Functional neuroimaging in psychiatry and the case for failing better

MM Nour, Y Liu, RJ Dolan - Neuron, 2022 - cell.com
Psychiatric disorders encompass complex aberrations of cognition and affect and are
among the most debilitating and poorly understood of any medical condition. Current …

[HTML][HTML] Beyond simple laboratory studies: developing sophisticated models to study rich behavior

A Maselli, J Gordon, M Eluchans, GL Lancia… - Physics of Life …, 2023 - Elsevier
Psychology and neuroscience are concerned with the study of behavior, of internal cognitive
processes, and their neural foundations. However, most laboratory studies use constrained …

Mice alternate between discrete strategies during perceptual decision-making

ZC Ashwood, NA Roy, IR Stone… - Nature …, 2022 - nature.com
Classical models of perceptual decision-making assume that subjects use a single,
consistent strategy to form decisions, or that decision-making strategies evolve slowly over …

Striatal dopamine signals reflect perceived cue–action–outcome associations in mice

TW Bernklau, B Righetti, LS Mehrke, SN Jacob - Nature Neuroscience, 2024 - nature.com
Striatal dopamine drives associative learning by acting as a teaching signal. Much work has
focused on simple learning paradigms, including Pavlovian and instrumental learning …

Trial-history biases in evidence accumulation can give rise to apparent lapses in decision-making

D Gupta, B DePasquale, CD Kopec… - Nature communications, 2024 - nature.com
Trial history biases and lapses are two of the most common suboptimalities observed during
perceptual decision-making. These suboptimalities are routinely assumed to arise from …

[HTML][HTML] Cell-type-specific population dynamics of diverse reward computations

EL Sylwestrak, YJ Jo, S Vesuna, X Wang, B Holcomb… - Cell, 2022 - cell.com
Computational analysis of cellular activity has developed largely independently of modern
transcriptomic cell typology, but integrating these approaches may be essential for full …

Mixtures of strategies underlie rodent behavior during reversal learning

NM Le, M Yildirim, Y Wang, H Sugihara… - PLOS Computational …, 2023 - journals.plos.org
In reversal learning tasks, the behavior of humans and animals is often assumed to be
uniform within single experimental sessions to facilitate data analysis and model fitting …

Opponent control of behavior by dorsomedial striatal pathways depends on task demands and internal state

SS Bolkan, IR Stone, L Pinto, ZC Ashwood… - Nature …, 2022 - nature.com
A classic view of the striatum holds that activity in direct and indirect pathways oppositely
modulates motor output. Whether this involves direct control of movement, or reflects a …

Dynamic inverse reinforcement learning for characterizing animal behavior

Z Ashwood, A Jha, JW Pillow - Advances in neural …, 2022 - proceedings.neurips.cc
Understanding decision-making is a core goal in both neuroscience and psychology, and
computational models have often been helpful in the pursuit of this goal. While many models …

[HTML][HTML] Shared and specialized coding across posterior cortical areas for dynamic navigation decisions

SY Tseng, SN Chettih, C Arlt, R Barroso-Luque… - Neuron, 2022 - cell.com
Animals adaptively integrate sensation, planning, and action to navigate toward goal
locations in ever-changing environments, but the functional organization of cortex …