Author

Luca Manneschi

University of SheffieldORCID 0000-0002-0125-1325Unclaimed ORCID profile · follow to get notified of new preprints

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Neuroscience· 1

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Approach:machine learning (classical)· 1

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Eleni VasilakiiD· 1 shared Guido GiganteiD· 1 shared Paolo Del GiudiceiD· 1 shared

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2022-2022 · peak 1/yr

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1 shared paperNeuroscience

Eleni VasilakiORCID

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1 paper

Recent·Most cited

NeurosciencePLoS Computational BiologyPeer-reviewedAug 5, 2022

Signal neutrality, scalar property, and collapsing boundaries as consequences of a learned multi-time scale strategy

Luca Manneschi, Guido Gigante, Paolo Del Giudice, Eleni Vasilaki

This paper introduces a reinforcement learning agent that exhibits signal neutrality, scalar property, and collapsing boundaries, suggesting these are emergent properties of multi-timescale information processing in decision-making.

1 citation

machine learning (classical)

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