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Sandip Lashkare

2 papers here

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.NE1
  • physics.app-ph1
ORCID 0000-0003-2018-1681

identity via Semantic Scholar / OpenAlex

most citedA simple and efficient SNN and its performance & robustness evaluation method to enable hardware implementation

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

physics.app-ph2020

Temperature Dependence of Volatile Current shoot-up in PrMnO3 based Selector-less RRAM

S. Lashkare, A. Bhat, U. Ganguly

PrMnO3 (PMO) based Resistance Random Access Memory (RRAM) has recently been considered for selector-less RRAM and neuromorphic computing applications by utilizing its current shoot…

cs.NE2016★ 2 cited

A simple and efficient SNN and its performance & robustness evaluation method to enable hardware implementation

Anmol Biswas, Sidharth Prasad, Sandip Lashkare +1

Spiking Neural Networks (SNN) are more closely related to brain-like computation and inspire hardware implementation. This is enabled by small networks that give high performance o…

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