keyword
MENU ▼
Read by QxMD icon Read
search

neural dynamics

keyword
https://www.readbyqxmd.com/read/28102833/a-multimodal-approach-to-estimating-vigilance-using-eeg-and-forehead-eog
#1
Wei-Long Zheng, Baoliang Lu
OBJECTIVE: Covert aspects of ongoing user mental states provide key context information for user-aware human computer interactions. In this paper, we focus on the problem of estimating the vigilance of users using EEG and EOG signals. APPROACH: The PERCLOS index as vigilance annotation is obtained from eye tracking glasses. To improve the feasibility and wearability of vigilance estimation devices for real-world applications, we adopt a novel electrode placement for forehead EOG and extract various eye movement features, which contain the principal information of traditional EOG...
January 19, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28102689/high-dimensional-atomistic-neural-network-potentials-for-molecule-surface-interactions-hcl-scattering-from-au-111
#2
Brian Kolb, Xuan Luo, Xueyao Zhou, Bin Jiang, Hua Guo
Ab initio molecular dynamics (AIMD) simulations of molecule-surface scattering allow first-principles characterization of the dynamics. However, the large number of density functional theory calculations along the trajectories are very costly, limiting simulations of long-time events. To avoid this computational bottleneck, we report here the development of a high-dimensional molecule-surface interaction potential energy surface (PES) with movable surface atoms, using a machine learning approach. With 60 degrees of freedom, this PES allows energy transfer between the impinging molecule and surface atoms...
January 19, 2017: Journal of Physical Chemistry Letters
https://www.readbyqxmd.com/read/28102460/neural-mass-models-as-a-tool-to-investigate-neural-dynamics-during-seizures
#3
Tatiana Kameneva, Tianlin Ying, Ben Guo, Dean R Freestone
Epilepsy is one of the most common neurological disorders and is characterized by recurrent seizures. We use theoretical neuroscience tools to study brain dynamics during seizures. We derive and simulate a computational model of a network of hippocampal neuronal populations. Each population within the network is based on a model that has been shown to replicate the electrophysiological dynamics observed during seizures. The results provide insights into possible mechanisms for seizure spread. We observe that epileptiform activity remains localized to a pathological region when a global connectivity parameter is less than a critical value...
January 19, 2017: Journal of Computational Neuroscience
https://www.readbyqxmd.com/read/28102177/erratum-an-action-potential-driven-model-of-soleus-muscle-activation-dynamics-for-locomotor-like-movements-2015-j-neural-eng-12-046025
#4
Hojeong Kim, Thomas Sandercock, C Heckman
We published our study on modelling ans simulation of force production in cat soleus muscles during locomotor-like movements. Unfortunately, we recently found several typographical errors in equation (15), table 1 and figure 3E in the published paper. Those errors arose from mistakes on our part during transitioning of our manuscript from the paper to electronic version. We have confirmed that correction of our errors does not influence any simulation results and conclusions published in our paper. However, we think that the errors and their corrections should be noticed publically to prevent the readers from having difficulties in implementing our muscle model...
January 19, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28101525/untangling-basal-ganglia-network-dynamics-and-function-role-of-dopamine-depletion-and-inhibition-investigated-in-a-spiking-network-model
#5
Mikael Lindahl, Jeanette Hellgren Kotaleski
The basal ganglia are a crucial brain system for behavioral selection, and their function is disturbed in Parkinson's disease (PD), where neurons exhibit inappropriate synchronization and oscillations. We present a spiking neural model of basal ganglia including plausible details on synaptic dynamics, connectivity patterns, neuron behavior, and dopamine effects. Recordings of neuronal activity in the subthalamic nucleus and Type A (TA; arkypallidal) and Type I (TI; prototypical) neurons in globus pallidus externa were used to validate the model...
November 2016: ENeuro
https://www.readbyqxmd.com/read/28101427/dynamic-imaging-and-quantitative-analysis-of-cranial-neural-tube-closure-in-the-mouse-embryo-using-optical-coherence-tomography
#6
Shang Wang, Monica D Garcia, Andrew L Lopez, Paul A Overbeek, Kirill V Larin, Irina V Larina
Neural tube closure is a critical feature of central nervous system morphogenesis during embryonic development. Failure of this process leads to neural tube defects, one of the most common forms of human congenital defects. Although molecular and genetic studies in model organisms have provided insights into the genes and proteins that are required for normal neural tube development, complications associated with live imaging of neural tube closure in mammals limit efficient morphological analyses. Here, we report the use of optical coherence tomography (OCT) for dynamic imaging and quantitative assessment of cranial neural tube closure in live mouse embryos in culture...
January 1, 2017: Biomedical Optics Express
https://www.readbyqxmd.com/read/28100828/an-integrated-modelling-framework-for-neural-circuits-with-multiple-neuromodulators
#7
Alok Joshi, Vahab Youssofzadeh, Vinith Vemana, T M McGinnity, Girijesh Prasad, KongFatt Wong-Lin
Neuromodulators are endogenous neurochemicals that regulate biophysical and biochemical processes, which control brain function and behaviour, and are often the targets of neuropharmacological drugs. Neuromodulator effects are generally complex partly owing to the involvement of broad innervation, co-release of neuromodulators, complex intra- and extrasynaptic mechanism, existence of multiple receptor subtypes and high interconnectivity within the brain. In this work, we propose an efficient yet sufficiently realistic computational neural modelling framework to study some of these complex behaviours...
