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A Dynamical Clustering Model of Brain Connectivity Inspired by the N-Body Problem
[chapter]
2013
Lecture Notes in Computer Science
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We present a method for studying brain connectivity by simulating a dynamical evolution of the nodes of the network. ...
The nodes are treated as particles, and evolved under a simulated force analogous to gravitational acceleration in the well-known N -body problem. ...
This approach adapts a well known physics-based problem, the N -body simulation for dynamic modeling of particles under physical forces, imposing a dynamic structure on the nodes of the brain network. ...
doi:10.1007/978-3-319-02126-3_13
pmid:25340177
pmcid:PMC4203319
fatcat:ybavtkwnenazrf4ov5o5kqovfa
Neuronal Correlation Parameter and the Idea of Thermodynamic Entropy of an N-Body Gravitationally Bounded System
[chapter]
2017
Advances in Experimental Medicine and Biology
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The description of the dynamical brain system, through a global numerical measure may indicate the presence of an action principle which may facilitate a application of physics principles in the study ...
of the human brain and cognition. ...
In a recent paper by Prasad et al. (2013) the authors present a method for studying brain connectivity by simulating a dynamical evolution of the nodes of the network (Prasad et al. 2013 ). ...
doi:10.1007/978-3-319-57379-3_4
pmid:28971445
fatcat:ckxwmdepszcvvherd2pznukq64
Emergence of diverse behaviors from interactions between nonlinear oscillator complex networks and a musculoskeletal system
2013
Advances in Artificial Life, ECAL 2013
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By estimating the numbers of behavioral attractors, we revealed a qualitative difference between the scale-free network and other complex networks. ...
To understand the relationship between brain structure and behavior in the general movements of fetuses and infants from a complex systems perspective, we investigated how behaviors emerge from interactions ...
Structural Constraint of the Nervous System, the Body and the Environment" (No. 24680024) from The Ministry of Education, Culture, Sports, Science and Technology, Japan. ...
doi:10.7551/978-0-262-31709-2-ch048
dblp:conf/ecal/MoriOA13
fatcat:gqrpejlannevtp3v7h7jzr5wmi
Critical Brain Dynamics at Large Scale
[chapter]
2014
Criticality in Neural Systems
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Essentially, all modeling of brain function from studying models of neural networks has ignored the self-organized aspects of the process, but has concentrated on designing a working brain by engineering ...
This proposal is now supported by a wide body of empirical evidence at different scales demonstrating that the spatiotemporal brain dynamics exhibit key signatures of critical dynamics, previously recognized ...
The point is that we could be fulling ourselves in choosing for our particular problem a description of the brain determined by graphs, constructed by nodes, connected by paths, and so on. ...
doi:10.1002/9783527651009.ch3
fatcat:kcqvzemd4zd6djr5bbofhbmqai
Critical brain dynamics at large scale
[article]
2012
arXiv
pre-print
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This proposal is now supported by a wide body of empirical evidence at different scales demonstrating that the spatiotemporal brain dynamics exhibit key signatures of critical dynamics, previously recognized ...
In between these states, the unique dynamical features of the critical state endow the brain with properties which are fundamental for adaptive behavior. ...
The point is that we could be fulling ourselves in choosing for our particular problem a description of the brain determined by graphs, constructed by nodes, connected by paths, and so on. ...
arXiv:1210.3632v1
fatcat:d66f677ggndt5f2pqa7mpzxdoa
Bayesian Body Schema Estimation using Tactile Information obtained through Coordinated Random Movements
[article]
2016
arXiv
pre-print
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The DPGMM-LJ is a probabilistic model based on Bayesian nonparametrics and an extension of Dirichlet process Gaussian mixture model (DPGMM). ...
They also suggest that a certain degree of motor coordination in random movements and the sufficient dimension of state space that represents the body map are important to estimate body schema correctly ...
Acknowledgment This research was partially supported by a Grant-in-Aid for Scientific Research on Innovative Areas 2015-2017 (15H01670) funded by the Ministry of Education, Culture, Sports, Science, and ...
arXiv:1612.00305v1
fatcat:4wg6tng4qvh6vpjhorbf42onli
BRAIN vol. 3, issue 3
2012
Brain: Broad Research in Artificial Intelligence and Neuroscience
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Models, which can actually be connected to parts of the human brain or body and that can serve the same role as the brain system they emulate. An example is Boahen's artificial retina [16] . 2. ...
a model may be called "brain-like" or "brain-inspired". ...
or publish it in a book), with an acknowledgement of its initial publication in this journal. ...
doaj:6ef96bdc595942feb15fcec00dd786f2
fatcat:3ddjqzspmvde3g53r6wnu6eo4q
Chaotic itinerancy within the coupled dynamics between a physical body and neural oscillator networks
2017
PLoS ONE
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From this perspective, the diverse behavior of animals and its spontaneous transitions could be explained by a complex coupled dynamical system consisting of a physical body and a brain. ...
From this perspective, the diverse behavior of animals and its spontaneous transitions lead to a complex coupled dynamical system, including a physical body and a brain. ...
