Physics of neural networks with non-additive coupling
Zusammenfassung der Projektergebnisse
We believe that the incorporation of mechanisms of nonadditivity represents a new direction of research in the physics and network science of neural systems, e.g. for exploring guided synchrony as well as promoting and exploiting oscillations. By example of oscillations emerging in hippocampus, we thereby also link local non-additive coupling and networkwide oscillations to a specific functional role (memory formation and recovery). On a side note, some of the theoretical tools we have developed in this work, in particular the effective description of statistical impingements of pulses in the presence of non-additivities and the newly uncovered potential of hub units to indirectly control signal propagation should also apply to broader settings beyond neuronal networks, e.g., in networks of interacting flashing fireflies or technical pulse-coupled systems.
Projektbezogene Publikationen (Auswahl)
- Guiding Synchrony Through Random Networks, Phys. Rev. X 2, 041016 (2012)
S. Jahnke, M. Timme, and R.-M. Memmesheimer
(Siehe online unter https://doi.org/10.1103/PhysRevX.2.041016) - Propagating Synchrony in Feed-Forward Networks, Frontiers Comput. Neurosci. 7:153 (2013)
S. Jahnke, R.M. Memmesheimer, and M. Timme
(Siehe online unter https://doi.org/10.3389/fncom.2013.00153) - Hub-activated signal transmission in complex networks, Phys. Rev. E (Rapid) 89:030701 (2014)
S. Jahnke, R.M. Memmesheimer, and M. Timme
(Siehe online unter https://doi.org/10.1103/PhysRevE.89.030701) - Oscillation-Induced Signal Transmission and Gating in Neural Circuits, PLoS Comput. Biol. 10(12):1003940 (2014)
S. Jahnke, R.M. Memmesheimer, and M. Timme
(Siehe online unter https://doi.org/10.1371/journal.pcbi.1003940) - Statistical Physics of Neural Systems with Nonadditive Dendritic Coupling, Phys. Rev. X 4, 011053 (2014)
D. Breuer, M. Timme, and R.-M. Memmesheimer
(Siehe online unter https://doi.org/10.1103/PhysRevX.4.011053) - A Unified Dynamic Model for Learning, Replay, and Sharp-Wave/Ripples. Journal of Neuroscience 9 December 2015, 35 (49) 16236-16258
S. Jahnke, M. Timme and R.M. Memmesheimer
(Siehe online unter https://doi.org/10.1523/JNEUROSCI.3977-14.2015)
