Dark control: The default mode network as a reinforcement learning agent-Reference-Cited by-同舟云学术

Dark control: The default mode network as a reinforcement learning agent

Published:2020-06-05 Issue:12 Volume:41 Page:3318-3341
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Hum Brain Mapp

Author:

Dohmatob Elvis¹²³,Dumas Guillaume⁴⁵⁶⁷^ORCID,Bzdok Danilo⁸⁹

Affiliation:

1. Criteo AI Lab Paris France

2. INRIA, Parietal Team Saclay France

3. Neurospin, CEA Gif‐sur‐Yvette France

4. Institut Pasteur, Human Genetics and Cognitive Functions Unit Paris France

5. CNRS UMR 3571 Genes, Synapses and Cognition, Institut Pasteur Paris France

6. University Paris Diderot, Sorbonne Paris Cité Paris France

7. Centre de Bioinformatique, Biostatistique et Biologie Intégrative Paris France

8. Department of Biomedical Engineering, McConnell Brain Imaging Centre, Montreal Neurological Institute, Faculty of Medicine, School of Computer ScienceMcGill University Montreal Canada

9. Mila—Quebec Artificial Intelligence Institute Montreal Canada

Funder

Innovative Medicines Initiative

Seventh Framework Programme

Studienstiftung des Deutschen Volkes

Canada First Research Excellence Fund

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.25019

Reference233 articles.

1. Apprenticeship learning via inverse reinforcement learning

2. Algorithmic trading in a microstructural limit order book model

3. A Coordinate-Based Meta-Analysis of Overlaps in Regional Specialization and Functional Connectivity across Subjective Value and Default Mode Networks

5. Computing the Social Brain Connectome Across Systems and States

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