Help Privacy Policy Disclaimer
  Advanced SearchBrowse


  Hierarchy of information processing in the brain: A novel ‘intrinsic ignition’ framework

Deco, G., & Kringelbach, M. L. (2017). Hierarchy of information processing in the brain: A novel ‘intrinsic ignition’ framework. Neuron, 94(5), 961-968. doi:10.1016/j.neuron.2017.03.028.

Item is


show hide
Genre: Journal Article


show Files




Deco, Gustavo1, 2, 3, 4, Author              
Kringelbach, Morten L.5, 6, 7, Author
1Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
2Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
3Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634551              
4School of Psychological Sciences, Monash University, Melbourne, Australia, ou_persistent22              
5Department of Psychiatry, University of Oxford, United Kingdom, ou_persistent22              
6Center for Music in the Brain, Aarhus University, Denmark, ou_persistent22              
7Institut d’études avancées de Paris, France, ou_persistent22              


Free keywords: Whole-brain modeling; Ignition; Brain state; Brain function; Perturbation; Computational modeling; Binding
 Abstract: A general theory of brain function has to be able to explain local and non-local network computations over space and time. We propose a new framework to capture the key principles of how local activity influences global computation, i.e., describing the propagation of information and thus the broadness of communication driven by local activity. More specifically, we consider the diversity in space (nodes or brain regions) over time using the concept of intrinsic ignition, which are naturally occurring intrinsic perturbations reflecting the capability of a given brain area to propagate neuronal activity to other regions in a given brain state. Characterizing the profile of intrinsic ignition for a given brain state provides insight into the precise nature of hierarchical information processing. Combining this data-driven method with a causal whole-brain computational model can provide novel insights into the imbalance of brain states found in neuropsychiatric disorders.


Language(s): eng - English
 Dates: 2017-06-092017-06-07
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neuron.2017.03.028
PMID: 28595052
 Degree: -



Legal Case


Project information

show hide
Project name : The Dynamical and Structural Basis of Human Mind Complexity: Segregation and Integration of Information and Processing in the Brain / DYSTRUCTURE
Grant ID : 295129
Funding program : Funding Programme 7
Funding organization : European Commission (EC)
Project name : Spanish National Project Complexity of Brain States
Grant ID : PSI2016-75688-P
Funding program : -
Funding organization : Spanish Research Agency (AEI) and the European Regional Development Fund (ERDF)
Project name : Human Brain Project Specific Grant Agreement 1 / HBP SGA1
Grant ID : -
Funding program : Horizon 2020
Funding organization : European Commission (EC)
Project name : The plasticity of parental caregiving: characterizing the brain mechanisms underlying normal and disrupted development of parenting / CAREGIVING
Grant ID : -
Funding program : Funding Programme 7
Funding organization : European Commission (EC)
Project name : -
Grant ID : DNRF117
Funding program : -
Funding organization : Danish National Research Foundation

Source 1

Title: Neuron
Source Genre: Journal
Publ. Info: Cambridge, Mass. : Cell Press
Pages: - Volume / Issue: 94 (5) Sequence Number: - Start / End Page: 961 - 968 Identifier: ISSN: 0896-6273
CoNE: https://pure.mpg.de/cone/journals/resource/954925560565