Learning from large scale neural simulations

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

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Learning from large scale neural simulations. / Serban, Maria.

Modeling brains: The making and use of models in neuroscience and psychiatry . Amsterdam : Elsevier, 2017. p. 129-148.

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Harvard

Serban, M 2017, Learning from large scale neural simulations. in Modeling brains: The making and use of models in neuroscience and psychiatry . Elsevier, Amsterdam, pp. 129-148.

APA

Serban, M. (2017). Learning from large scale neural simulations. In Modeling brains: The making and use of models in neuroscience and psychiatry (pp. 129-148). Elsevier.

Vancouver

Serban M. Learning from large scale neural simulations. In Modeling brains: The making and use of models in neuroscience and psychiatry . Amsterdam: Elsevier. 2017. p. 129-148

Author

Serban, Maria. / Learning from large scale neural simulations. Modeling brains: The making and use of models in neuroscience and psychiatry . Amsterdam : Elsevier, 2017. pp. 129-148

Bibtex

@inbook{50d4643a02464958adc4c8d8a5989815,
title = "Learning from large scale neural simulations",
abstract = "Large-scale neural simulations have the marks of a distinct methodology which can be fruitfully deployed to advance scientific understanding of the human brain. Computer simulation studies can be used to produce surrogate observational data for better conceptual models and new how-possibly explanations of neural and cognitive phenomena, or they can be used to test explanatory hypotheses and identify sufficient causal factors in specific neurobiological mechanisms, or yet again they can be deployed exploratorily to evaluate the hierarchy of multiple neural and cognitive models that are put forward at different spatio-temporal and organizational scales.",
keywords = "Faculty of Humanities, computer simulations, brain science",
author = "Maria Serban",
year = "2017",
language = "English",
isbn = "9780128042151",
pages = "129--148",
booktitle = "Modeling brains: The making and use of models in neuroscience and psychiatry",
publisher = "Elsevier",
address = "Netherlands",

}

RIS

TY - CHAP

T1 - Learning from large scale neural simulations

AU - Serban, Maria

PY - 2017

Y1 - 2017

N2 - Large-scale neural simulations have the marks of a distinct methodology which can be fruitfully deployed to advance scientific understanding of the human brain. Computer simulation studies can be used to produce surrogate observational data for better conceptual models and new how-possibly explanations of neural and cognitive phenomena, or they can be used to test explanatory hypotheses and identify sufficient causal factors in specific neurobiological mechanisms, or yet again they can be deployed exploratorily to evaluate the hierarchy of multiple neural and cognitive models that are put forward at different spatio-temporal and organizational scales.

AB - Large-scale neural simulations have the marks of a distinct methodology which can be fruitfully deployed to advance scientific understanding of the human brain. Computer simulation studies can be used to produce surrogate observational data for better conceptual models and new how-possibly explanations of neural and cognitive phenomena, or they can be used to test explanatory hypotheses and identify sufficient causal factors in specific neurobiological mechanisms, or yet again they can be deployed exploratorily to evaluate the hierarchy of multiple neural and cognitive models that are put forward at different spatio-temporal and organizational scales.

KW - Faculty of Humanities

KW - computer simulations

KW - brain science

M3 - Book chapter

SN - 9780128042151

SP - 129

EP - 148

BT - Modeling brains: The making and use of models in neuroscience and psychiatry

PB - Elsevier

CY - Amsterdam

ER -

ID: 172264290