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https://www.readbyqxmd.com/read/28443696/the-development-and-modelling-of-devices-and-paradigms-for-transcranial-magnetic-stimulation
#1
Stefan M Goetz, Zhi-De Deng
Magnetic stimulation is a non-invasive neurostimulation technique that can evoke action potentials and modulate neural circuits through induced electric fields. Biophysical models of magnetic stimulation have become a major driver for technological developments and the understanding of the mechanisms of magnetic neurostimulation and neuromodulation. Major technological developments involve stimulation coils with different spatial characteristics and pulse sources to control the pulse waveform. While early technological developments were the result of manual design and invention processes, there is a trend in both stimulation coil and pulse source design to mathematically optimize parameters with the help of computational models...
April 26, 2017: International Review of Psychiatry
https://www.readbyqxmd.com/read/28431905/dynamic-interhemispheric-competition-and-vestibulo-cortical-control-in-humans-a-theoretical-proposition
#2
REVIEW
Qadeer Arshad
Neuroscientific research has made a concerted effort to determine cortical localisation using various functional imaging techniques. This approach has undoubtedly yielded important novel anatomical knowledge, albeit at times contradictory, regarding the structural organisation of the vestibular cortex. Unfortunately however, this knowledge has not translated to our understanding regarding how neural mechanisms control vestibular function. Based upon recent functional imaging, lesion and neuro-physiological data that has demonstrated (i) the close behavioural and neuro-anatomical relationship between cortical processing of vestibular and spatial attention signals, and (ii) that inducing interhemispheric competition can in-turn strongly modulate vestibular function akin to that observed in cortical lesion patients, I herewith propose the hypothesis that vestibular cortical processing is controlled, as per for spatial attention, via dynamic interhemispheric competition...
April 18, 2017: Neuroscience
https://www.readbyqxmd.com/read/28424606/bifurcation-analysis-on-phase-amplitude-cross-frequency-coupling-in-neural-networks-with-dynamic-synapses
#3
Takumi Sase, Yuichi Katori, Motomasa Komuro, Kazuyuki Aihara
We investigate a discrete-time network model composed of excitatory and inhibitory neurons and dynamic synapses with the aim at revealing dynamical properties behind oscillatory phenomena possibly related to brain functions. We use a stochastic neural network model to derive the corresponding macroscopic mean field dynamics, and subsequently analyze the dynamical properties of the network. In addition to slow and fast oscillations arising from excitatory and inhibitory networks, respectively, we show that the interaction between these two networks generates phase-amplitude cross-frequency coupling (CFC), in which multiple different frequency components coexist and the amplitude of the fast oscillation is modulated by the phase of the slow oscillation...
2017: Frontiers in Computational Neuroscience
https://www.readbyqxmd.com/read/28422957/towards-a-theory-of-cortical-columns-from-spiking-neurons-to-interacting-neural-populations-of-finite-size
#4
Tilo Schwalger, Moritz Deger, Wulfram Gerstner
Neural population equations such as neural mass or field models are widely used to study brain activity on a large scale. However, the relation of these models to the properties of single neurons is unclear. Here we derive an equation for several interacting populations at the mesoscopic scale starting from a microscopic model of randomly connected generalized integrate-and-fire neuron models. Each population consists of 50-2000 neurons of the same type but different populations account for different neuron types...
April 19, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28415249/traveling-waves-and-breathers-in-an-excitatory-inhibitory-neural-field
#5
Stefanos E Folias
We study existence and stability of traveling activity bump solutions in an excitatory-inhibitory (E-I) neural field with Heaviside firing rate functions by deriving existence conditions for traveling bumps and an Evans function to analyze their spectral stability. Subsequently, we show that these existence and stability results reduce, in the limit of wave speed c→0, to the equivalent conditions developed for the stationary bump case. Using the results for the stationary bump case, we show that drift bifurcations of stationary bumps serve as a mechanism for generating traveling bump solutions in the E-I neural field as parameters are varied...
