Author

Mattia Eluchans

National Research CouncilORCID 0000-0002-5151-3055Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Animal Behavior & Cognition· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Approach:statistical model· 2 Assay:behavioral assay· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Assay:imaging· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

Gian Luca LanciaiD· 3 shared Giovanni PezzuloiD· 3 shared Antonella MaselliiD· 2 shared Marco D’AlessandroiD· 2 shared Hugo J. SpiersiD· 1 shared Jeremy Raboff GordoniD· 1 shared Miguel Ibáñez-BerganzaiD· 1 shared

Activity by Year

2025-2025 · peak 3/yr

Co-Author Collaboration Network

7 top collaborators · 17 mutual co-author links

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3 shared papersAnimal Behavior & Cognition

Gian Luca LanciaORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Separable cognitive and motor decline tracked across adult life-span for goal-directed navigation

Gian Luca Lancia, Marco D’Alessandro, Mattia Eluchans, Miguel Ibáñez-Berganza, Hugo J. Spiers, Giovanni Pezzulo

This study tracks cognitive and motor decline in spatial navigation across the adult lifespan using data from a video game, showing age-related declines in both domains without a shift to alternative strategies.

iScience · Aug 26, 2025Peer-reviewedAnimal Behavior & Cognition

Eye and hand coarticulation during problem solving reveals hierarchically organized planning

Mattia Eluchans, Antonella Maselli, Gian Luca Lancia, Giovanni Pezzulo

This study examines how participants coordinate eye and hand movements during problem-solving tasks, revealing hierarchical planning strategies through coarticulation in gaze and cursor movements.

Journal of Neurophysiology · Aug 21, 2025Peer-reviewedAnimal Behavior & Cognition

Adaptive planning depth in human problem solving

Mattia Eluchans, Gian Luca Lancia, Antonella Maselli, Marco D’Alessandro, Jeremy Raboff Gordon, Giovanni Pezzulo

The paper investigates how humans adaptively use cognitive resources in problem-solving tasks requiring different planning depths, finding they select minimum required depths rather than fixed depths.

Royal Society Open Science · Apr 1, 2025Peer-reviewedNeuroscience