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On the Boundary Element Modeling of Brain Fibers in the EEG Forward Problem via a New Family of Wire Integral Equations [article]

Lyes Rahmouni, Adrien Merlini, Axelle Pillain, Francesco P. Andriulli
2019 arXiv   pre-print
However its precision has been shown to be very dependent on how accurately the brain, head and scalp can be electrically modeled within the so-called forward problem.  ...  In this work we introduce a new BEM scheme taking into account the anisotropies of the white matter.  ...  Acknowledgment This work has been funded in part by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (ERC project 321, grant No. 724846).  ... 
arXiv:1903.08414v1 fatcat:6f5lsuvz6vh2nhsbeyoirmtbku

Structural and effective connectivity reveals potential network-based influences on category-sensitive visual areas

Nicholas Furl
2015 Frontiers in Human Neuroscience  
Evidence supporting these propositions remains incomplete and underscores the need for better integration of DTI and functional imaging.  ...  This modular view can be complemented by a view that treats brain areas as elements within more complex networks and as influenced by network properties.  ...  the structural ''wiring diagram'' of brain connections.  ... 
doi:10.3389/fnhum.2015.00253 pmid:25999841 pmcid:PMC4423354 fatcat:xqb64cosffb5rg2qfczy6eoqca

Mathematical framework for large-scale brain network modeling in The Virtual Brain

Paula Sanz-Leon, Stuart A. Knock, Andreas Spiegler, Viktor K. Jirsa
2015 NeuroImage  
Keywords: Brain network models Neural mass Neural field Whole brain dynamics Forward solutions Cortical surface Brain simulator EEG MEG fMRI BOLD In this article, we describe the mathematical framework  ...  Here, a consistent notation for the generalized BNM is given, so that in this form the equations represent a direct link between the mathematical description of BNMs and the components of the numerical  ...  Acknowledgments The research reported herein was supported by the Brain Network Recovery Group through the James S. McDonnell Foundation and the FP7-ICT BrainScales -2009-6.  ... 
doi:10.1016/j.neuroimage.2015.01.002 pmid:25592995 fatcat:v5etutxbyvaxvg7yktvig6fa5u

Techniques and devices to restore cognition

Mijail Demian Serruya, Michael J. Kahana
2008 Behavioural Brain Research  
the design and evaluation of a new class of devices.  ...  While non-invasive approaches might strengthen a patient's remaining intact cognitive abilities, neurocognitive prosthetics comprised of direct brain-computer interfaces could in theory physically reconstitute  ...  on the EEG.  ... 
doi:10.1016/j.bbr.2008.04.007 pmid:18539345 pmcid:PMC3051349 fatcat:rzyjuf4b3jghne742nsr7lhlpi

On the Technology Prospects and Investment Opportunities for Scalable Neuroscience [article]

Thomas Dean, Biafra Ahanonu, Mainak Chowdhury, Anjali Datta, Andre Esteva, Daniel Eth, Nobie Redmon, Oleg Rumyantsev, Ysis Tarter
2013 arXiv   pre-print
Two major initiatives to accelerate research in the brain sciences have focused attention on developing a new generation of scientific instruments for neuroscience.  ...  We investigate a diverse set of technologies with the purpose of anticipating their development over the span of the next 10 years and categorizing their impact in terms of short-term [1-2 years], medium-term  ...  At one point, we discussed the idea of using kinesin-like "wire stringers" that would walk along structural supports in the extracellular matrix to wire the brain and install a fiber-optic network.  ... 
arXiv:1307.7302v1 fatcat:xgahfuugdjbzfn7uwsjpjtbbqa

Whole-brain models to explore altered states of consciousness from the bottom up [article]

Rodrigo Cofré, Rubén Herzog, Pedro A.M. Mediano, Juan Piccinini, Fernando E. Rosas, Yonatan Sanz Perl, Enzo Tagliazucchi
2020 arXiv   pre-print
Throughout this paper, we define altered states of consciousness, discuss relevant signatures of consciousness observed in brain activity, and introduce whole-brain models to explore the mechanisms of  ...  For this purpose, we advocate a research program aimed at bridging the gap between bottom-up generative models of whole-brain activity and the top-down signatures proposed by theories of consciousness.  ...  a fertile ground for whole-brain models to open a new window of research possibilities.  ... 
arXiv:2008.02788v1 fatcat:gc6sjkavtza5dedpmvfpjwhhj4

Neural Entrainment Determines the Words We Hear

Anne Kösem, Hans Rutger Bosker, Atsuko Takashima, Antje Meyer, Ole Jensen, Peter Hagoort
2018 Current Biology  
In MEG analysis, one can avoid many problems of EEG source modeling, for example in infant brains where the relative conductivities of tissues, such as grey and white matter, differ from adult values,  ...  The majority of functional brain imaging studies on pain have described cortical responses associated with A-delta-fiber-mediated pain, or a combination of A-delta and C-fiber pain.  ... 
doi:10.1016/j.cub.2018.07.023 pmid:30197083 fatcat:igzyfe6azjav3p2nrcmr22xeby

