Cognitive and plastic recurrent neural network clock model for the judgment of time and its variations
Abstract The aim of this study in the field of computational neurosciences was to simulate and predict inter-individual variability in time judgements with different neuropsychological properties. We propose and test a Simple Recurrent Neural Network-based clock model that is able to account for int...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-03-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-30894-4 |
| _version_ | 1797864830666801152 |
|---|---|
| author | Quentin Hallez Martial Mermillod Sylvie Droit-Volet |
| author_facet | Quentin Hallez Martial Mermillod Sylvie Droit-Volet |
| author_sort | Quentin Hallez |
| collection | DOAJ |
| description | Abstract The aim of this study in the field of computational neurosciences was to simulate and predict inter-individual variability in time judgements with different neuropsychological properties. We propose and test a Simple Recurrent Neural Network-based clock model that is able to account for inter-individual variability in time judgment by adding four new components into the clock system: the first relates to the plasticity of the neural system, the second to the attention allocated to time, the third to the memory of duration, and the fourth to the learning of duration by iteration. A simulation with this model explored its fit with participants’ time estimates in a temporal reproduction task undertaken by both children and adults, whose varied cognitive abilities were assessed with neuropsychological tests. The simulation successfully predicted 90% of temporal errors. Our Cognitive and Plastic RNN-Clock model (CP-RNN-Clock), that takes into account the interference arising from a clock system grounded in cognition, was thus validated. |
| first_indexed | 2024-04-09T22:58:20Z |
| format | Article |
| id | doaj.art-59c1f791540f439489c99567ac54b120 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-09T22:58:20Z |
| publishDate | 2023-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-59c1f791540f439489c99567ac54b1202023-03-22T11:07:21ZengNature PortfolioScientific Reports2045-23222023-03-0113111410.1038/s41598-023-30894-4Cognitive and plastic recurrent neural network clock model for the judgment of time and its variationsQuentin Hallez0Martial Mermillod1Sylvie Droit-Volet2Université Lumière Lyon 2, Laboratoire Développement, Individu, Processus, Handicap, Éducation (DIPHE)Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNCUniversité Clermont Auvergne, CNRS, LAPSCOAbstract The aim of this study in the field of computational neurosciences was to simulate and predict inter-individual variability in time judgements with different neuropsychological properties. We propose and test a Simple Recurrent Neural Network-based clock model that is able to account for inter-individual variability in time judgment by adding four new components into the clock system: the first relates to the plasticity of the neural system, the second to the attention allocated to time, the third to the memory of duration, and the fourth to the learning of duration by iteration. A simulation with this model explored its fit with participants’ time estimates in a temporal reproduction task undertaken by both children and adults, whose varied cognitive abilities were assessed with neuropsychological tests. The simulation successfully predicted 90% of temporal errors. Our Cognitive and Plastic RNN-Clock model (CP-RNN-Clock), that takes into account the interference arising from a clock system grounded in cognition, was thus validated.https://doi.org/10.1038/s41598-023-30894-4 |
| spellingShingle | Quentin Hallez Martial Mermillod Sylvie Droit-Volet Cognitive and plastic recurrent neural network clock model for the judgment of time and its variations Scientific Reports |
| title | Cognitive and plastic recurrent neural network clock model for the judgment of time and its variations |
| title_full | Cognitive and plastic recurrent neural network clock model for the judgment of time and its variations |
| title_fullStr | Cognitive and plastic recurrent neural network clock model for the judgment of time and its variations |
| title_full_unstemmed | Cognitive and plastic recurrent neural network clock model for the judgment of time and its variations |
| title_short | Cognitive and plastic recurrent neural network clock model for the judgment of time and its variations |
| title_sort | cognitive and plastic recurrent neural network clock model for the judgment of time and its variations |
| url | https://doi.org/10.1038/s41598-023-30894-4 |
| work_keys_str_mv | AT quentinhallez cognitiveandplasticrecurrentneuralnetworkclockmodelforthejudgmentoftimeanditsvariations AT martialmermillod cognitiveandplasticrecurrentneuralnetworkclockmodelforthejudgmentoftimeanditsvariations AT sylviedroitvolet cognitiveandplasticrecurrentneuralnetworkclockmodelforthejudgmentoftimeanditsvariations |