Modular-integrative modeling: a new framework for building brain models that blend biological realism and functional performance-Reference-Cited by-同舟云学术

Modular-integrative modeling: a new framework for building brain models that blend biological realism and functional performance

Published:2023-12-20 Issue: Volume: Page:
ISSN:2095-5138
Container-title:National Science Review
language:en
Short-container-title:

Author:

Senden Mario¹²^ORCID,van Albada Sacha J³⁴,Pezzulo Giovanni⁵,Falotico Egidio⁶,Hashim Ibrahim¹²,Kroner Alexander¹²,Kurth Anno C³⁷,Lanillos Pablo⁸,Narayanan Vaishnavi¹²,Pennartz Cyriel⁹,Petrovici Mihai A¹⁰,Steffen Lea¹¹,Weidler Tonio¹²,Goebel Rainer¹²

Affiliation:

1. Department of Cognitive Neuroscience, Maastricht University , The Netherlands

2. Maastricht Brain Imaging Centre, Maastricht University , The Netherlands

3. Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA-Institut Brain Structure-Function Relationships (INM-10), Jülich Research Center , Germany

4. Institute of Zoology, University of Cologne , Germany

5. Institute of Cognitive Sciences and Technologies, National Research Council , Italy

6. The BioRobotics Institute, Scuola Superiore Sant’Anna , Italy

7. RWTH Aachen University , Germany

8. Donders Institute for Brain, Cognition and Behavior, Radboud University , The Netherlands

9. Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, University of Amsterdam , The Netherlands

10. Department of Physiology, University of Bern , Switzerland

11. FZI Research Center of Information Technology , Germany

Abstract

This Perspective presents the Modular-Integrative Modeling approach, a novel framework in neuroscience for developing brain models that blend biological realism with functional performance to provide a holistic view on brain function in interaction with the body and environment.

Funder

Horizon 2020 Framework Programme for Research and Innovation

Publisher

Oxford University Press (OUP)

Subject

Multidisciplinary

Link

https://academic.oup.com/nsr/advance-article-pdf/doi/10.1093/nsr/nwad318/55555898/nwad318.pdf

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