacity for complex, ultrafast categorization and decision-making. Here we highlight some recent progress on this exciting field.en_US
dc.language.isoen_USen_US
dc.relation.ispartofIEEE Photonics Society Newsletter, vol. 28, no. 3, pp. 4--11, Jun. 2014en_US
dc.rightsAuthor's manuscripten_US
dc.titlePhotonic spike processing: ultrafast laser neurons and an integrated photonic networken_US
dc.typeJournal Articleen_US
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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