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Group Replicator Dynamics: A Novel Group-Wise Evolutionary Approach for Sparse Brain Network Detection
2012
IEEE Transactions on Medical Imaging
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In this paper, we propose a novel technique, "group replicator dynamics" (GRD), for detecting sparse functional brain networks that are common across a group of subjects. ...
We extend the replicator dynamics (RD) approach, which we show to be a solution of the nonnegative sparse principal component analysis problem, by integrating group information into each subject's RD process ...
CONCLUSION We proposed GRD, a novel evolutionary approach for incorporating group information into the replicator dynamics formulation. ...
doi:10.1109/tmi.2011.2173699
pmid:22049362
fatcat:36q565io4va5hmuhbj7gswiiga
A brain basis of dynamical intelligence for AI and computational neuroscience
[article]
2021
arXiv
pre-print
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To motivate a brain basis of neural computation, we present a dynamical view of intelligence from which we elaborate concepts of sparsity in network structure, temporal dynamics, and interactive learning ...
A convergence of AI/CN theories and objectives will reveal dynamical principles of intelligence for brains and engineered learning systems. ...
The resulting weight matrices determine the gains of unit-wise directed connections in a network. ...
arXiv:2105.07284v2
fatcat:ble5h45pk5fczn72dwco2m3rkm
Self-similarity and quasi-idempotence in neural networks and related dynamical systems
2017
Chaos
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This initial study highlights that the form of network self-similarity indexed by quasi-idempotence is detectable in diverse dynamical systems, and draws attention to it as a basis for novel topological ...
Quasi-idempotence was also detected for macro-scale brain networks representing axonal connectivity, synchronization of slow activity fluctuations during idleness and co-activation across experimental ...
, NKI Center for Advanced Brain Imaging (CABI), the Brain Research Foundation (Chicago, IL), and the Stavros Niarchos Foundation. ...
doi:10.1063/1.4981908
pmid:28456152
fatcat:q4pz7k7asvaadeiiplppovkl5y
Biomimetic detection of dynamic signatures in foliage echoes
2021
Bioinspiration & Biomimetics
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The best classification performances were obtained for data that was obtained within a spatially confined area. ...
a sonar head that mimics the dynamic periphery in bats. ...
BIOMIMETIC DETECTION OF DYNAMIC SIGNATURES IN FOLIAGE ECHOESeral dynamics are present in the bat brains and could hence be used by the animals. ...
doi:10.1088/1748-3190/abf910
pmid:33862609
fatcat:nsmjvwchjvgc3cui6i363ygs7q
Selectionist and Evolutionary Approaches to Brain Function: A Critical Appraisal
2012
Frontiers in Computational Neuroscience
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Please see the URL above for details on accessing the published version. ...
the replication of synaptic connectivity patterns within a neuronal group to other brain regions. ...
The demonstration given here that causal inference between one brain region and another that can occur by one network observing the intrinsic dynamics that occurs during sparse stimu-FIGURE A4 | One-, ...
doi:10.3389/fncom.2012.00024
pmid:22557963
pmcid:PMC3337445
fatcat:2mecm6fvdjgw5f5unfsuee55hy
Networks beyond pairwise interactions: Structure and dynamics
2020
Physics reports
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Here we present a complete overview of the emerging field of networks beyond pairwise interactions. ...
Over the past decades, a variety of complex systems has been successfully described as networks whose interacting pairs of nodes are connected by links. ...
''Evolutionary dynamics of group interactions on structured populations: A review'' [608] . ...
doi:10.1016/j.physrep.2020.05.004
fatcat:pkugz4i5obainmcrwod6i4od7q
Networks beyond pairwise interactions: structure and dynamics
[article]
2020
arXiv
pre-print
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Here, we present a complete overview of the emerging field of networks beyond pairwise interactions. ...
Over the past decades, a great variety of complex systems has been successfully described as networks whose interacting pairs of nodes are connected by links. ...
"Evolutionary dynamics of group interactions on structured populations: A review" [547] . ...
arXiv:2006.01764v1
fatcat:h4ezvequxrbyrozpjbb6lbqhj4
Dynamical neural networks: Modeling low-level vision at short latencies
2007
The European Physical Journal Special Topics
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By explicitely defining this efficiency, we propose then a simple implementation of Sparse Spike Coding using greedy inference mechanisms but also how the system may adapt in a unsupervised fashion. ...
Our goal is to understand the dynamics of neural computations in low-level vision. ...
