[HTML][HTML] Replay and compositional computation
Replay in the brain has been viewed as rehearsal or, more recently, as sampling from a
transition model. Here, we propose a new hypothesis: that replay is able to implement a form …
transition model. Here, we propose a new hypothesis: that replay is able to implement a form …
Learning beyond sensations: how dreams organize neuronal representations
Semantic representations in higher sensory cortices form the basis for robust, yet flexible
behavior. These representations are acquired over the course of development in an …
behavior. These representations are acquired over the course of development in an …
[HTML][HTML] An integrative, multiscale view on neural theories of consciousness
How is conscious experience related to material brain processes? A variety of theories
aiming to answer this age-old question have emerged from the recent surge in …
aiming to answer this age-old question have emerged from the recent surge in …
[HTML][HTML] The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks
In laboratory object recognition tasks based on undistorted photographs, both adult humans
and deep neural networks (DNNs) perform close to ceiling. Unlike adults', whose object …
and deep neural networks (DNNs) perform close to ceiling. Unlike adults', whose object …
[HTML][HTML] Topographic-dynamic reorganisation model of dreams (TRoD)–A spatiotemporal approach
Dreams are one of the most bizarre and least understood states of consciousness. Bridging
the gap between brain and phenomenology of (un) conscious experience, we propose the …
the gap between brain and phenomenology of (un) conscious experience, we propose the …
A neuronal least-action principle for real-time learning in cortical circuits
One of the most fundamental laws of physics is the principle of least action. Motivated by its
predictive power, we introduce a neuronal least-action principle for cortical processing of …
predictive power, we introduce a neuronal least-action principle for cortical processing of …
Sufficient conditions for offline reactivation in recurrent neural networks
During periods of quiescence, such as sleep, neural activity in many brain circuits resembles
that observed during periods of task engagement. However, the precise conditions under …
that observed during periods of task engagement. However, the precise conditions under …
The coming decade of digital brain research-A vision for neuroscience at the intersection of technology and computing
Brain research has in recent years indisputably entered a new epoch, driven by substantial
methodological advances and digitally enabled data integration and modeling at multiple …
methodological advances and digitally enabled data integration and modeling at multiple …
[HTML][HTML] Reporting standard for describing first responder systems, smartphone alerting systems, and AED networks
Standardized reporting of data is crucial for out-of-hospital cardiac arrest (OHCA) research.
While the implementation of first responder systems dispatching volunteers to OHCA is …
While the implementation of first responder systems dispatching volunteers to OHCA is …
[HTML][HTML] Computational role of sleep in memory reorganization
K Yoshida, T Toyoizumi - Current opinion in neurobiology, 2023 - Elsevier
Sleep is considered to play an essential role in memory reorganization. Despite its
importance, classical theoretical models did not focus on some sleep characteristics. Here …
importance, classical theoretical models did not focus on some sleep characteristics. Here …