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Gordon J. Berman

4 papers hereh-index 182.2k citations75 works total

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

author position
  • sole author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • q-bio.NC2
  • physics.bio-ph1
  • q-bio.PE1

identity via Semantic Scholar / OpenAlex

most citedApplication of the hierarchical bootstrap to multi-level data in neuroscience

23 citations · 32 across the 3 of their papers we have counts for

collaborators

4 papers

q-bio.NC2020★ 2 cited

Exploring a strongly non-Markovian animal behavior

Vasyl Alba, Gordon J. Berman, William Bialek +1

A freely walking fly visits roughly 100 stereotyped states in a strongly non-Markovian sequence. To explore these dynamics, we develop a generalization of the information bottlenec…

q-bio.PE2020★ 7 cited

A framework for studying behavioral evolution by reconstructing ancestral repertoires

Damián G. Hernández, Catalina Rivera, Jessica Cande +3

Although extensive behavioral changes often exist between closely related animal species, our understanding of the genetic basis underlying the evolution of behavior has remained l…

q-bio.NC2020★ 23 cited

Application of the hierarchical bootstrap to multi-level data in neuroscience

Varun Saravanan, Gordon J Berman, Samuel J Sober

A common feature in many neuroscience datasets is the presence of hierarchical data structures, most commonly recording the activity of multiple neurons in multiple animals across…

physics.bio-ph2017

Measuring behavior across scales

Gordon J. Berman

The need for high-throughput, precise, and meaningful methods for measuring behavior has been amplified by our recent successes in measuring and manipulating neural circuitry. The…

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