Home > Publications database > Dynamic Mean-Field Theory of Intrinsic Timescales in Spiking Neural Networks
 
Conference Presentation (Invited) FZJ-2022-01786
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Dynamic Mean-Field Theory of Intrinsic Timescales in Spiking Neural Networks

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2022

COSYNE workshops, CascaisCascais, Portugal, 21 Mar 2022 - 22 Mar 20222022-03-212022-03-22

Contributing Institute(s):
  1. Computational and Systems Neuroscience (INM-6)
  2. Theoretical Neuroscience (IAS-6)
  3. Jara-Institut Brain structure-function relationships (INM-10)
Research Program(s):
  1. 5231 - Neuroscientific Foundations (POF4-523) (POF4-523)
  2. 5232 - Computational Principles (POF4-523) (POF4-523)
  3. HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) (785907)
  4. HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) (945539)
  5. DFG project 347572269 - Heterogenität von Zytoarchitektur, Chemoarchitektur und Konnektivität in einem großskaligen Computermodell der menschlichen Großhirnrinde (347572269) (347572269)

Appears in the scientific report 2022
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The record appears in these collections:
Document types > Presentations > Conference Presentations
Institute Collections > INM > INM-10
Institute Collections > IAS > IAS-6
Institute Collections > INM > INM-6
Workflow collections > Public records
Publications database
 Record created 2022-03-28, last modified 2024-03-13
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