Special thanks to Artemis Kosta for essential comments on this work. ...
doi:10.1140/epjst/e2007-00061-7
fatcat:ljct5ea6bnekrm2zolkx5rx3ky
The structure and dynamics of multilayer networks
2014
Physics reports
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We offer here a comprehensive review on both structural and dynamical organization of graphs made of diverse relationships (layers) between its constituents, and cover several relevant issues, from a full ...
redefinition of the basic structural measures, to understanding how the multilayer nature of the network affects processes and dynamics. ...
132
Nation 2 Nation 1 Nation 1 SatCom Nation 1 UHF Network1 Nation 1 VHF Network Nation 1 UHF Network2 Nation 2 UHF Network Furthermore, a part of the material quoted in our presentation was taken from ...
doi:10.1016/j.physrep.2014.07.001
pmid:32834429
pmcid:PMC7332224
fatcat:5y6wdkop2nd75kwnla4by2icqy
From Dynamic Lesions to Brain Imaging of Behavioral Lesions: Alloying the Gold of Psychoanalysis with the Copper of Suggestion
2010
Neuropsychoanalysis
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Findings from neuroimaging studies, for example, seem to revive the notion of dynamic lesions-focal brain changes undetectable by anatomical scrutiny. ...
Here we show that "behavioral lesions"-the influence that words exert on focal brain activity-may constitute the twenty-first-century appellation of "dynamic lesions." ...
Acknowledgement: Amir Raz would like to thank Joanna Wolfson for help in preparing these responses. The proverbial "we" throughout the text refers to Raz and Wolfson. ...
doi:10.1080/15294145.2010.10773621
fatcat:5kocpd6vbjhfzcg7w4r4e6pm7m
2020 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 31
2020
IEEE Transactions on Neural Networks and Learning Systems
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
-3852 Brain modeling A Brain-Inspired Framework for Evolutionary Artificial General Intelligence.Nadji-Tehrani, M., +, TNNLS Dec. 2020 5257-5271 Brain-computer interfaces Subject-Independent Brain-Computer ...
., +, TNNLS Aug. 2020 2916-2929 Genetic programming A Brain-Inspired Framework for Evolutionary Artificial General Intelli-gence. ...
doi:10.1109/tnnls.2020.3045307
fatcat:34qoykdtarewhdscxqj5jvovqy
Complex network theory and the brain
2014
Philosophical Transactions of the Royal Society of London. Biological Sciences
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Community structure can be described by a modular decomposition of the network as a number of modules that each comprises a group of nodes densely connected to each other but sparsely connected to nodes ...
For instance, a network representation need not be isomorphic to brain anatomy, as it could for example be used to characterize the phase space associated with brain dynamics. ...
doi:10.1098/rstb.2013.0520
pmid:25180300
pmcid:PMC4150297
fatcat:cdmgppxmsnflraujm6lglgoqtq
Copying and Evolution of Neuronal Topology
2008
PLoS ONE
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We propose a mechanism for copying of neuronal networks that is of considerable interest for neuroscience for it suggests a neuronal basis for causal inference, function copying, and natural selection ...
within the human brain. ...
Contributed to discussion w.r.t. implementation details of topology copying in the brain: KKK. ...
doi:10.1371/journal.pone.0003775
pmid:19020662
pmcid:PMC2582483
fatcat:4mqihej5hvcltem5om3jwqoqhe
Brain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine Learning
2021
Computational Intelligence and Neuroscience
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One key for a better understanding of brain mechanisms is to investigate how these fast dynamics emerge on a relatively stable structural backbone. ...
Machine learning techniques have already been established in neuroimaging for identifying functionally independent brain networks and classifying pathological brain states. ...
However, the consistency of identified functional networks across a group of subjects is higher for the hybrid cICA-EMD approach. ...
doi:10.1155/2021/5573740
pmid:34135951
pmcid:PMC8177997
fatcat:2e3soglnl5a6jfmgmpaf566zju
Disentangling common from specific processing across tasks using task potency
2019
NeuroImage
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Using task potency, we demonstrate that cognitive operations are supported by a set of common within-network interactions, supplemented by connections between large-scale networks in order to solve a specific ...
A B S T R A C T When an individual engages in a task, the associated evoked activities build upon already ongoing activity, shaped by an underlying functional connectivity baseline Smith et al., 2009; ...
As such, task potency provides a novel index of efficiency. ...
doi:10.1016/j.neuroimage.2018.09.059
fatcat:trjtzhb2qzea7mu4bhlnryfagu
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