28th Annual Computational Neuroscience Meeting: CNS*2019

2019 BMC Neuroscience  
The computer then performed online event detection on the signals and forwarded this information to the robot via Bluetooth connection, accurately preserving the temporal structure of the intervals building  ...  The first one consisted of using the neuron oscillations to drive the robot directly, for example moving the legs when a specific neuron fires.  ...  We studied this posibility in two well-established families of mechanistic models of pitch.  ... 
doi:10.1186/s12868-019-0538-0 fatcat:3pt5qvsh45awzbpwhqwbzrg4su

Whole-Brain Models to Explore Altered States of Consciousness from the Bottom Up

Rodrigo Cofré, Rubén Herzog, Pedro A.M. Mediano, Juan Piccinini, Fernando E. Rosas, Yonatan Sanz Perl, Enzo Tagliazucchi
2020 Brain Sciences  
Throughout this paper, we define altered states of consciousness, discuss relevant signatures of consciousness observed in brain activity, and introduce whole-brain models to explore the biophysics of  ...  For this purpose, we advocate a research program aimed at bridging the gap between bottom-up generative models of whole-brain activity and the top-down signatures proposed by theories of consciousness.  ...  the recent focus on the NCC), have prepared a fertile ground for whole-brain models to open a new window of research possibilities.  ... 
doi:10.3390/brainsci10090626 pmid:32927678 fatcat:e6pwkdnornbnnhixtjv6u4c2sy

Fractals in the Nervous System: conceptual Implications for Theoretical Neuroscience [article]

Gerhard Werner
2010 arXiv   pre-print
The final Section consists of general reflections on the implications of the reviewed data, and identifies what appear to be issues of fundamental importance for future research in the rapidly evolving  ...  As regards criticality, I will document that it has become a pivotal reference point in Neurodynamics.  ...  Mucha et al (2009) seek to address this same objective in a new framework that encompasses coupling of individual networks via links connecting nodes of one with nodes of another network at multiple scales  ... 
arXiv:0910.2741v2 fatcat:nj6zeigotrdnrkaoivgcjxcuke

30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts

2021 Journal of Computational Neuroscience  
One of the goals of neuroscience is to understand the computational principles that describe the formation of behaviorally relevant signals in the brain, as well as how these computations are realized  ...  Currently, most functional models of neural activity are based on firing rates, while the most relevant signals for inter-neuron communication are spikes.  ...  Here we extended the previous model with a detailed granular layer model (Cichon & Gan, 2015 Apr) to apply input to MFs.  ... 
doi:10.1007/s10827-021-00801-9 pmid:34931275 pmcid:PMC8687879 fatcat:evpmmfpaivgpxdqpive5xdgmwu

29th Annual Computational Neuroscience Meeting: CNS*2020

2020 BMC Neuroscience  
Deep RL offers a rich framework for studying the interplay among learning, representation and decision-making, offering to the brain sciences a new set of research tools and a wide range of novel hypotheses  ...  Selection starts in the primary visual cortex (V1), which creates a bottom-up saliency map to guide the fovea to selected visual locations via gaze shifts.  ...  Acknowledgments: The research reported here was supported, in part, by NSF grant #1544383 and in part by AFOSR grant #FA9550-16-1-0410.  ... 
doi:10.1186/s12868-020-00593-1 pmid:33342424 fatcat:edosycf35zfifm552a2aogis7a

Fractals in the nervous system: conceptual implications for theoretical neuroscience

Gerhard Werner
2010 Frontiers in Physiology  
The final Section consists of general reflections on the implications of the reviewed data, and identifies what appear to be issues of fundamental importance for future research in the rapidly evolving  ...  As regards criticality, I will document that it has become a pivotal reference point in Neurodynamics.  ...  Mucha et al. (2009) seek to address this same objective in a new framework that encompasses coupling of individual networks via links connecting nodes of one with nodes of another network at multiple  ... 
doi:10.3389/fphys.2010.00015 pmid:21423358 pmcid:PMC3059969 fatcat:qjhzo4ioarg35crh3eblkxfyiq

Preview of Abstracts Fifth Annual Conference of the IEEE Engineering in Medicine and Biology Society

1983 IEEE Transactions on Biomedical Engineering  
We have used numerical integration of Bloch equations to study the relationship between the shape of the pulse, its frequency spectrum, and M(x).  ...  The model consists of 11 chambers, four delays, and 26 transfer paths including forward and reverse flow through the heart valves, backflow from the atria into the veins, and five types of shunts.  ...  We will trace the history of the pacemaker development. Presentations will include physiologic and clinical basis of pacing, development of power supply, and instrumentation.  ... 
doi:10.1109/tbme.1983.325152 fatcat:5ytnmjovmbbexh2nd7x322enge

A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks

Fani Deligianni, Gael Varoquaux, Bertrand Thirion, David J. Sharp, Christian Ledig, Robert Leech, Daniel Rueckert
2013 IEEE Transactions on Medical Imaging  
Acknowledgments: The authors acknowledge support from an MRC training fellowship in biomedical informatics (G0701782). Figures were generated with Mayavi [73] and nipy (www.nipy.org).  ...  Third, the penalization is used to encode prior knowledge on the problem, i.e. specify which model to prefer out of a family of models fitting the data equally well.  ...  Neuroscientific findings that support this come from neuronal models that associate axonal diameter, myelination and fiber integrity to conduction delays and wiring cost.  ... 
doi:10.1109/tmi.2013.2276916 pmid:23934663 fatcat:26fl7luy6refzfjywvuc3edzvu
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