Towards the next generation of recurrent network models for cognitive neuroscience

GR Yang, M Molano-Mazón - Current opinion in neurobiology, 2021 - Elsevier
Recurrent neural networks (RNNs) trained with machine learning techniques on cognitive
tasks have become a widely accepted tool for neuroscientists. In this short opinion piece, we …

Understanding the development of reward learning through the lens of meta-learning

K Nussenbaum, CA Hartley - Nature Reviews Psychology, 2024 - nature.com
Determining how environments shape how people learn is central to understanding
individual differences in goal-directed behaviour. Studies of the effects of early-life adversity …

The interpretation of computational model parameters depends on the context

MK Eckstein, SL Master, L Xia, RE Dahl, L Wilbrecht… - Elife, 2022 - elifesciences.org
Reinforcement Learning (RL) models have revolutionized the cognitive and brain sciences,
promising to explain behavior from simple conditioning to complex problem solving, to shed …

The influence of early-life adversity on the coupling of structural and functional brain connectivity across childhood

SY Chan, ZM Ngoh, ZY Ong, AL Teh, MZL Kee… - Nature Mental …, 2024 - nature.com
Early-life adversity (ELA) exposure is suggested to accelerate development. However, the
influence of ELA on neurodevelopmental trajectories has not been assessed directly but …

The evolution of sensitive periods beyond early ontogeny: Bridging theory and data

N Walasek, K Panchanathan… - Functional …, 2024 - Wiley Online Library
Sensitive periods, in which experiences have a large impact on phenotypic development,
are most common early in ontogeny. Yet, they may also occur at later ontogenetic stages …

Caudate nucleus volume in medicated and unmedicated patients with early-and adult-onset schizophrenia

D Andreou, KN Jørgensen, S Nerland, T Calkova… - Scientific Reports, 2024 - nature.com
The caudate nucleus is a part of the striatum, and striatal hyperdopaminergia is considered
central to the pathophysiology of schizophrenia. How caudate volume is affected in …

Goal-directed learning in adolescence: neurocognitive development and contextual influences

L Wilbrecht, JY Davidow - Nature Reviews Neuroscience, 2024 - nature.com
Adolescence is a time during which we transition to independence, explore new activities
and begin pursuit of major life goals. Goal-directed learning, in which we learn to perform …

Transient food insecurity during the juvenile-adolescent period affects adult weight, cognitive flexibility, and dopamine neurobiology

WC Lin, C Liu, P Kosillo, LH Tai, E Galarce, HS Bateup… - Current Biology, 2022 - cell.com
A major challenge for neuroscience, public health, and evolutionary biology is to understand
the effects of scarcity and uncertainty on the developing brain. Currently, a significant …

Experimental biology can inform our understanding of food insecurity

L Wilbrecht, WC Lin, K Callahan… - Journal of …, 2024 - journals.biologists.com
Food insecurity is a major public health issue. Millions of households worldwide have
intermittent and unpredictable access to food and this experience is associated with greater …

[HTML][HTML] The connecting brain in context: How adolescent plasticity supports learning and development

AE Baker, A Galván, AJ Fuligni - Developmental Cognitive Neuroscience, 2025 - Elsevier
Puberty initiates significant neurobiological changes that amplify adolescents'
responsiveness to their environment, facilitating neural adaptation through processes like …