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 …

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 …

On logical inference over brains, behaviour, and artificial neural networks

O Guest, AE Martin - Computational Brain & Behavior, 2023 - Springer
In the cognitive, computational, and neuro-sciences, practitioners often reason about what
computational models represent or learn, as well as what algorithm is instantiated. The …

Toward a computational neuropsychology of cognitive flexibility

A Steinke, B Kopp - Brain Sciences, 2020 - mdpi.com
Cognitive inflexibility is a well-documented, yet non-specific corollary of many neurological
diseases. Computational modeling of covert cognitive processes supporting cognitive …

Pygmalion displacement: when humanising AI dehumanises women

L Erscoi, A Kleinherenbrink, O Guest - 2023 - osf.io
We use the myth of Pygmalion as a lens to investigate and frame the relationship between
women and artificial intelligence (AI). Pygmalion was a legendary ancient king of Cyprus …

Predicting language treatment response in bilingual aphasia using neural network-based patient models

U Grasemann, C Peñaloza, M Dekhtyar… - Scientific Reports, 2021 - nature.com
Predicting language therapy outcomes in bilinguals with aphasia (BWA) remains
challenging due to the multiple pre-and poststroke factors that determine the deficits and …

[PDF][PDF] Resource demands of an implementationist approach to cognition

FG Adolfi, I van Rooij - 2023 - repository.ubn.ru.nl
A core inferential problem in the study of natural and artificial systems is the following: given
access to a neural network, a stimulus and behaviour of interest, and a method of systematic …

A World Without Words: A Non-Lexicalist Framework for Psycho-and Neuro-Linguistics

A Krauska - 2024 - search.proquest.com
In standard models of language production or comprehension, the elements which are
retrieved from memory and combined into a syntactic structure are “lemmas” or “lexical …

[HTML][HTML] Visual features drive the category-specific impairments on categorization tasks in a patient with object agnosia

N Seijdel, HS Scholte, EHF de Haan - Neuropsychologia, 2021 - Elsevier
Object and scene recognition both require mapping of incoming sensory information to
existing conceptual knowledge about the world. A notable finding in brain-damaged patients …

Modeling the regular/irregular dissociation in non-fluent aphasia in a recurrent neural network

A Krauska, NH Feldman - Proceedings of the Annual Meeting of …, 2022 - escholarship.org
In the debate between single-route and dual-route models of verb inflection, the dissociation
between regular and irregular verbs in the non-fluent variety of aphasia has been a key …