Results 1 to 10 of about 643,416 (317)
Entropy in Brain Networks [PDF]
Entropy, 2021 A thorough and comprehensive understanding of the human brain ultimately depends on knowledge of large-scale brain organization[...]
Jesús Poza +2 more
openaire +3 more sources
Multilayer Brain Networks [PDF]
Journal of Nonlinear Science, 2018 The field of neuroscience is facing an unprecedented expanse in the volume and diversity of available data. Traditionally, network models have provided key insights into the structure and function of the brain. With the advent of big data in neuroscience, both more sophisticated models capable of characterizing the increasing complexity of the data and
Michael Vaiana, Sarah Feldt Muldoon
openaire +3 more sources
Communications Biology, 2022 A comparative analysis on resting-state magnetoencephalography data from healthy controls and patients with chronic pain reveals spectral frequency-specific dysregulation and a temporal imbalance of brain microstates in chronic neuropathic pain.
Camille Fauchon +12 more
doaj +1 more source
Network Embedding For Brain Connectivity [PDF]
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021 In Neurosciences, networks are currently used for representing the brain connections system with the purpose of determining the specific characteristics of the brain itself. However, discriminating between a healthy human brain network and a pathological one using common network descriptors could be misleading.
Carboni, Lucrezia +2 more
openaire +2 more sources
Nature Communications, 2021 The unique biophysical properties of human cortical neurons that may underlie interlaminar communication are explored. With a focus on I h and layers 2&3, 3c, and 5, the authors show that L5 pyramidal neurons are better adapted than their superficial ...
Homeira Moradi Chameh +7 more
doaj +1 more source
Annual Review of Psychology, 2016 The development of new technologies for mapping structural and functional brain connectivity has led to the creation of comprehensive network maps of neuronal circuits and systems. The architecture of these brain networks can be examined and analyzed with a large variety of graph theory tools.
Olaf, Sporns, Richard F, Betzel
openaire +2 more sources
Navigation of brain networks [PDF]
Proceedings of the National Academy of Sciences, 2018 Significance We show that the combination of topology and geometry in mammalian cortical networks allows for near-optimal decentralized communication under navigation routing. Following a simple propagation rule based on local knowledge of the distance between cortical regions, we demonstrate that brain networks can be successfully ...
Seguin, C +2 more
openaire +6 more sources
Advances in Neural Information Processing Systems 35, 2022 Human brains are commonly modeled as networks of Regions of Interest (ROIs) and their connections for the understanding of brain functions and mental disorders. Recently, Transformer-based models have been studied over different types of data, including graphs, shown to bring performance gains widely. In this work, we study Transformer-based models for
Xuan Kan +5 more
openaire +3 more sources
Topological learning for brain networks [PDF]
The Annals of Applied Statistics, 2020 Abstract This paper proposes a novel topological learning framework that can integrate networks of different sizes and topology through persistent homology. This is possible through the introduction of a new topological loss function that enables such challenging task.
Tananun Songdechakraiwut, Moo K. Chung
openaire +3 more sources
Royal Society Open Science, 2023 It is generally believed that time flows in one direction and that a reversal of time's arrow would render the external world non-sensical. We evaluated our ability to tell the direction of time's arrow in a wide range of dynamic scenes in our daily life
Nao Hanyu +2 more
doaj +1 more source