The coming decade of digital brain research: a vision for neuroscience at the intersection of technology and computing
Abstract: In recent years, brain research has indisputably entered a new epoch, driven by substantial methodological advances and digitally enabled data integration and modelling at multiple scales—from molecules to the whole brain. Major advances are emerging at the intersection of neuroscience with technology and computing. This new science of the brain combines high-quality research, data integration across multiple scales, a new culture of multidisciplinary large-scale collaboration, and translation into applications. As pioneered in Europe’s Human Brain Project (HBP), a systematic approach will be essential for meeting the coming decade’s pressing medical and technological challenges. The aims of this paper are to: develop a concept for the coming decade of digital brain research, discuss this new concept with the research community at large, identify points of convergence, and derive therefrom scientific common goals; provide a scientific framework for the current and future development of EBRAINS, a research infrastructure resulting from the HBP’s work; inform and engage stakeholders, funding organisations and research institutions regarding future digital brain research; identify and address the transformational potential of comprehensive brain models for artificial intelligence, including machine learning and deep learning; outline a collaborative approach that integrates reflection, dialogues, and societal engagement on ethical and societal opportunities and challenges as part of future neuroscience research
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Imaging neuroscience. - 2 (2024) , 1-35, ISSN: 2837-6056
- Ereignis
-
Veröffentlichung
- (wo)
-
Freiburg
- (wer)
-
Universität
- (wann)
-
2024
- Urheber
- DOI
-
10.1162/imag_a_00137
- URN
-
urn:nbn:de:bsz:25-freidok-2534370
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:59 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Amunts, Katrin
- Rotter, Stefan
- Zaborszky, Laszlo
- Universität
Entstanden
- 2024
Ähnliche Objekte (12)
Wechselwirkende stochastische Punktprozesse als Modell für neuronale Aktivität im Neocortex der Säugetiere
NEST Desktop, an Educational Application for Neuroscience
NEST desktop, an educational application for neuroscience
Higher-order correlations in non-stationary parallel spike trains: statistical modeling and inference
Sensory processing in neocortical networks: randomness, specificity and learning
Dynamics of competition between coupled spiking networks in the balanced state
Going beyond Poisson processes: a new statistical framework in neuronal modeling and data analysis
Associative properties of structural plasticity based on firing rate homeostasis in recurrent neuronal networks
The coming decade of digital brain research - A vision for neuroscience at the intersection of technology and computing
The coming decade of digital brain research : A vision for neuroscience at the intersection of technology and computing
Reservoir computing methods for functional identification of biological networks
On the propagation of firing rate and synchrony in a model of cortical network
Wechselwirkende stochastische Punktprozesse als Modell für neuronale Aktivität im Neocortex der Säugetiere
NEST Desktop, an Educational Application for Neuroscience
NEST desktop, an educational application for neuroscience
Higher-order correlations in non-stationary parallel spike trains: statistical modeling and inference
Sensory processing in neocortical networks: randomness, specificity and learning
Dynamics of competition between coupled spiking networks in the balanced state
Going beyond Poisson processes: a new statistical framework in neuronal modeling and data analysis
Associative properties of structural plasticity based on firing rate homeostasis in recurrent neuronal networks
The coming decade of digital brain research - A vision for neuroscience at the intersection of technology and computing
The coming decade of digital brain research : A vision for neuroscience at the intersection of technology and computing
Reservoir computing methods for functional identification of biological networks
On the propagation of firing rate and synchrony in a model of cortical network
Wechselwirkende stochastische Punktprozesse als Modell für neuronale Aktivität im Neocortex der Säugetiere
NEST Desktop, an Educational Application for Neuroscience
NEST desktop, an educational application for neuroscience
Higher-order correlations in non-stationary parallel spike trains: statistical modeling and inference
Sensory processing in neocortical networks: randomness, specificity and learning
Dynamics of competition between coupled spiking networks in the balanced state
Going beyond Poisson processes: a new statistical framework in neuronal modeling and data analysis
Associative properties of structural plasticity based on firing rate homeostasis in recurrent neuronal networks
The coming decade of digital brain research - A vision for neuroscience at the intersection of technology and computing
The coming decade of digital brain research : A vision for neuroscience at the intersection of technology and computing
Reservoir computing methods for functional identification of biological networks