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 …

Testing cognitive theories with multivariate pattern analysis of neuroimaging data

MV Peelen, PE Downing - Nature human behaviour, 2023 - nature.com
Multivariate pattern analysis (MVPA) has emerged as a powerful method for the analysis of
functional magnetic resonance imaging, electroencephalography and …

How computational modeling can force theory building in psychological science

O Guest, AE Martin - Perspectives on Psychological Science, 2021 - journals.sagepub.com
Psychology endeavors to develop theories of human capacities and behaviors on the basis
of a variety of methodologies and dependent measures. We argue that one of the most …

Adult-born dentate granule cells promote hippocampal population sparsity

SB McHugh, V Lopes-dos-Santos, GP Gava… - Nature …, 2022 - nature.com
The dentate gyrus (DG) gates neocortical information flow to the hippocampus. Intriguingly,
the DG also produces adult-born dentate granule cells (abDGCs) throughout the lifespan …

Reclaiming AI as a theoretical tool for cognitive science

I Van Rooij, O Guest, F Adolfi, R de Haan… - Computational Brain & …, 2024 - Springer
The idea that human cognition is, or can be understood as, a form of computation is a useful
conceptual tool for cognitive science. It was a foundational assumption during the birth of …

Hippocampal sequences during exploration: mechanisms and functions

C Drieu, M Zugaro - Frontiers in cellular neuroscience, 2019 - frontiersin.org
Although the hippocampus plays a critical role in spatial and episodic memories, the
mechanisms underlying memory formation, stabilization, and recall for adaptive behavior …

Stability of motor representations after paralysis

C Guan, T Aflalo, CY Zhang, E Amoruso, ER Rosario… - Elife, 2022 - elifesciences.org
Neural plasticity allows us to learn skills and incorporate new experiences. What happens
when our lived experiences fundamentally change, such as after a severe injury? To …

[HTML][HTML] The Dimensions of dimensionality

BD Roads, BC Love - Trends in Cognitive Sciences, 2024 - cell.com
Cognitive scientists often infer multidimensional representations from data. Whether the data
involve text, neuroimaging, neural networks, or human judgments, researchers frequently …

Concise explanations of neural networks using adversarial training

P Chalasani, J Chen, AR Chowdhury… - International …, 2020 - proceedings.mlr.press
We show new connections between adversarial learning and explainability for deep neural
networks (DNNs). One form of explanation of the output of a neural network model in terms …

Training deep networks to construct a psychological feature space for a natural-object category domain

CA Sanders, RM Nosofsky - Computational Brain & Behavior, 2020 - Springer
Many successful formal models of human categorization have been developed, but these
models have been tested almost exclusively using artificial categories, because deriving …