T
Thomas Ferreira de Lima
Researcher at Princeton University
Publications - 98
Citations - 3893
Thomas Ferreira de Lima is an academic researcher from Princeton University. The author has contributed to research in topics: Neuromorphic engineering & Photonics. The author has an hindex of 24, co-authored 81 publications receiving 1991 citations.
Papers
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Journal ArticleDOI
Neuromorphic photonic networks using silicon photonic weight banks.
Alexander N. Tait,Thomas Ferreira de Lima,Ellen Zhou,Allie X. Wu,Mitchell A. Nahmias,Bhavin J. Shastri,Paul R. Prucnal +6 more
TL;DR: First observations of a recurrent silicon photonic neural network, in which connections are configured by microring weight banks are reported, and a mathematical isomorphism between the silicon photonics circuit and a continuous neural network model is demonstrated through dynamical bifurcation analysis.
Journal ArticleDOI
Photonics for artificial intelligence and neuromorphic computing
Bhavin J. Shastri,Alexander N. Tait,Thomas Ferreira de Lima,Wolfram H. P. Pernice,Harish Bhaskaran,C. David Wright,Paul R. Prucnal +6 more
TL;DR: Recent advances in integrated photonic neuromorphic neuromorphic systems are reviewed, current and future challenges are discussed, and the advances in science and technology needed to meet those challenges are outlined.
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Recent progress in semiconductor excitable lasers for photonic spike processing
Paul R. Prucnal,Bhavin J. Shastri,Thomas Ferreira de Lima,Mitchell A. Nahmias,Alexander N. Tait +4 more
TL;DR: The field is reaching a critical juncture at which there is a shift from studying single devices to studying an interconnected network of lasers, and the recent research in the information processing abilities of such lasers are reviewed, dubbed “photonic neurons,” “laser neurons” or “optical neurons.”
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Photonic Multiply-Accumulate Operations for Neural Networks
Mitchell A. Nahmias,Thomas Ferreira de Lima,Alexander N. Tait,Hsuan-Tung Peng,Bhavin J. Shastri,Paul R. Prucnal +5 more
TL;DR: This work describes the performance of photonic and electronic hardware underlying neural network models using multiply-accumulate operations, and investigates the limits of analog electronic crossbar arrays and on-chip photonic linear computing systems.
Journal ArticleDOI
A silicon photonic modulator neuron
Alexander N. Tait,Thomas Ferreira de Lima,Mitchell A. Nahmias,Heidi B. Miller,Hsuan-Tung Peng,Bhavin J. Shastri,Paul R. Prucnal +6 more
TL;DR: The silicon photonics modulator neuron constitutes the final piece needed to make photonic neural networks fully integrated on currently available silicon photonic platforms.