Reconstructing Network Dynamics from Data - Applications to Neuroscience and Beyond

Reconstructing Network Dynamics from Data - Applications to Neuroscience and Beyond

Institute for Pure & Applied Mathematics (IPAM) via YouTube Direct link

Peter Tass - Using Maths and Physics to Treat Parkinson’s With a Vibrating Glove - IPAM at UCLA

18 of 20

18 of 20

Peter Tass - Using Maths and Physics to Treat Parkinson’s With a Vibrating Glove - IPAM at UCLA

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Reconstructing Network Dynamics from Data - Applications to Neuroscience and Beyond

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  1. 1 Heather Shappell - State change estimation in dynamic functional connectivity w/ semi-Markov models
  2. 2 Klaus Lehnertz - From local to global: correspondences between structural and functional networks
  3. 3 Tiago Pereira - Ergodic basis pursuit induces robust network reconstruction - IPAM at UCLA
  4. 4 Tomislav Stankovski - Neural Cross-frequency Coupling: delta-alpha, resting state, anesthesia, sleep
  5. 5 Serhiy Yanchuk - Adaptive dynamical networks: from multiclusters to recurrent synchronization
  6. 6 Sarah Muldoon - Characterizing differences in structural network changes from traumatic brain injury
  7. 7 Ginestra Bianconi - Dynamics of higher-order networks: effect of topology and triadic interactions
  8. 8 Jaroen Lamb - Towards a bifurcation theory of random dynamical systems - IPAM at UCLA
  9. 9 Deniz Eroglu - Emergent hypernetworks in weakly coupled oscillators - IPAM at UCLA
  10. 10 Sandro Vaienti - Thermodynamic formalism for open random dynamical systems - IPAM at UCLA
  11. 11 Danielle Bassett - Probing the costly dynamics of cognitive effort - IPAM at UCLA
  12. 12 Andrey Shilnikov - Reconstructed rhythm-generation by neural circuits in two sea slugs
  13. 13 Maxime Lucas - Synchronisation of oscillators with group interactions - IPAM at UCLA
  14. 14 Aneta Stefanovska - Time: How it matters - IPAM at UCLA
  15. 15 Ernesto Estrada - Network bypasses sustain complexity - IPAM at UCLA
  16. 16 Arkady Pikovsky - Inferring coupled oscillatory dynamics from data - IPAM at UCLA
  17. 17 Gary Froyland - Extracting cycles from spatiotemporal data and coherent sets across dynamic regimes
  18. 18 Peter Tass - Using Maths and Physics to Treat Parkinson’s With a Vibrating Glove - IPAM at UCLA
  19. 19 Erik Bollt - Identify Interactions in Complex Networked Dynamical Systems through Causation Entropy
  20. 20 Matteo Tanzi - Self-consistent transfer operators for high-dimensional expanding coupled maps

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