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Computational neuroscience

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https://www.readbyqxmd.com/read/29219118/adaptive-quantization-of-local-field-potentials-for-wireless-implants-in-freely-moving-animals-an-open-source-neural-recording-device
#1
Dominique Martinez, Maxime Clement, Belkacem Messaoudi, Damien Gervasoni, Philippe Litaudon, Nathalie Buonviso
OBJECTIVE: Modern neuroscience research asks for electrophysiological recording of local field potentials (LFPs) in moving animals. Wireless transmission has the advantage of removing the wires between the animal and the recording equipment but is hampered by the large amount of data to be sent at a relatively high rate. APPROACH: To reduce transmission bandwidth, we propose an encoder/decoder scheme based on adaptive non-uniform quantization. Our algorithm uses the current transmitted codeword to adapt the quantization intervals to changing statistics in LFP signals...
December 8, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/29217330/-cognitive-neuroscience-of-aging-contributions-and-challenges
#2
Fernando Díaz, Arturo X Pereiro
The cognitive neuroscience of aging is a young discipline that has emerged as a result of the combination of: A) the theoretical and explanatory frameworks proposed by the cognitive psychology perspective throughout the second half of the twentieth century; B) the designs and methodological procedures arising from experimental psychology and the need to test the hypotheses proposed from the cognitive psychology perspective; C) the contributions of the computer sciences to the explanation of brain functions; and D) the development and use of neuroimaging techniques that have enabled the recording of brain activity in humans while tasks that test some cognitive process or function are performed...
December 4, 2017: Revista Española de Geriatría y Gerontología
https://www.readbyqxmd.com/read/29214978/characterization-of-dynamic-changes-of-current-source-localization-based-on-spatiotemporal-fmri-constrained-eeg-source-imaging
#3
Thinh Nguyen, Thomas Potter, Robert Grossman, Yingchun Zhang
OBJECTIVE: Neuroimaging has been employed as a promising approach to advance our understanding of brain networks in both basic and clinical neuroscience. Electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) represent two neuroimaging modalities with complementary features; EEG has high temporal resolution and low spatial resolution while fMRI has high spatial resolution and low temporal resolution. Multimodal EEG inverse methods have attempted to capitalize on these properties but have been subjected to localization error...
December 7, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/29213234/cognitive-mapping-based-on-conjunctive-representations-of-space-and-movement
#4
Taiping Zeng, Bailu Si
It is a challenge to build robust simultaneous localization and mapping (SLAM) system in dynamical large-scale environments. Inspired by recent findings in the entorhinal-hippocampal neuronal circuits, we propose a cognitive mapping model that includes continuous attractor networks of head-direction cells and conjunctive grid cells to integrate velocity information by conjunctive encodings of space and movement. Visual inputs from the local view cells in the model provide feedback cues to correct drifting errors of the attractors caused by the noisy velocity inputs...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/29209189/spike-triggered-regression-for-synaptic-connectivity-reconstruction-in-neuronal-networks
#5
Yaoyu Zhang, Yanyang Xiao, Douglas Zhou, David Cai
How neurons are connected in the brain to perform computation is a key issue in neuroscience. Recently, the development of calcium imaging and multi-electrode array techniques have greatly enhanced our ability to measure the firing activities of neuronal populations at single cell level. Meanwhile, the intracellular recording technique is able to measure subthreshold voltage dynamics of a neuron. Our work addresses the issue of how to combine these measurements to reveal the underlying network structure. We propose the spike-triggered regression (STR) method, which employs both the voltage trace and firing activity of the neuronal population to reconstruct the underlying synaptic connectivity...
2017: Frontiers in Computational Neuroscience
https://www.readbyqxmd.com/read/29208230/learning-from-connectomics-on-the-fly
#6
REVIEW
Philipp Schlegel, Marta Costa, Gregory Sxe Jefferis
Parallels between invertebrates and vertebrates in nervous system development, organisation and circuits are powerful reasons to use insects to study the mechanistic basis of behaviour. The last few years have seen the generation in Drosophila melanogaster of very large light microscopy data sets, genetic driver lines and tools to report or manipulate neural activity. These resources in conjunction with computational tools are enabling large scale characterisation of neuronal types and their functional properties...
