2017/07/12 by Maciej Jedynak, Antonio J. Pons, Jordi Garcia-Ojalvo +1 · 8 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Neuroscience · Physics and Astronomy · Psychology · #Artificial intelligence #Computer science #Coupling (piping) #Coupling strength #Engineering #Mesoscopic physics #Neural activity #Neural dynamics and brain function #Neuroscience #Noise (video) #Nonlinear Dynamics and Pattern Formation #Physics #Psychology #Quantum mechanics #Statistical physics #Synchronization (alternating current) #Telecommunications #nlin.AO #q-bio.NC #stochastic dynamics and bifurcation
paper · pdf · doi:10.1103/physreve.97.012204
published in Physical review. E 97(1), 012204 (American Physical Society) · 8 pages, 7 figures
arxiv created 2017/07/12 · openalex publication_date 2018/01/12 · arxiv updated 2018/01/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
At the mesoscopic scale, the brain can be understood as a collection of interacting neuronal oscillators, but the extent to which its sustained activity is due to coupling among brain areas is still unclear. Here we address this issue in a simplified situation by examining the effect of coupling between two cortical columns described via Jansen-Rit neural mass models. Our results show that coupling between the two neuronal populations gives rise to stochastic initiations of sustained collective activity, which can be interpreted as epileptic events. For large enough coupling strengths, termination of these events results mainly from the emergence of synchronization between the columns, and thus it is controlled by coupling instead of noise. Stochastic triggering and noise-independent durations are characteristic of excitable dynamics, and thus we interpret our results in terms of collective excitability.