Modelling the sleeping brain: towards a neural mass model of sleep rhythms and their interactions
2019-09 ~ 2021-09Abstract: Memory consolidation, a prominent example of higher cognitive processes, relies on two important neural phenomena: slow-wave sleep with a wealth of distinct rhythms, and cross-frequency coupling between these rhythms. Neither of these processes is, to this day, fully understood. However, according to the two-stage model of memory consolidation, the interplay between slow oscillations and sleep spindles by means of phase-amplitude coupling, as well as the interplay between sleep spindles and hippocampal sharp-wave ripples, seem to promote neural plasticity and initiate a cortical-hippocampal dialogue that leads to experience replay and, ultimately, migration of newly encoded memories to longer-lasting storage. The overall aim of this project is to shed light on the slow oscillation-spindle interplay using a biologically realistic neural mass model and, additionally, reproduce the cross-frequency phenomena.
- my role: main investigator | all the science
- supervised by: Klaus Obermayer, NI, TU Berlin
- funded by: Operational Programme Research, Development and Education, Ministry of Education, Youth and Sport of the Czech Republic; co-funded by the EU
Relevant outputs
- Publication on thalamic modelling in Frontiers in Computation Neuroscience
- Publication on
neurolib
- a simulation and optimization framework for whole-brain modeling in Cognitive Computation - WIP: model codebase ~ gitlab | experiments log ~ gitlab
- Bernstein Conference 2020 ~ poster
- 29th Annual Computational Neuroscience Meeting: CNS*2020 ~ poster
- neuromatch 3.0 conference ~ video
- COSYNE 2021 ~ poster | video
Notes
- part of DFG CRC1315: Mechanisms and disturbances in memory consolidation: from synapses to systems