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researcher

Brian DePasquale

2 papers hereh-index 5796 citations11 works total

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

author position
  • first author2

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

fields
  • cs.NE1
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

most citedfull-FORCE: A Target-Based Method for Training Recurrent Networks

141 citations · 179 across the 2 of their papers we have counts for

collaborators
Showing q-bio.NCShow all

1 paper · 1 filter

q-bio.NC2016★ 38 cited

Using Firing-Rate Dynamics to Train Recurrent Networks of Spiking Model Neurons

Brian DePasquale, Mark M. Churchland, L. F. Abbott

Recurrent neural networks are powerful tools for understanding and modeling computation and representation by populations of neurons. Continuous-variable or "rate" model networks h…

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