March 2017: Physical Review. E
https://www.readbyqxmd.com/read/28409730/chronic-multisite-brain-recordings-from-a-totally-implantable-bidirectional-neural-interface-experience-in-5-patients-with-parkinson-s-disease
#6
Nicole C Swann, Coralie de Hemptinne, Svjetlana Miocinovic, Salman Qasim, Jill L Ostrem, Nicholas B Galifianakis, Marta San Luciano, Sarah S Wang, Nathan Ziman, Robin Taylor, Philip A Starr
OBJECTIVE Dysfunction of distributed neural networks underlies many brain disorders. The development of neuromodulation therapies depends on a better understanding of these networks. Invasive human brain recordings have a favorable temporal and spatial resolution for the analysis of network phenomena but have generally been limited to acute intraoperative recording or short-term recording through temporarily externalized leads. Here, the authors describe their initial experience with an investigational, first-generation, totally implantable, bidirectional neural interface that allows both continuous therapeutic stimulation and recording of field potentials at multiple sites in a neural network...
April 14, 2017: Journal of Neurosurgery
https://www.readbyqxmd.com/read/28403137/topological-defects-control-collective-dynamics-in-neural-progenitor-cell-cultures
#7
Kyogo Kawaguchi, Ryoichiro Kageyama, Masaki Sano
Cultured stem cells have become a standard platform not only for regenerative medicine and developmental biology but also for biophysical studies. Yet, the characterization of cultured stem cells at the level of morphology and macroscopic patterns resulting from cell-to-cell interactions remain largely qualitative. Here we report the collective motion of cultured neural progenitor cells (NPCs), which are multipotent stem cells that give rise to cells in the central nervous system[1]. At low densities, NPCs moved in an amoeba-like fashion and with random motion...
April 12, 2017: Nature
https://www.readbyqxmd.com/read/28389715/neural-field-model-of-seizure-like-activity-in-isolated-cortex
#8
X Zhao, P A Robinson
Epileptiform discharges on an isolated cortex are explored using neural field theory. A neural field model of the isolated cortex is used that consists of three neural populations, excitatory, inhibitory, and excitatory bursting. Mechanisms by which an isolated cortex gives rise to seizure-like waveforms thought to underly pathological EEG waveforms on the deafferented cortex are explored. It is shown that the model reproduces similar time series and oscillatory frequencies for paroxysmal discharges when compared with physiological recordings both during acute and chronic deafferentation states...
April 7, 2017: Journal of Computational Neuroscience
https://www.readbyqxmd.com/read/28360844/recurrent-network-dynamics-a-link-between-form-and-motion
#9
Jeroen Joukes, Yunguo Yu, Jonathan D Victor, Bart Krekelberg
To discriminate visual features such as corners and contours, the brain must be sensitive to spatial correlations between multiple points in an image. Consistent with this, macaque V2 neurons respond selectively to patterns with well-defined multipoint correlations. Here, we show that a standard feedforward model (a cascade of linear-non-linear filters) does not capture this multipoint selectivity. As an alternative, we developed an artificial neural network model with two hierarchical stages of processing and locally recurrent connectivity...
2017: Frontiers in Systems Neuroscience
https://www.readbyqxmd.com/read/28352218/cinematic-operation-of-the-cerebral-cortex-interpreted-via-critical-transitions-in-self-organized-dynamic-systems
#10
Robert Kozma, Walter J Freeman
Measurements of local field potentials over the cortical surface and the scalp of animals and human subjects reveal intermittent bursts of beta and gamma oscillations. During the bursts, narrow-band metastable amplitude modulation (AM) patters emerge for a fraction of a second and ultimately dissolve to the broad-band random background activity. The burst process depends on previously learnt conditioned stimuli (CS), thus different AM patterns may emerge in response to different CS. This observation leads to our cinematic theory of cognition when perception happens in discrete steps manifested in the sequence of AM patterns...
