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Exposing individual differences through network topology [article]

Yuval Samoilov-Katz, Yoram Louzoun, Lev Muchnik, Adam Zaidel
2022 arXiv   pre-print
Closeness, a global topological measure of network centrality, was significantly higher for bloggers associated with plasticity (vs. stability).  ...  However, personality differences naturally manifest in social interactions such as online social networks.  ...  Introduction Each individual (human and animal) has his/her own unique characteristics, formed by a combination of both nature and nurture 1, 2 .  ... 
arXiv:2106.13672v2 fatcat:bv6qvehmtndy5nowc7mvmim6nq

The effects of music on brain functional networks: A network analysis

J. Wu, J. Zhang, X. Ding, R. Li, C. Zhou
2013 Neuroscience  
There is increasing evidence for small-world configurations in structural networks of animals Zwi, 2004, Sporns et al., 2007) .  ...  For each original graph, network parameters are assessed and averaged over the ensemble of surrogate graphs, resulting in C W -s and L W -s.  ...   Differences in network structure were not observed between musical stimuli.  The results further supported reorganization of brain networks for music listening.  ... 
doi:10.1016/j.neuroscience.2013.06.021 pmid:23806719 fatcat:jplcpsieszhshkusdjvtdnzksa

Eco-evo-devo and iterated learning: towards an integrated approach in the light of niche construction

José Segovia-Martín, Sergio Balari
2020 Biology & Philosophy  
yield specific properties, such as language structure.  ...  We use the concept of niche construction to connect evolutionary developmental accounts for sensory guided motor capacities and cultural evolution guided by iterated learning models.  ...  We thank Mónica Tamariz (Heriot-Watt University), Asha Sato (University of Edinburgh) and our colleagues from the Centre for Language Evolution (University of Edinburgh).  ... 
doi:10.1007/s10539-020-09761-3 fatcat:tnk7bsrmrvgh3omqqzizvykwyq

Sculpting the Intrinsic Modular Organization of Spontaneous Brain Activity by Art

Chia-Shu Lin, Yong Liu, Wei-Yuan Huang, Chia-Feng Lu, Shin Teng, Tzong-Ching Ju, Yong He, Yu-Te Wu, Tianzi Jiang, Jen-Chuen Hsieh, Dante R. Chialvo
2013 PLoS ONE  
Using a graph-based network analysis, we focused on the art-related changes of modular organization and functional hubs in the resting-state functional connectivity network.  ...  We show that even in the resting state, this type of extraordinary and long-lasting training can macroscopically imprint a neural network system of spontaneous activity in which the related brain regions  ...  Professional artists, however, are unique study subjects for human brain neuroplasticity, whose nurturing mandates long-term training which in turn may render his brain in the form of a network system,  ... 
doi:10.1371/journal.pone.0066761 pmid:23840527 pmcid:PMC3694132 fatcat:w4bz4zlo6rattldplqgbk6xheu

Anatomical Distance Affects Functional Connectivity in Patients With Schizophrenia and Their Siblings

S. Guo, L. Palaniyappan, B. Yang, Z. Liu, Z. Xue, J. Feng
2013 Schizophrenia Bulletin  
While siblings show some evidence of compensating for this deficit, patients lack putative compensatory changes.  ...  A crucial developmental feature that occurs in normal adolescence is the weakening of ADF, which is characterized by a selective strengthening of long-distance connections.  ...  Acknowledgments Dr Yang, Dr Liu, and Dr Xue collected the data from Xiangya hospital, and they had full access to the data in the study and take responsibility for the integrity of the data and the accuracy  ... 
doi:10.1093/schbul/sbt163 pmid:24282323 pmcid:PMC3932090 fatcat:pvmhbmvdavfgxpziwtlqehek7a

Neural correlates of motor impairment during motor imagery and motor execution in sub-cortical stroke

Wan-Wa Wong, Suk-Tak Chan, Kwok-Wing Tang, Fei Meng, Kai-Yu Tong
2013 Brain Injury  
Using a large-scale complex network approach based on graph theory facilitates the identification of organizational patterns in brain network and thus enable interpretation.  ...  Other recommendations for future research are: attention to participant recruitment, use of histological/biochemical techniques, and combination of sMRI and task-free/task-related fMRIs.  ...  Information is mainly of auditory nature for musicians and of visual and proprioceptive nature for athletes.  ... 
doi:10.3109/02699052.2013.771796 pmid:23514275 fatcat:k6xgsniqfjcvvjzxfrty4n3rcu

Random Fields in Physics, Biology and Data Science

Enrique Hernández-Lemus
2021 Frontiers in Physics  
Also in computational molecular biology, ecology, structural biology, computer vision, control theory, complex networks and data science, to name but a few.  ...  A random field is the representation of the joint probability distribution for a set of random variables.  ...  The networked nature of the domain of signals embedded in a graph, allows the use of spectral graph theoretical methods for signal processing [188] [189] [190] .  ... 
doi:10.3389/fphy.2021.641859 fatcat:2bi74vqkureefmtzwinma2yiwq

Genesis of Organic Computing Systems: Coupling Evolution and Learning [chapter]