January 2017: Journal of the Royal Society, Interface
https://www.readbyqxmd.com/read/28099854/single-cell-transcriptomic-analysis-defines-heterogeneity-and-transcriptional-dynamics-in-the-adult-neural-stem-cell-lineage
#8
Ben W Dulken, Dena S Leeman, Stéphane C Boutet, Katja Hebestreit, Anne Brunet
Neural stem cells (NSCs) in the adult mammalian brain serve as a reservoir for the generation of new neurons, oligodendrocytes, and astrocytes. Here, we use single-cell RNA sequencing to characterize adult NSC populations and examine the molecular identities and heterogeneity of in vivo NSC populations. We find that cells in the NSC lineage exist on a continuum through the processes of activation and differentiation. Interestingly, rare intermediate states with distinct molecular profiles can be identified and experimentally validated, and our analysis identifies putative surface markers and key intracellular regulators for these subpopulations of NSCs...
January 17, 2017: Cell Reports
https://www.readbyqxmd.com/read/28098771/breast-cancer-brain-metastases-clonal-evolution-in-clinical-context
#9
REVIEW
Jodi M Saunus, Amy E McCart Reed, Zhun Leong Lim, Sunil R Lakhani
Brain metastases are highly-evolved manifestations of breast cancer arising in a unique microenvironment, giving them exceptional adaptability in the face of new extrinsic pressures. The incidence is rising in line with population ageing, and use of newer therapies that stabilise metastatic disease burden with variable efficacy throughout the body. Historically, there has been a widely-held view that brain metastases do not respond to circulating therapeutics because the blood-brain-barrier (BBB) restricts their uptake...
January 13, 2017: International Journal of Molecular Sciences
https://www.readbyqxmd.com/read/28097516/are-event-related-potentials-to-dynamic-facial-expressions-of-emotion-related-to-individual-differences-in-the-accuracy-of-processing-facial-expressions-and-identity
#10
Guillermo Recio, Oliver Wilhelm, Werner Sommer, Andrea Hildebrandt
Despite a wealth of knowledge about the neural mechanisms behind emotional facial expression processing, little is known about how they relate to individual differences in social cognition abilities. We studied individual differences in the event-related potentials (ERPs) elicited by dynamic facial expressions. First, we assessed the latent structure of the ERPs, reflecting structural face processing in the N170, and the allocation of processing resources and reflexive attention to emotionally salient stimuli, in the early posterior negativity (EPN) and the late positive complex (LPC)...
January 17, 2017: Cognitive, Affective & Behavioral Neuroscience
https://www.readbyqxmd.com/read/28095644/xenopus-as-a-model-organism-to-study-heterotrimeric-g-protein-pathway-during-collective-cell-migration-of-neural-crest
#11
REVIEW
G Toro-Tapia, S Villaseca, J I Leal, A Beyer, J Fuentealba, M Torrejón
Collective cell migration is essential in many fundamental aspects of normal development, like morphogenesis, organ formation, wound healing and immune responses, as well as in the etiology of severe pathologies, like cancer metastasis. In spite of the huge amount of data accumulated on cell migration, such a complex process involves many molecular actors, some of which still remain to be functionally characterized. One of these signals is the heterotrimeric G-protein pathway that has been studied mainly in gastrulation movements...
January 17, 2017: Genesis: the Journal of Genetics and Development
https://www.readbyqxmd.com/read/28095421/approximate-inference-for-time-varying-interactions-and-macroscopic-dynamics-of-neural-populations
#12
Christian Donner, Klaus Obermayer, Hideaki Shimazaki
The models in statistical physics such as an Ising model offer a convenient way to characterize stationary activity of neural populations. Such stationary activity of neurons may be expected for recordings from in vitro slices or anesthetized animals. However, modeling activity of cortical circuitries of awake animals has been more challenging because both spike-rates and interactions can change according to sensory stimulation, behavior, or an internal state of the brain. Previous approaches modeling the dynamics of neural interactions suffer from computational cost; therefore, its application was limited to only a dozen neurons...
January 17, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28094034/dynamical-representation-of-dominance-relationships-in-the-human-rostromedial-prefrontal-cortex
#13
Romain Ligneul, Ignacio Obeso, Christian C Ruff, Jean-Claude Dreher
Humans and other primates have evolved the ability to represent their status in the group's social hierarchy, which is essential for avoiding harm and accessing resources. Yet it remains unclear how the human brain learns dominance status and adjusts behavior accordingly during dynamic social interactions. Here we address this issue with a combination of fMRI and transcranial direct current stimulation (tDCS). In a first fMRI experiment, participants learned an implicit dominance hierarchy while playing a competitive game against three opponents of different skills...