2017: Frontiers in Systems Neuroscience
https://www.readbyqxmd.com/read/28335018/dissecting-gamma-frequency-activity-during-human-memory-processing
#11
Michal T Kucewicz, Brent M Berry, Vaclav Kremen, Benjamin H Brinkmann, Michael R Sperling, Barbara C Jobst, Robert E Gross, Bradley Lega, Sameer A Sheth, Joel M Stein, Sandthitsu R Das, Richard Gorniak, S Matthew Stead, Daniel S Rizzuto, Michael J Kahana, Gregory A Worrell
Gamma frequency activity (30-150 Hz) is induced in cognitive tasks and is thought to reflect underlying neural processes. Gamma frequency activity can be recorded directly from the human brain using intracranial electrodes implanted in patients undergoing treatment for drug-resistant epilepsy. Previous studies have independently explored narrowband oscillations in the local field potential and broadband power increases. It is not clear, however, which processes contribute to human brain gamma frequency activity, or their dynamics and roles during memory processing...
March 13, 2017: Brain: a Journal of Neurology
https://www.readbyqxmd.com/read/28334424/frequency-and-function-in-the-basal-ganglia-the-origins-of-beta-and-gamma-band-activity
#12
Alexander Blenkinsop, Sean Anderson, Kevin Gurney
Neural oscillations in the basal ganglia are well studied yet remain poorly understood. Behavioural correlates of spectral activity are well described, yet a quantitative hypothesis linking time domain dynamics and spectral properties to basal ganglia function has been lacking. We show, for the first time, that a unified description is possible by interpreting previously ignored structure in data describing GPi responses to cortical stimulation. These data were used to expose a pair of distinctive neuronal responses to the stimulation...
March 23, 2017: Journal of Physiology
https://www.readbyqxmd.com/read/28306273/chaos-and-correlated-avalanches-in-excitatory-neural-networks-with-synaptic-plasticity
#13
Fabrizio Pittorino, Miguel Ibáñez-Berganza, Matteo di Volo, Alessandro Vezzani, Raffaella Burioni
A collective chaotic phase with power law scaling of activity events is observed in a disordered mean field network of purely excitatory leaky integrate-and-fire neurons with short-term synaptic plasticity. The dynamical phase diagram exhibits two transitions from quasisynchronous and asynchronous regimes to the nontrivial, collective, bursty regime with avalanches. In the homogeneous case without disorder, the system synchronizes and the bursty behavior is reflected into a period doubling transition to chaos for a two dimensional discrete map...
March 3, 2017: Physical Review Letters
https://www.readbyqxmd.com/read/28303100/a-neural-dynamic-architecture-for-reaching-and-grasping-integrates-perception-and-movement-generation-and-enables-on-line-updating
#14
Guido Knips, Stephan K U Zibner, Hendrik Reimann, Gregor Schöner
Reaching for objects and grasping them is a fundamental skill for any autonomous robot that interacts with its environment. Although this skill seems trivial to adults, who effortlessly pick up even objects they have never seen before, it is hard for other animals, for human infants, and for most autonomous robots. Any time during movement preparation and execution, human reaching movement are updated if the visual scene changes (with a delay of about 100 ms). The capability for online updating highlights how tightly perception, movement planning, and movement generation are integrated in humans...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28293163/an-fpga-platform-for-real-time-simulation-of-spiking-neuronal-networks
#15
Danilo Pani, Paolo Meloni, Giuseppe Tuveri, Francesca Palumbo, Paolo Massobrio, Luigi Raffo
In the last years, the idea to dynamically interface biological neurons with artificial ones has become more and more urgent. The reason is essentially due to the design of innovative neuroprostheses where biological cell assemblies of the brain can be substituted by artificial ones. For closed-loop experiments with biological neuronal networks interfaced with in silico modeled networks, several technological challenges need to be faced, from the low-level interfacing between the living tissue and the computational model to the implementation of the latter in a suitable form for real-time processing...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28282400/developing-a-benchmark-for-emotional-analysis-of-music
#16
Anna Aljanaki, Yi-Hsuan Yang, Mohammad Soleymani
Music emotion recognition (MER) field rapidly expanded in the last decade. Many new methods and new audio features are developed to improve the performance of MER algorithms. However, it is very difficult to compare the performance of the new methods because of the data representation diversity and scarcity of publicly available data. In this paper, we address these problems by creating a data set and a benchmark for MER. The data set that we release, a MediaEval Database for Emotional Analysis in Music (DEAM), is the largest available data set of dynamic annotations (valence and arousal annotations for 1,802 songs and song excerpts licensed under Creative Commons with 2Hz time resolution)...
