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 …

Rapid context inference in a thalamocortical model using recurrent neural networks

WL Zheng, Z Wu, A Hummos, GR Yang… - Nature …, 2024 - nature.com
Cognitive flexibility is a fundamental ability that enables humans and animals to exhibit
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?

M Schimel, TC Kao, G Hennequin - Elife, 2024 - elifesciences.org
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 …

Maintenance of procedural motor memory across brief rest periods requires the hippocampus

D Mylonas, AC Schapiro, M Verfaellie… - Journal of …, 2024 - Soc Neuroscience
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 …

[HTML][HTML] The utility of a latent-cause framework for understanding addiction phenomena

S Pisupati, AJ Langdon, AB Konova, Y Niv - Addiction Neuroscience, 2024 - Elsevier
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 …

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 …

Identifying transfer learning in the reshaping of inductive biases

A Székely, B Török, M Kiss, K Janacsek, D Németh… - Open Mind, 2024 - direct.mit.edu
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 …

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 …

[PDF][PDF] Addiction Neuroscience

S Pisupati, AJ Langdon, AB Konova, Y Niv - Addiction, 2024 - nivlab.princeton.edu
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 …

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 …