Early selection of task-relevant features through population gating
J Barbosa, R Proville, CC Rodgers… - Nature …, 2023 - nature.com
Brains can gracefully weed out irrelevant stimuli to guide behavior. This feat is believed to
rely on a progressive selection of task-relevant stimuli across the cortical hierarchy, but the …
rely on a progressive selection of task-relevant stimuli across the cortical hierarchy, but the …
Rapid context inference in a thalamocortical model using recurrent neural networks
Cognitive flexibility is a fundamental ability that enables humans and animals to exhibit
appropriate behaviors in various contexts. The thalamocortical interactions between the …
appropriate behaviors in various contexts. The thalamocortical interactions between the …
When and why does motor preparation arise in recurrent neural network models of motor control?
During delayed ballistic reaches, motor areas consistently display movement-specific activity
patterns prior to movement onset. It is unclear why these patterns arise: while they have …
patterns prior to movement onset. It is unclear why these patterns arise: while they have …
Maintenance of procedural motor memory across brief rest periods requires the hippocampus
Research on the role of the hippocampus in memory acquisition has generally focused on
active learning. But to understand memory, it is at least as important to understand …
active learning. But to understand memory, it is at least as important to understand …
[HTML][HTML] The utility of a latent-cause framework for understanding addiction phenomena
Computational models of addiction often rely on a model-free reinforcement learning (RL)
formulation, owing to the close associations between model-free RL, habitual behavior and …
formulation, owing to the close associations between model-free RL, habitual behavior and …
Neural representations for multi-context visuomotor adaptation and the impact of common representation on multi-task performance: a multivariate decoding approach
Y Song, W Shin, P Kim, J Jeong - Frontiers in Human Neuroscience, 2023 - frontiersin.org
The human brain's remarkable motor adaptability stems from the formation of context
representations and the use of a common context representation (eg, an invariant task …
representations and the use of a common context representation (eg, an invariant task …
Identifying transfer learning in the reshaping of inductive biases
Transfer learning, the reuse of newly acquired knowledge under novel circumstances, is a
critical hallmark of human intelligence that has frequently been pitted against the capacities …
critical hallmark of human intelligence that has frequently been pitted against the capacities …
Learning to Abstract Visuomotor Mappings using Meta-Reinforcement Learning
CA Velazquez-Vargas, IR Christian, JA Taylor… - arXiv preprint arXiv …, 2024 - arxiv.org
We investigated the human capacity to acquire multiple visuomotor mappings for de novo
skills. Using a grid navigation paradigm, we tested whether contextual cues implemented as …
skills. Using a grid navigation paradigm, we tested whether contextual cues implemented as …
[PDF][PDF] Addiction Neuroscience
Computational models of addiction often rely on a model-free reinforcement learning (RL)
formulation, owing to the close associations between model-free RL, habitual behavior and …
formulation, owing to the close associations between model-free RL, habitual behavior and …
Investigating reward-based motor performance in volatile environments using computational modelling and electroencephalography
M Tecilla - 2024 - research.gold.ac.uk
Motor improvements have been linked to reward magnitude in deterministic contexts.
Nevertheless, it remains unclear whether individual inferences about reward probability …
Nevertheless, it remains unclear whether individual inferences about reward probability …