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https://www.readbyqxmd.com/read/28335018/dissecting-gamma-frequency-activity-during-human-memory-processing
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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
#7
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
#8
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
#9
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
#10
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
https://www.readbyqxmd.com/read/28241404/hippocampal-neural-activity-reflects-the-economy-of-choices-during-goal-directed-navigation
#11
Valerie L Tryon, Marsha R Penner, Shawn W Heide, Hunter O King, Joshua Larkin, Sheri J Y Mizumori
Distinguishing spatial contexts is likely essential for the well-known role of the hippocampus in episodic memory. We studied whether types of hippocampal neural organization thought to underlie context discrimination is impacted by learned economic considerations of choice behavior. Hippocampal place cells and theta activity were recorded as rats performed a maze-based probability discounting task that involved choosing between a small certain reward or a large probabilistic reward. Different spatial distributions of place fields were observed in response to changes in probability, the outcome of the rats' choice, and whether or not rats were free to make that choice...
February 27, 2017: Hippocampus
https://www.readbyqxmd.com/read/28227183/a-modular-closed-loop-platform-for-intracranial-stimulation-in-people-with-neurological-disorders
#12
Anish A Sarma, Britni Crocker, Sydney S Cash, Wilson Truccolo, Anish A Sarma, Britni Crocker, Sydney S Cash, Wilson Truccolo, Sydney S Cash, Wilson Truccolo, Anish A Sarma, Britni Crocker
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/28226601/exploratory-analysis-of-nonlinear-coupling-between-eeg-global-field-power-and-end-tidal-carbon-dioxide-in-free-breathing-and-breath-hold-tasks
#13
Maria Sole Morelli, Gaetano Valenza, Alberto Greco, Alberto Giannoni, Claudio Passino, Michele Emdin, Enzo Pasquale Scilingo, Nicola Vanello, Maria Sole Morelli, Gaetano Valenza, Alberto Greco, Alberto Giannoni, Claudio Passino, Michele Emdin, Enzo Pasquale Scilingo, Nicola Vanello, Maria Sole Morelli, Claudio Passino, Alberto Greco, Nicola Vanello, Gaetano Valenza, Alberto Giannoni, Michele Emdin, Enzo Pasquale Scilingo
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/28222198/algorithmic-design-of-a-noise-resistant-and-efficient-closed-loop-deep-brain-stimulation-system-a-computational-approach
#14
Sofia D Karamintziou, Ana Luísa Custódio, Brigitte Piallat, Mircea Polosan, Stéphan Chabardès, Pantelis G Stathis, George A Tagaris, Damianos E Sakas, Georgia E Polychronaki, George L Tsirogiannis, Olivier David, Konstantina S Nikita
Advances in the field of closed-loop neuromodulation call for analysis and modeling approaches capable of confronting challenges related to the complex neuronal response to stimulation and the presence of strong internal and measurement noise in neural recordings. Here we elaborate on the algorithmic aspects of a noise-resistant closed-loop subthalamic nucleus deep brain stimulation system for advanced Parkinson's disease and treatment-refractory obsessive-compulsive disorder, ensuring remarkable performance in terms of both efficiency and selectivity of stimulation, as well as in terms of computational speed...
2017: PloS One
https://www.readbyqxmd.com/read/28221003/trends-in-high-throughput-and-functional-neuroimaging-in-caenorhabditis-elegans
#15
REVIEW
Yongmin Cho, Charles L Zhao, Hang Lu
The nervous system of Caenorhabditis elegans is an important model system for understanding the development and function of larger, more complex nervous systems. It is prized for its ease of handling, rapid life cycle, and stereotyped, well-cataloged development, with the development of all 302 neurons mapped all the way from zygote to adult. The combination of easy genetic manipulation and optical transparency of the worm allows for the direct imaging of its interior with fluorescent microscopy, without physically compromising the normal physiology of the animal itself...
