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Found 9 papers, 5 papers with code
Rethinking the external globus pallidus and information flow in cortico-basal ganglia-thalamic circuits
Taken together, this new evidence points to the GPe as being a central hub in the CBGT circuit, participating in bidirectional information flow and linking multifaceted control signals to regulate behavior.
Prospective Learning: Principled Extrapolation to the Future
We conjecture that certain sequences of tasks are not retrospectively learnable (in which the data distribution is fixed), but are prospectively learnable (in which distributions may be dynamic), suggesting that prospective learning is more difficult in kind than retrospective learning.
A critical reappraisal of predicting suicidal ideation using fMRI
For many psychiatric disorders, neuroimaging offers a potential for revolutionizing diagnosis, and potentially treatment, by providing access to preverbal mental processes.
Better Safe than Sorry: Evidence Accumulation Allows for Safe Reinforcement Learning
The agent makes no decision by default, and the burden of proof to make a decision falls on the policy to accrue evidence strongly in favor of a single decision.
Combining imagination and heuristics to learn strategies that generalize
Deep reinforcement learning can match or exceed human performance in stable contexts, but with minor changes to the environment artificial networks, unlike humans, often cannot adapt.
Local White Matter Architecture Defines Functional Brain Dynamics
If communication efficiency is fundamentally constrained by the integrity along the entire length of a white matter bundle, then variability in the functional dynamics of brain networks should be associated with variability in the local connectome.
Learning model-based strategies in simple environments with hierarchical q-networks
Recent advances in deep learning have allowed artificial agents to rival human-level performance on a wide range of complex tasks; however, the ability of these networks to learn generalizable strategies remains a pressing challenge.
FuSSO: Functional Shrinkage and Selection Operator
We present the FuSSO, a functional analogue to the LASSO, that efficiently finds a sparse set of functional input covariates to regress a real-valued response against.
DeBaCl: A Python Package for Interactive DEnsity-BAsed CLustering
The package is intended to promote the practical use of level set trees through improvements in computational efficiency and a high degree of user customization.