December 2017: Current Opinion in Insect Science
https://www.readbyqxmd.com/read/29206224/efficient-encoding-of-motion-is-mediated-by-gap-junctions-in-the-fly-visual-system
#7
Siwei Wang, Alexander Borst, Noga Zaslavsky, Naftali Tishby, Idan Segev
Understanding the computational implications of specific synaptic connectivity patterns is a fundamental goal in neuroscience. In particular, the computational role of ubiquitous electrical synapses operating via gap junctions remains elusive. In the fly visual system, the cells in the vertical-system network, which play a key role in visual processing, primarily connect to each other via axonal gap junctions. This network therefore provides a unique opportunity to explore the functional role of gap junctions in sensory information processing...
December 4, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/29200994/spatio-temporal-eeg-source-imaging-with-the-hierarchical-bayesian-elastic-net-and-elitist-lasso-models
#8
Deirel Paz-Linares, Mayrim Vega-Hernández, Pedro A Rojas-López, Pedro A Valdés-Hernández, Eduardo Martínez-Montes, Pedro A Valdés-Sosa
The estimation of EEG generating sources constitutes an Inverse Problem (IP) in Neuroscience. This is an ill-posed problem due to the non-uniqueness of the solution and regularization or prior information is needed to undertake Electrophysiology Source Imaging. Structured Sparsity priors can be attained through combinations of (L1 norm-based) and (L2 norm-based) constraints such as the Elastic Net (ENET) and Elitist Lasso (ELASSO) models. The former model is used to find solutions with a small number of smooth nonzero patches, while the latter imposes different degrees of sparsity simultaneously along different dimensions of the spatio-temporal matrix solutions...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/29198454/polarity-sorting-of-microtubules-in-the-axon
#9
REVIEW
Anand N Rao, Peter W Baas
A longstanding question in cellular neuroscience is how microtubules in the axon become organized with their plus ends out, a pattern starkly different from the mixed orientation of microtubules in vertebrate dendrites. Recent attention has focused on a mechanism called polarity sorting, in which microtubules of opposite orientation are spatially separated by molecular motor proteins. Here we discuss this mechanism, and conclude that microtubules are polarity sorted in the axon by cytoplasmic dynein but that additional factors are also needed...
November 30, 2017: Trends in Neurosciences
https://www.readbyqxmd.com/read/29197616/the-effect-of-monitor-raster-latency-on-veps-erps-and-brain-computer-interface-performance
#10
Sebastian Nagel, Werner Dreher, Wolfgang Rosenstiel, Martin Spüler
BACKGROUND: Visual neuroscience experiments and Brain-Computer Interface (BCI) control often require strict timings in a millisecond scale. As most experiments are performed using a personal computer (PC), the latencies that are introduced by the setup should be taken into account and be corrected. As a standard computer monitor uses a rastering to update each line of the image sequentially, this causes a monitor raster latency which depends on the position, on the monitor and the refresh rate...
November 29, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/29193776/bayesian-statistical-approaches-to-evaluating-cognitive-models
#11
REVIEW
Jeffrey Annis, Thomas J Palmeri
Cognitive models aim to explain complex human behavior in terms of hypothesized mechanisms of the mind. These mechanisms can be formalized in terms of mathematical structures containing parameters that are theoretically meaningful. For example, in the case of perceptual decision making, model parameters might correspond to theoretical constructs like response bias, evidence quality, response caution, and the like. Formal cognitive models go beyond verbal models in that cognitive mechanisms are instantiated in terms of mathematics and they go beyond statistical models in that cognitive model parameters are psychologically interpretable...