2017: PloS One
https://www.readbyqxmd.com/read/28268973/a-modular-closed-loop-platform-for-intracranial-stimulation-in-people-with-neurological-disorders
#17
Anish A Sarma, Britni Crocker, Sydney S Cash, Wilson Truccolo
Neuromodulation systems based on electrical stimulation can be used to investigate, probe, and potentially treat a range of neurological disorders. The effects of ongoing neural state and dynamics on stimulation response, and of stimulation parameters on neural state, have broad implications for the development of closed-loop neuro-modulation approaches. We describe the development of a modular, low-latency platform for pre-clinical, closed-loop neuromodulation studies with human participants. We illustrate the uses of the platform in a stimulation case study with a person with epilepsy undergoing neuro-monitoring prior to resective surgery...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268431/exploratory-analysis-of-nonlinear-coupling-between-eeg-global-field-power-and-end-tidal-carbon-dioxide-in-free-breathing-and-breath-hold-tasks
#18
Maria Sole Morelli, Gaetano Valenza, Alberto Greco, Alberto Giannoni, Claudio Passino, Michele Emdin, Enzo Pasquale Scilingo, Nicola Vanello
Brain activations underlying control of breathing are not completely known. Furthermore, the coupling between neural and respiratory dynamics is usually estimated through linear correlation measures, thus totally disregarding possible underlying nonlinear interactions. To overcome these limitations, in this preliminary study we propose a nonlinear coupling analysis of simultaneous recordings of electroencephalographic (EEG) and respiratory signals at rest and after variation of carbon dioxide (CO2) level. Specifically, a CO2 increase was induced by a voluntary breath hold task...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28262423/neurodevelopmental-changes-across-adolescence-in-viewing-and-labeling-dynamic-peer-emotions
#19
Jessica E Flannery, Nicole R Giuliani, John C Flournoy, Jennifer H Pfeifer
Adolescence is a sensitive period of social-affective development, characterized by biological, neurological, and social changes. The field currently conceptualizes these changes in terms of an imbalance between systems supporting reactivity and regulation, specifically nonlinear changes in reactivity networks and linear changes in regulatory networks. Previous research suggests that the labeling or reappraisal of emotion increases activity in lateral prefrontal cortex (LPFC), and decreases activity in amygdala relative to passive viewing of affective stimuli...
February 10, 2017: Developmental Cognitive Neuroscience
https://www.readbyqxmd.com/read/28249394/hopf-bifurcation-in-a-nonlocal-nonlinear-transport-equation-stemming-from-stochastic-neural-dynamics
#20
Audric Drogoul, Romain Veltz
In this work, we provide three different numerical evidences for the occurrence of a Hopf bifurcation in a recently derived [De Masi et al., J. Stat. Phys. 158, 866-902 (2015) and Fournier and löcherbach, Ann. Inst. H. Poincaré Probab. Stat. 52, 1844-1876 (2016)] mean field limit of a stochastic network of excitatory spiking neurons. The mean field limit is a challenging nonlocal nonlinear transport equation with boundary conditions. The first evidence relies on the computation of the spectrum of the linearized equation...
February 2017: Chaos
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