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Neural assemblies revealed by inferred connectivity-based models of prefrontal cortex recordings

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Publication:1705040
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DOI10.1007/s10827-016-0617-5zbMath1382.92095DBLPjournals/jcns/TavoniCM16OpenAlexW2505890253WikidataQ39548838 ScholiaQ39548838MaRDI QIDQ1705040

Remi Monasson, G. Tavoni, Simona Cocco

Publication date: 14 March 2018

Published in: Journal of Computational Neuroscience (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10827-016-0617-5


zbMATH Keywords

Ising modelstatistical inferencegeneralized linear modelreplaycell assemblies


Mathematics Subject Classification ID

Neural biology (92C20)


Related Items (2)

Statistical physics and representations in real and artificial neural networks ⋮ Two stage approach to functional network reconstruction for binary time-series


Uses Software

  • Ace


Cites Work

  • Adaptive cluster expansion for the inverse Ising problem: convergence, algorithm and tests
  • Ising models for neural activity inferred via selective cluster expansion: structural and coding properties
  • Unnamed Item
  • Unnamed Item




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