February 21, 2017: Wiley Interdisciplinary Reviews. Systems Biology and Medicine
https://www.readbyqxmd.com/read/28211999/platform-to-enable-combined-measurement-of-dopamine-and-neural-activity
#16
Kate L Parent, Daniel F Hill, Lindsey M Crown, Jean-Paul Wiegand, Kathleen F Gies, Michael A Miller, Christopher W Atcherley, Michael L Heien, Stephen L Cowen
Complex behaviors depend on the coordination of the activities of ensembles of neurons and the release of neuromodulators such as dopamine. The mechanisms underlying such coordination are not well-understood due to a lack of instrumentation for combined and real-time monitoring of neuromodulator release and the activities of large ensembles of neurons. Here we describe a measurement platform that allows for the combined monitoring of electrophysiology from a high-density electrode array and dopamine dynamics from a carbon-fiber microelectrode...
February 17, 2017: Analytical Chemistry
https://www.readbyqxmd.com/read/28208338/synchronization-and-long-time-memory-in-neural-networks-with-inhibitory-hubs-and-synaptic-plasticity
#17
Elena Bertolotti, Raffaella Burioni, Matteo di Volo, Alessandro Vezzani
We investigate the dynamical role of inhibitory and highly connected nodes (hub) in synchronization and input processing of leaky-integrate-and-fire neural networks with short term synaptic plasticity. We take advantage of a heterogeneous mean-field approximation to encode the role of network structure and we tune the fraction of inhibitory neurons f_{I} and their connectivity level to investigate the cooperation between hub features and inhibition. We show that, depending on f_{I}, highly connected inhibitory nodes strongly drive the synchronization properties of the overall network through dynamical transitions from synchronous to asynchronous regimes...
January 2017: Physical Review. E
https://www.readbyqxmd.com/read/28191386/using-induced-pluripotent-stem-cells-to-investigate-complex-genetic-psychiatric-disorders
#18
Stephanie J Temme, Brady J Maher, Kimberly M Christian
PURPOSE OF REVIEW: Induced pluripotent stem cells (iPSCs) can be generated from human patient tissue samples, differentiated into any somatic cell type, and studied under controlled culture conditions. We review how iPSCs are used to investigate genetic factors and biological mechanisms underlying psychiatric disorders, and considerations for synthesizing data across studies. RECENT FINDINGS: Results from patient specific-iPSC studies often reveal cellular phenotypes consistent with postmortem and brain imaging studies...
December 2016: Current Behavioral Neuroscience Reports
https://www.readbyqxmd.com/read/28186182/topological-determinants-of-self-sustained-activity-in-a-simple-model-of-excitable-dynamics-on-graphs
#19
Christoph Fretter, Annick Lesne, Claus C Hilgetag, Marc-Thorsten Hütt
Simple models of excitable dynamics on graphs are an efficient framework for studying the interplay between network topology and dynamics. This topic is of practical relevance to diverse fields, ranging from neuroscience to engineering. Here we analyze how a single excitation propagates through a random network as a function of the excitation threshold, that is, the relative amount of activity in the neighborhood required for the excitation of a node. We observe that two sharp transitions delineate a region of sustained activity...
February 10, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28179882/connecting-artificial-brains-to-robots-in-a-comprehensive-simulation-framework-the-neurorobotics-platform
#20
Egidio Falotico, Lorenzo Vannucci, Alessandro Ambrosano, Ugo Albanese, Stefan Ulbrich, Juan Camilo Vasquez Tieck, Georg Hinkel, Jacques Kaiser, Igor Peric, Oliver Denninger, Nino Cauli, Murat Kirtay, Arne Roennau, Gudrun Klinker, Axel Von Arnim, Luc Guyot, Daniel Peppicelli, Pablo Martínez-Cañada, Eduardo Ros, Patrick Maier, Sandro Weber, Manuel Huber, David Plecher, Florian Röhrbein, Stefan Deser, Alina Roitberg, Patrick van der Smagt, Rüdiger Dillman, Paul Levi, Cecilia Laschi, Alois C Knoll, Marc-Oliver Gewaltig
Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biologically realistic models of the brain based on spiking neural networks. For a proper validation of these models, an embodiment in a dynamic and rich sensory environment, where the model is exposed to a realistic sensory-motor task, is needed. Due to the complexity of these brain models that, at the current stage, cannot deal with real-time constraints, it is not possible to embed them into a real-world task...
2017: Frontiers in Neurorobotics
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