Семинар "Компьютерные Методы Анализа Когнитома" от 4 октября 2025 года
Докладчик: Юрий Александрович Дабагян Тема: “Brain rhythms—discrete and complex. An oscillon story” Abstract: The Discrete Padé Transform (DPT), a recently developed computational method, provides a new view of the structure and dynamics of oscillatory extracellular fields. Analyses of local field potentials (LFPs) show that brain rhythms comprise a small number of phase- or frequency-modulated components—oscillons—embedded in a weak noise background. In some cases, these oscillons roughly correspond to canonical θ- and γ-waves, but in general they exhibit more elaborate structure and dynamics. For example, DPT reveals that information is conveyed not only through amplitude modulation (AM) but also through structured frequency modulation (FM). The carrier frequencies—spectral waves—display rich scope of behaviors, including slow drifts, rapid chirps, bifurcations, and abrupt transitions, which vary across wakefulness, quiet rest, sleep, and other states. These findings broaden the known repertoire of brain-rhythm properties and offer new insight into the organization and function of synchronized neuronal activity
Докладчик: Юрий Александрович Дабагян Тема: “Brain rhythms—discrete and complex. An oscillon story” Abstract: The Discrete Padé Transform (DPT), a recently developed computational method, provides a new view of the structure and dynamics of oscillatory extracellular fields. Analyses of local field potentials (LFPs) show that brain rhythms comprise a small number of phase- or frequency-modulated components—oscillons—embedded in a weak noise background. In some cases, these oscillons roughly correspond to canonical θ- and γ-waves, but in general they exhibit more elaborate structure and dynamics. For example, DPT reveals that information is conveyed not only through amplitude modulation (AM) but also through structured frequency modulation (FM). The carrier frequencies—spectral waves—display rich scope of behaviors, including slow drifts, rapid chirps, bifurcations, and abrupt transitions, which vary across wakefulness, quiet rest, sleep, and other states. These findings broaden the known repertoire of brain-rhythm properties and offer new insight into the organization and function of synchronized neuronal activity