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System-level brain modeling

Johansson, Birger LU orcid ; Tjøstheim, Trond A. LU and Balkenius, Christian LU orcid (2025) In Frontiers in Computational Neuroscience
Abstract
System-level brain modeling is a powerful method for building computational models of the brain and allows biologically motivated models to produce measurable behavior that can be tested against empirical data. System-level brain models occupy an intermediate position between detailed neuronal circuit models and abstract cognitive models. They are distinguished by their structural and functional resemblance to the brain, while also allowing for thorough testing and evaluation. In designing system-level brain models, several questions need to be addressed. What are the components of the system? At what level should these components be modeled? How are the components connected— that is, what is the structure of the system? What is the... (More)
System-level brain modeling is a powerful method for building computational models of the brain and allows biologically motivated models to produce measurable behavior that can be tested against empirical data. System-level brain models occupy an intermediate position between detailed neuronal circuit models and abstract cognitive models. They are distinguished by their structural and functional resemblance to the brain, while also allowing for thorough testing and evaluation. In designing system-level brain models, several questions need to be addressed. What are the components of the system? At what level should these components be modeled? How are the components connected— that is, what is the structure of the system? What is the function of each component? What kind of information flows between the components, and how is that information coded? We mainly address models of cognitive abilities or subsystems that produce measurable behavior rather than models that to reproduce internal states, signals or activation patterns. In this method paper, we argue that system-level modeling is an excellent method for addressing complex cognitive and behavioral phenomena.
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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
computational brain models, system-level, real-time, robotics, Modeling
in
Frontiers in Computational Neuroscience
pages
16 pages
publisher
Frontiers Media S. A.
ISSN
1662-5188
DOI
10.3389/fncom.2025.1607239
language
English
LU publication?
yes
id
fba9b6eb-8aa3-4cd9-942d-aeb8e6f2912e
date added to LUP
2025-07-16 08:24:04
date last changed
2025-07-18 11:05:39
@article{fba9b6eb-8aa3-4cd9-942d-aeb8e6f2912e,
  abstract     = {{System-level brain modeling is a powerful method for building computational models of the brain and allows biologically motivated models to produce measurable behavior that can be tested against empirical data. System-level brain models occupy an intermediate position between detailed neuronal circuit models and abstract cognitive models. They are distinguished by their structural and functional resemblance to the brain, while also allowing for thorough testing and evaluation. In designing system-level brain models, several questions need to be addressed. What are the components of the system? At what level should these components be modeled? How are the components connected— that is, what is the structure of the system? What is the function of each component? What kind of information flows between the components, and how is that information coded? We mainly address models of cognitive abilities or subsystems that produce measurable behavior rather than models that to reproduce internal states, signals or activation patterns. In this method paper, we argue that system-level modeling is an excellent method for addressing complex cognitive and behavioral phenomena.<br/>}},
  author       = {{Johansson, Birger and Tjøstheim, Trond A. and Balkenius, Christian}},
  issn         = {{1662-5188}},
  keywords     = {{computational brain models; system-level; real-time; robotics; Modeling}},
  language     = {{eng}},
  month        = {{07}},
  publisher    = {{Frontiers Media S. A.}},
  series       = {{Frontiers in Computational Neuroscience}},
  title        = {{System-level brain modeling}},
  url          = {{http://dx.doi.org/10.3389/fncom.2025.1607239}},
  doi          = {{10.3389/fncom.2025.1607239}},
  year         = {{2025}},
}