Christian Igel, Bernhard Sendhoff
2009 Understanding Complex Systems  
In organic computing, simulated evolutionary structure optimization can create artificial neural networks for particular environments.  ...  It is demonstrated how neural structures can be evolved that efficiently learn solutions for problems from a particular problem class.  ...  Acknowledgments Christian Igel acknowledges support from the German Federal Ministry of Education and Research within the Bernstein group "The grounding of higher brain function in dynamic neural fields  ... 
doi:10.1007/978-3-540-77657-4_7 fatcat:v54a6do2zzhvhm2677wgpz6vhe

Network Neuroscience and Personality

Sebastian Markett, Christian Montag, Martin Reuter
2018 Personality Neuroscience  
Here, we propose that personality neuroscience can be advanced by adding a network perspective on brain structure and function, an endeavor that we label personality network neuroscience.With the rise  ...  of resting-state functional magnetic resonance imaging (MRI), the establishment of connectomics as a theoretical framework for structural and functional connectivity modeling, and recent advancements in  ...  It is within the human brain where nature and nurture meet.  ... 
doi:10.1017/pen.2018.12 pmid:32435733 pmcid:PMC7219685 fatcat:tqp7zly4frgpnmmf6dsisy42em

Schrödinger's Tree – On Syntax and Neural Language Models [article]

Artur Kulmizev, Joakim Nivre
2021 arXiv   pre-print
In the last half-decade, the field of natural language processing (NLP) has undergone two major transitions: the switch to neural networks as the primary modeling paradigm and the homogenization of the  ...  Ultimately, we hope that our discussion adds nuance to the prospect of studying language models and paves the way for a less monolithic perspective on syntax in this context.  ...  Directly or not, such debates revolve around the controversial poverty of the stimulus argument (Lasnik and Lidz 2017)-linguistics' own spin on psychology's nature vs. nurture debate -where the human capacity  ... 
arXiv:2110.08887v1 fatcat:gpnrqctxavbpngy4mumwryv4mi

Prefrontal cortex and flexible cognitive control: Rules without symbols

N. P. Rougier, D. C. Noelle, T. S. Braver, J. D. Cohen, R. C. O'Reilly
2005 Proceedings of the National Academy of Sciences of the United States of America  
We show how this can occur when a set of PFC-specific neural mechanisms interact with breadth of experience to self organize abstract rule-like PFC representations that support flexible generalization  ...  We thank Carlos Brody, Tim Curran, Michael Frank, Tom Hazy, Dave Jilk, Ken Norman, Yuko Munakata, Alex Petrov, and members of the Computational Cognitive Neuroscience lab for helpful comments.  ...  Thus, the model illustrates how nature and nurture can interact to produce human cognitive abilities.  ... 
doi:10.1073/pnas.0502455102 pmid:15883365 pmcid:PMC1129132 fatcat:dovcgd5p5nci3npzodkhvjtdoq

Patterns of Brain Activation when Mothers View Their Own Child and Dog: An fMRI Study

Luke E. Stoeckel, Lori S. Palley, Randy L. Gollub, Steven M. Niemi, Anne Eden Evins, Marina Pavlova
2014 PLoS ONE  
than the own vs. unfamiliar dog comparison for arousal.  ...  Neural substrates underlying the human-pet relationship are largely unknown.  ...  Joanne Morris for their thoughtful input on study design, Rosa Spaeth and Alexandra Cheetham for imaging study on statistical methods and tools, Ms.  ... 
doi:10.1371/journal.pone.0107205 pmid:25279788 pmcid:PMC4184794 fatcat:4tsfjl5hjne4xd4rrpmsbp6h4i

Deep Reinforcement Learning [article]

Yuxi Li
2018 arXiv   pre-print
Next we discuss RL core elements, including value function, policy, reward, model, exploration vs. exploitation, and representation.  ...  Then we discuss important mechanisms for RL, including attention and memory, unsupervised learning, hierarchical RL, multi-agent RL, relational RL, and learning to learn.  ...  The authors present an implementation with centralized training for decentralized execution, as discussed below. The authors experiment with grid world coordination, a partially observable game,  ... 
arXiv:1810.06339v1 fatcat:kp7atz5pdbeqta352e6b3nmuhy

MMDF2018 Workshop Report [article]

Chun-An Chou, Xiaoning Jin, Amy Mueller, Sarah Ostadabbas
2018 arXiv   pre-print
Driven by the recent advances in smart, miniaturized, and mass produced sensors, networked systems, and high-speed data communication and computing, the ability to collect and process larger volumes of  ...  better data analysis tools across all sectors, therein enabling more efficient and effective automated manufacturing, patient care, infrastructure maintenance, environmental understanding, transportation networks  ...  Bean and Vice-Provost for Research and Professor Arthur F.  ... 
arXiv:1808.10721v1 fatcat:w4pmt5vqgvcn7nltkisitjpyam

A Large-Scale Structural and Functional Connectome of Social Mentalizing [article]

Yin Wang, Athanasia Metoki, Yunman Xia, Yinyin Zang, Yong He, Ingrid R Olson
2020 bioRxiv   pre-print
Key features of the mentalizing connectome have been delineated in exquisite detail and its relationship with the default mode network has been extensively scrutinized.  ...  from the default mode network and other social brain networks.  ...  Complex brain networks: graph theoretical analysis of structural and .  ... 
doi:10.1101/2020.11.27.400929 fatcat:hj5f3ch7a5avlosmrxu6jkea6e
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