December 5, 2016: Current Biology: CB
https://www.readbyqxmd.com/read/28093472/social-status-dependent-shift-in-neural-circuit-activation-affects-decision-making
#14
Thomas Miller, Katie Clements, Sungwoo Ahn, Choongseok Park, Eoon Hye Ji, Fadi A Issa
: In a social group, animals make behavioral decisions that fit their social ranks. These behavioral choices are dependent on the various social cues experienced during social interactions. In vertebrates, little is known of how social status affects the underlying neural mechanisms regulating decision-making circuits that drive competing behaviors. Here, we demonstrate that social status in zebrafish (Danio rerio) influences behavioral decisions by shifting the balance in neural circuit activation between two competing networks (escape and swim)...
January 16, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28092972/tracking-dynamic-interactions-between-structural-and-functional-connectivity-a-tms-eeg-dmri-study
#15
Enrico Amico, Olivier Bodart, Mario Rosanova, Olivia Gosseries, Lizette Heine, Pieter Van Mierlo, Charlotte Martial, Marcello Massimini, Daniele Marinazzo, Steven Laureys
Transcranial magnetic stimulation (TMS) in combination with neuroimaging techniques allows to measure the effects of a direct perturbation of the brain. When coupled to high density electroencephalography (TMS/hd-EEG), TMS pulses revealed electrophysiological signatures of different cortical modules in health and disease. However, the neural underpinnings of these signatures remain unclear. Here, by applying multimodal analyses of cortical response to TMS recordings and diffusion magnetic resonance imaging (dMRI) tractography, we investigated the relationship between functional and structural features of different cortical modules in a cohort of awake healthy volunteers...
January 16, 2017: Brain Connectivity
https://www.readbyqxmd.com/read/28092580/determination-of-the-edge-of-criticality-in-echo-state-networks-through-fisher-information-maximization
#16
Lorenzo Livi, Filippo Maria Bianchi, Cesare Alippi
It is a widely accepted fact that the computational capability of recurrent neural networks (RNNs) is maximized on the so-called "edge of criticality." Once the network operates in this configuration, it performs efficiently on a specific application both in terms of: 1) low prediction error and 2) high short-term memory capacity. Since the behavior of recurrent networks is strongly influenced by the particular input signal driving the dynamics, a universal, application-independent method for determining the edge of criticality is still missing...
January 16, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28092522/active-self-paced-learning-for-cost-effective-and-progressive-face-identification
#17
Liang Lin, Keze Wang, Deyu Meng, Wangmeng Zuo, Lei Zhang
This paper aims to develop a novel cost-effective framework for face identification, which progressively maintains a batch of classifiers with the increasing face images of different individuals. By naturally combining two recently rising techniques: active learning (AL) and self-paced learning (SPL), our framework is capable of automatically annotating new instances and incorporating them into training under weak expert recertification. We first initialize the classifier using a few annotated samples for each individual, and extract image features using the convolutional neural nets...
January 16, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28088645/towards-solving-the-hard-problem-of-consciousness-the-varieties-of-brain-resonances-and-the-conscious-experiences-that-they-support
#18
Stephen Grossberg
The hard problem of consciousness is the problem of explaining how we experience qualia or phenomenal experiences, such as seeing, hearing, and feeling, and knowing what they are. To solve this problem, a theory of consciousness needs to link brain to mind by modeling how emergent properties of several brain mechanisms interacting together embody detailed properties of individual conscious psychological experiences. This article summarizes evidence that Adaptive Resonance Theory, or ART, accomplishes this goal...
December 6, 2016: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28088484/optimal-trajectories-of-brain-state-transitions
#19
Shi Gu, Richard F Betzel, Marcelo G Mattar, Matthew Cieslak, Philip R Delio, Scott T Grafton, Fabio Pasqualetti, Danielle S Bassett
The complexity of neural dynamics stems in part from the complexity of the underlying anatomy. Yet how white matter structure constrains how the brain transitions from one cognitive state to another remains unknown. Here we address this question by drawing on recent advances in network control theory to model the underlying mechanisms of brain state transitions as elicited by the collective control of region sets. We find that previously identified attention and executive control systems are poised to affect a broad array of state transitions that cannot easily be classified by traditional engineering-based notions of control...
January 11, 2017: NeuroImage
https://www.readbyqxmd.com/read/28088140/ring-polymer-molecular-dynamics-studies-on-the-rate-coefficient-of-the-abstraction-channel-of-hydrogen-plus-ethane-propane-and-dimethyl-ether
#20
Qingyong Meng, Jun Chen
To accurately compute the rates of the abstraction channels of hydrogen plus ethane (Et), propane (Pr), and dimethyl ether (DME), ring-polymer molecular dynamics (RPMD) method is used in conjunction with the recently constructed local permutation invariant polynomial neural-networks potential energy surface of the parent H + CH4 system [Q. Meng et al., J. Chem. Phys. 144, 154312 (2016)]. For H + Et, one of the H atoms in CH4 of the parent system is replaced by a methyl group, while for the H + DME reaction, it is replaced by the methoxyl group...
January 14, 2017: Journal of Chemical Physics
keyword
keyword
69387
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"