Brain Research, Journal Year: 2024, Volume and Issue: 1844, P. 149137 - 149137
Published: Aug. 3, 2024
Language: Английский
Brain Research, Journal Year: 2024, Volume and Issue: 1844, P. 149137 - 149137
Published: Aug. 3, 2024
Language: Английский
Hearing Research, Journal Year: 2025, Volume and Issue: 458, P. 109204 - 109204
Published: Jan. 31, 2025
Tinnitus is the perception of phantom sound in absence a corresponding external source. Previous studies reported that presence tinnitus notably absent during dreams. This study aimed at replicating previous findings regarding tinnitus-free dreams, while also gaining deeper understanding manifestations dreams and after awakening. For this observational study, 195 patients answered an online survey on mutual-help community Siopi. 148 subjective could recall their Among them, 94.6 % state they do not hear dreaming. The rest (5.4 %) report higher burden, stress more often exhibit cophosis, related to peripheral auditory pathology and/or associated with other health comorbidities. 12.2 participants frequently experience lucid 38 perceive was strongly concomitant sounds While majority perceiving instantly upon awakening, nocturnal awakenings, 17.2 declared be awakened by 10.0 mentioned can temporarily cease. Our confirm findings: rarely perceived Remarkably, our first document case 64 these gain higher-order consciousness attributes still experiencing state. observations suggest or gating information acts as on-off switch, refining previously proposed integrative model perception.
Language: Английский
Citations
0Published: Feb. 26, 2025
Brain modeling can occur at different levels of abstraction, each aimed a purpose. The Virtual (TVB) is an open-source platform for constructing and simulating personalized brain-network models, favoring whole-brain macro-scales while reducing micro-level detail. Among other purposes, TVB used to build patient-specific, digital, brain twins that be in clinical settings, such as the study treatment epilepsy. However, fitting patient-specific models requires large number successive time-consuming simulations. By studying internal structure TVB, we observed heterogeneous computation needs its which could leveraged accelerate In this work, designed implemented HUMA, heterogeneous, ultra low-latency, dataflow architecture on AMD Versal Adaptive SoC patient-brain makeups. Our solution runs about 27× faster compared modern-day, server-class, 32-core CPU consuming fraction power. Additionally, it delivers average 14× lower latency, 1.7× better power efficiency order-of-magnitude energy consumption when against high-performance GPU version TVB. achieved latency savings reveal significant potential model-fitting individual patients well closed-loop biohybrid experiments.
Language: Английский
Citations
0Brain Research, Journal Year: 2024, Volume and Issue: 1844, P. 149137 - 149137
Published: Aug. 3, 2024
Language: Английский
Citations
2