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institution

Allen Institute for Brain Science

United States

84 papers here4.5k citations across 84
fields
  • q-bio.NC27
  • cs.CV13
  • cs.LG8
  • physics.optics6
  • eess.IV5
  • stat.ME3
  • cs.CE2
  • cs.NE2
ROR 00dcv1019OpenAlex

affiliations via OpenAlex

output
20092026
most citedInterpretable machine learning: definitions, methods, and applications

2.2k citations

researchers with a paper here
  • Thomas Serre12 · h 52
  • Eric Shea-Brown8 · h 40
  • Jia-Nan Fang6 · h 10
  • Kun Huang2 profiles6 · h 21
  • Drew Linsley2 profiles5 · h 12
  • Heping Zeng4 · h 7
  • Stefan Mihalas4 · h 40
  • C. Koch3 · h 146
  • E. Wu2 profiles3 · h 29
  • Junkyung Kim3 · h 13
  • Martin Guillemaud3 · h 4
  • Mathieu Chalvidal3 · h 6
collaborating institutions
  • Brown UniversityUS17 papers
  • Allen InstituteUS16 papers
  • University of WashingtonUS9 papers
  • Institut du CerveauFR8 papers
  • Sorbonne UniversitéFR7 papers
  • Université Fédérale de Toulouse Midi-PyrénéesFR7 papers
  • Chongqing Normal UniversityCN6 papers
  • East China Normal UniversityCN6 papers
  • Shanxi UniversityCN6 papers
  • University of CalgaryCA6 papers
  • California Institute of TechnologyUS5 papers
  • Harvard UniversityUS5 papers
Showing 2014Show all

1 paper · 1 filter

q-bio.NC2014★ 52 cited

Revealing cell assemblies at multiple levels of granularity

Yazan N. Billeh, Michael T. Schaub, Costas A. Anastassiou +2

Background: Current neuronal monitoring techniques, such as calcium imaging and multi-electrode arrays, enable recordings of spiking activity from hundreds of neurons simultaneousl…

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