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Rethinking retrosplenial cortex: Perspectives and predictions
The last decade has produced exciting new ideas about retrosplenial cortex (RSC) and its
role in integrating diverse inputs. Here, we review the diversity in forms of spatial and …
role in integrating diverse inputs. Here, we review the diversity in forms of spatial and …
Theory of the multiregional neocortex: large-scale neural dynamics and distributed cognition
XJ Wang - Annual review of neuroscience, 2022 - annualreviews.org
The neocortex is a complex neurobiological system with many interacting regions. How
these regions work together to subserve flexible behavior and cognition has become …
these regions work together to subserve flexible behavior and cognition has become …
Spatiotemporal dynamics of noradrenaline during learned behaviour
Noradrenaline released from the locus coeruleus (LC) is a ubiquitous neuromodulator,,–that
has been linked to multiple functions including arousal,,–, action and sensory gain,–, and …
has been linked to multiple functions including arousal,,–, action and sensory gain,–, and …
Meta-reinforcement learning via orbitofrontal cortex
The meta-reinforcement learning (meta-RL) framework, which involves RL over multiple
timescales, has been successful in training deep RL models that generalize to new …
timescales, has been successful in training deep RL models that generalize to new …
Value-guided remap** of sensory cortex by lateral orbitofrontal cortex
Adaptive behaviour crucially depends on flexible decision-making, which in mammals relies
on the frontal cortex, specifically the orbitofrontal cortex (OFC),,,,,,,–. How OFC encodes …
on the frontal cortex, specifically the orbitofrontal cortex (OFC),,,,,,,–. How OFC encodes …
Serotonin neurons modulate learning rate through uncertainty
Regulating how fast to learn is critical for flexible behavior. Learning about the
consequences of actions should be slow in stable environments, but accelerate when that …
consequences of actions should be slow in stable environments, but accelerate when that …
Cell-type-specific population dynamics of diverse reward computations
Computational analysis of cellular activity has developed largely independently of modern
transcriptomic cell typology, but integrating these approaches may be essential for full …
transcriptomic cell typology, but integrating these approaches may be essential for full …
Genetic map** of etiologic brain cell types for obesity
The underlying cell types mediating predisposition to obesity remain largely obscure. Here,
we integrated recently published single-cell RNA-sequencing (scRNA-seq) data from 727 …
we integrated recently published single-cell RNA-sequencing (scRNA-seq) data from 727 …
Characterizing cortex-wide dynamics with wide-field calcium imaging
The brain functions through coordinated activity among distributed regions. Wide-field
calcium imaging, combined with improved genetically encoded calcium indicators, allows …
calcium imaging, combined with improved genetically encoded calcium indicators, allows …
[HTML][HTML] An Integrated World Modeling Theory (IWMT) of consciousness: combining integrated information and global neuronal workspace theories with the free …
A Safron - Frontiers in artificial intelligence, 2020 - frontiersin.org
The Free Energy Principle and Active Inference Framework (FEP-AI) begins with the
understanding that persisting systems must regulate environmental exchanges and prevent …
understanding that persisting systems must regulate environmental exchanges and prevent …