Acknowledgments The authors are grateful to Ichiro Tsuda, Yukie Nagai, Hisashi Ishihara, Tomoyo Morita, Yuji Kawai, and Takato Horii for their help through useful discussions. ...
doi:10.1371/journal.pone.0182518
pmid:28796797
pmcid:PMC5552128
fatcat:olrvm7ozwvgmvh7uykldigilme
A Framework to Control Functional Connectivity in the Human Brain
[article]
2019
arXiv
pre-print
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In this work, we use a collection of interconnected Kuramoto oscillators to model oscillatory neural activity, and show that functional connectivity is essentially regulated by the degree of synchronization ...
In this paper, we propose a framework to control brain-wide functional connectivity by selectively acting on the brain's structure and parameters. ...
the gap between empirical studies on oscillatory neural activity [8] , [9] , [24] and the recent technical body of work inspired by neural synchronization [19] , [21] - [23] . ...
arXiv:1904.08805v2
fatcat:prhwvgidwbh47nnrudosphq4w4
Computational Intelligence Techniques for Wireless Sensor Network: Review
2015
International Journal of Computer Applications
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Clustering is a technique that is used for managing energy consumption. However, clustering is NP hard optimization problem that can't be solved effectively by traditional methods. ...
Wireless sensors (nodes) in the network sense extract data from the various surrounding environment, sequence the sensed data locally, and then transfer the data to a base station for further processing ...
These findings have inspired modeling of biological neural systems by means of NNs
Fig 4: Structure of an artificial neuron The three Basic components of an artificial neuron shown in Figure 4 are: ...
doi:10.5120/20815-3180
fatcat:ijc3now5jvdptdqcv4zaxxpkca
Complexity in a brain-inspired agent-based model
2012
Neural Networks
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Funding This work was supported by the National Institute of Neurological Disorders and Stroke (NS070917, URL: http://www.ninds.nih.gov). ...
Acknowledgments The authors thank Dr. David John for facilitating an independent study on genetic algorithms, and Dr. Andrew Wuensche for correspondence on algorithms for studying attractor basins. ...
We introduce a brain-inspired mesoscale agent-based model that we call the agent-based brain-inspired model (ABBM). ...
doi:10.1016/j.neunet.2012.05.012
pmid:22732321
pmcid:PMC3399043
fatcat:3qwln3jvjjdvhd23prujwusaui
Functional Brain Connectivity Revealed by Sparse Coding of Large-Scale Local Field Potential Dynamics
2018
Brain Topography
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However, due to the lack of effective modeling methods, how the simultaneously recorded LFP can inform us about the brain dynamics remains a general challenge. ...
Modeled by a finite state machine, temporal transition framework of functional connectivities was inferred for each frequency band, and evident preference was discovered. ...
Inspired by the important observations on the brain dynamics from prior studies, there have been many studies aiming to quantitatively characterize the temporal dynamics and transition patterns of functional ...
doi:10.1007/s10548-018-0682-3
pmid:30341589
pmcid:PMC6374165
fatcat:ygm6kz7alfhvvlacymb5qjzc6m
Is schema theory an appropriate framework for modeling the organization of the brain?
2000
Behavioral and Brain Sciences
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Readers with a more pronounced inclination in the neurosciences are offered a framework for modeling brain organization and activities. ...
The notion of schema is simply a concise recapitulation of the diverse body of research in which, after the pioneering work of Anhokin, Bernstein, Gibson, Piaget, von Holst and others, it has become clear ...
(hosting an N-dimensional grid on a 2-dimensional substrate) but is compensated by using long-distance cortico-cortical connections (that are known to be present in a massive and organized manner). ...
doi:10.1017/s0140525x00383364
fatcat:atlzzuqp4bh6biffv3qiyep2am
Neurolinguistic approach to natural language processing with applications to medical text analysis
2008
Neural Networks
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Snapshots of activations of various concepts in the brain spreading through associative network may be captured in a vector model. ...
Although better approximations to the spreading of neural activations may be devised a practical approach presented in this paper helps to discover pathways used by the brain to process specific concepts ...
Duch thanks the Polish Committee for Scientific Research, research grant 2005-2007, for support. ...
doi:10.1016/j.neunet.2008.05.008
pmid:18614334
pmcid:PMC2633093
fatcat:y6vhxmz46vgrtk6un6cqjuhxsq
Brain-Inspired Spiking Neural Networks
[chapter]
2020
Bio-Inspired Technology [Working Title]
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More importantly, they are used to solve a wide variety of problems in the field of artificial intelligence (AI). They are uniquely suited to model temporal and spatio-temporal data paradigms. ...
With this as inspiration, there are several compute models which exist today trying to exploit the inherent efficiencies demonstrated by nature. ...
Qinru Qiu from Syracuse University and her research group members specifically Amar Shrestha in contributing during the original research. 21 Brain-Inspired Spiking Neural Networks DOI: http://dx.doi.org ...
doi:10.5772/intechopen.93435
fatcat:tffl2k2u4jgvpnp5fgtkg3ip5u
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