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researcher

Eric Herbelin

3 papers hereh-index 4208 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.ET1
  • eess.SP1
  • physics.app-ph1

identity via Semantic Scholar / OpenAlex

most citedA memristive deep belief neural network based on silicon synapses

66 citations · 91 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SP2022★ 13 cited

Efficient Training of the Memristive Deep Belief Net Immune to Non-Idealities of the Synaptic Devices

Wei Wang, Barak Hoffer, Tzofnat Greenberg-Toledo +8

The tunability of conductance states of various emerging non-volatile memristive devices emulates the plasticity of biological synapses, making it promising in the hardware realiza…

physics.app-ph2022★ 66 cited

A memristive deep belief neural network based on silicon synapses

Wei Wang, Loai Danial, Yang Li +6

Memristor-based neuromorphic computing could overcome the limitations of traditional von Neumann computing architectures -- in which data are shuffled between separate memory and p…

cs.ET2022★ 12 cited

Physical based compact model of Y-Flash memristor for neuromorphic computation

Wei Wang, Loai Danial, Eric Herbelin +6

Y-Flash memristors utilize the mature technology of single polysilicon floating gate non-volatile memories (NVM). It can be operated in a two-terminal configuration similar to the…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.