19 papers · ranked by Valyu relevance
Birger Johansson, Trond A. Tjøstheim, Christian Balkenius
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…
Gaute T. Einevoll, Alain Destexhe, Markus Diesmann, Sonja Grün + 6 more
'Viktor Jirsa' 'Marc de Kamps' 'Michele Migliore' 'Torbjørn V. Ness' 'Hans Ekkehard Pleßer' 'Felix Schürmann'] 1Faculty of Science and Technology, Norwegian University of Life Sciences, 1432 Ås, Norway 2Department of Physics, University of Oslo, 0316 Oslo, Norway 3Paris-Saclay Institute of Neuroscience (NeuroPSI)…
Abolfazl Ziaeemehr, Marmaduke Woodman, Lia Domide, Spase Petkoski + 2 more
Network neuroscience has proven essential for understanding the principles and mechanisms underlying complex brain (dys)function and cognition. In this context, whole-brain network modeling–also known as virtual brain modeling–combines computational models of brain dynamics (placed at each network node) with individual…
Katrin Amunts, Javier DeFelipe, Cyriel Pennartz, Alain Destexhe + 11 more
'Michele Migliore' 'Philippe Ryvlin' 'Steve Furber' 'Alois Knoll' 'Lise Bitsch' 'Jan G. Bjaalie' 'Yannis Ioannidis' 'Thomas Lippert' 'Maria V. Sanchez-Vives' 'Rainer Goebel' 'Viktor Jirsa'] Title: Visual Abstract
Katrin Amunts, Markus Axer, Swati Banerjee, Lise Bitsch + 102 more
'Jan G. Bjaalie' 'Philipp Brauner' 'Andrea Brovelli' 'Navona Calarco' 'Marcel Carrere' 'Svenja Caspers' 'Christine J. Charvet' 'Sven Cichon' 'Roshan Cools' 'Irene Costantini' 'Egidio Ugo D’Angelo' 'Giulia De Bonis' 'Gustavo Deco' 'Javier DeFelipe' 'Alain Destexhe' 'Timo Dickscheid' 'Markus Diesmann' 'Emrah Düzel'…
Meysam Hashemi, Damien Depannemaecker, Marisa Saggio, Paul Triebkorn + 11 more
Current clinical methods often overlook individual variability by relying on population-wide trials, while mechanism-based trials remain underutilized in neuroscience due to the brain’s complexity. A Virtual Brain Twin (VBT) is a personalized digital replica of an individual’s brain, integrating structural and…
Luis Irastorza-Valera, Edgar Soria-Gómez, José María Benitez, Francisco J. Montáns + 3 more
'Francisco J. Montáns' 'Luis Saucedo-Mora' 'Vicente Javier Clemente-Suárez' 'Ana Isabel Beltrán-Velasco'] The brain is the most complex organ in the human body and, as such, its study entails great challenges (methodological, theoretical, etc.). Nonetheless, there is a remarkable amount of studies about the…
Leon Martin, Konstantin Bülau, Marius Pille, Rico Schmitt + 7 more
Computational models of brain network dynamics offer mechanistic insights into brain function and disease, and are utilized for hypothesis generation, data interpretation, and the creation of personalized digital brain twins. However, results remain difficult to reproduce and compare because equations, parameters…
Andreas Spiegler, Javad Karimi Abadchi, Majid Mohajerani, Viktor K. Jirsa
Sensory and direct stimulation of the brain probes its functional repertoire and the information processing capacity of networks. However, a systematic exploration can only be performed in silico. Stimulation takes the system out of its attractor states and samples the environment of the flow to gain insight into the…
Mahta Ramezanian Panahi, Germán Abrevaya, Jean-Christophe Gagnon-Audet, Vikram Voleti + 2 more
'Jean-Christophe Gagnon-Audet' 'Vikram Voleti' 'Irina Rish' 'Guillaume Dumas'] The principled design and discovery of biologically- and physically-informed models of neuronal dynamics has been advancing since the mid-twentieth century. Recent developments in artificial intelligence (AI) have accelerated this progress.…
Kendrick N. Kay, Kevin S. Weiner
The goal of cognitive neuroscience is to understand how mental operations are performed by the brain. Given the complexity of the brain, this is a challenging endeavor that requires the development of formal models. Here, we provide a perspective on models of neural information processing in cognitive neuroscience. We…
Inês Hipólito
This paper proposes an account of neurocognitive activity without leveraging the notion of neural representation. Neural representation is a concept that results from assuming that the properties of the models used in computational cognitive neuroscience (e.g., information, representation, etc.) must literally exist…
Hui Xiong, Congying Chu, Lingzhong Fan, Ming Song + 6 more
'Yawei Ma' 'Ruonan Zheng' 'Junyang Zhang' 'Zhengyi Yang' 'Tianzi Jiang'] In recent years, advances in neuroscience and artificial intelligence have paved the way for unprecedented opportunities for understanding the complexity of the brain and its emulation by computational systems. Cutting-edge advancements in…
Nikolaus Kriegeskorte, Pamela K. Douglas
To learn how cognition is implemented in the brain, we must build computational models that can perform cognitive tasks, and test such models with brain and behavioral experiments. Cognitive science has developed computational models of human cognition, decomposing task performance into computational components.…
Katharina Glomb, Joana Cabral, Anna Cattani, Alberto Mazzoni + 2 more
'Ashish Raj' 'Benedetta Franceschiello'] and predict the outcome of experiments and interactions that are very hard to test in reality. Yet, what is meant by "computational model" is understood in many different ways by researchers in different fields of neuroscience and psychology, hindering communication and…
Iman Ghodratitoostani, Ali‐Mohammad Kamali, Mahshid Tahamtan, Neda Mohammadi + 2 more
'Neda Mohammadi' 'Hadi Aligholi' 'Mohammad Nami'] The integrated neurocognitive rehabilitation platforms (INCRPs) refer to infrastructures and teams integrated for set of interventions which aim to restore, or compensate for cognitive deficits. Cognitive skills may be lost or altered due to brain damage resulting from…
Barry Horwitz, Arpan Banerjee
In the past few decades, clinical research on brain disorders has become enriched by the addition of a number of new tools for characterizing and assessing brain function. Before the 1960s, clinical examination, behavioral observation (including batteries of neuropsychological tests), and electroencephalography (EEG)…
Koichi Handa, Daichi Fujita, Mariko Hirano, Saki Yoshimura + 2 more
Given the aging populations in advanced countries globally, many pharmaceutical companies have focused on developing central nervous system (CNS) drugs. However, due to the blood-brain barrier, drugs do not easily reach the target area in the brain. Although conventional screening methods for drug discovery involve the…
Authors not listed
Current methods for determining the neurotoxic potential of (agro)chemicals are not comprehensive enough, as is suggested by the increased incidence of Parkinson’s disease (PD) amongst people exposed to certain pesticides. Mechanism-based in silico screening can address this shortcoming by predicting molecular…