November 28, 2017: Wiley Interdisciplinary Reviews. Cognitive Science
https://www.readbyqxmd.com/read/29190328/the-computational-anatomy-of-visual-neglect
#12
Thomas Parr, Karl J Friston
Visual neglect is a debilitating neuropsychological phenomenon that has many clinical implications and-in cognitive neuroscience-offers an important lesion deficit model. In this article, we describe a computational model of visual neglect based upon active inference. Our objective is to establish a computational and neurophysiological process theory that can be used to disambiguate among the various causes of this important syndrome; namely, a computational neuropsychology of visual neglect. We introduce a Bayes optimal model based upon Markov decision processes that reproduces the visual searches induced by the line cancellation task (used to characterize visual neglect at the bedside)...
November 28, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/29180789/the-computations-that-support-simple-decision-making-a-comparison-between-the-diffusion-and-urgency-gating-models
#13
Nathan J Evans, Guy E Hawkins, Udo Boehm, Eric-Jan Wagenmakers, Scott D Brown
We investigate a question relevant to the psychology and neuroscience of perceptual decision-making: whether decisions are based on steadily accumulating evidence, or only on the most recent evidence. We report an empirical comparison between two of the most prominent examples of these theoretical positions, the diffusion model and the urgency-gating model, via model-based qualitative and quantitative comparisons. Our findings support the predictions of the diffusion model over the urgency-gating model, and therefore, the notion that evidence accumulates without much decay...
November 27, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29176638/recursive-exponentially-weighted-n-way-partial-least-squares-regression-with-recursive-validation-of-hyper-parameters-in-brain-computer-interface-applications
#14
Andrey Eliseyev, Vincent Auboiroux, Thomas Costecalde, Lilia Langar, Guillaume Charvet, Corinne Mestais, Tetiana Aksenova, Alim-Louis Benabid
A tensor-input/tensor-output Recursive Exponentially Weighted N-Way Partial Least Squares (REW-NPLS) regression algorithm is proposed for high dimension multi-way (tensor) data treatment and adaptive modeling of complex processes in real-time. The method unites fast and efficient calculation schemes of the Recursive Exponentially Weighted PLS with the robustness of tensor-based approaches. Moreover, contrary to other multi-way recursive algorithms, no loss of information occurs in the REW-NPLS. In addition, the Recursive-Validation method for recursive estimation of the hyper-parameters is proposed instead of conventional cross-validation procedure...
November 24, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29176609/very-high-density-eeg-elucidates-spatiotemporal-aspects-of-early-visual-processing
#15
Amanda K Robinson, Praveen Venkatesh, Matthew J Boring, Michael J Tarr, Pulkit Grover, Marlene Behrmann
Standard human EEG systems based on spatial Nyquist estimates suggest that 20-30 mm electrode spacing suffices to capture neural signals on the scalp, but recent studies posit that increasing sensor density can provide higher resolution neural information. Here, we compared "super-Nyquist" density EEG ("SND") with Nyquist density ("ND") arrays for assessing the spatiotemporal aspects of early visual processing. EEG was measured from 128 electrodes arranged over occipitotemporal brain regions (14 mm spacing) while participants viewed flickering checkerboard stimuli...
November 24, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29172184/-phenomenon-of-perceived-duration-in-the-subjective-present
#16
Ikuya Murakami
Among phenomena involving the subjective present, duration perception is especially worth discussing from the viewpoints of psychophysics, cognitive neuroscience, and computational modeling of underlying mechanisms. First, several situations in which moving visual stimuli appear to last longer are reported. Second, the phenomenon of illusory time compression, which occurs in a moving stimulus after prolonged observation of another stimulus moving at a faster speed, is described. Third, how an attended visual stimulus appears to last longer and how a stimulus appears to last for a shorter duration when attention is directed away are explained...
November 2017: Brain and Nerve, Shinkei Kenkyū No Shinpo
https://www.readbyqxmd.com/read/29167736/on-the-interpretability-and-computational-reliability-of-frequency-domain-granger-causality
#17
Luca Faes, Sebastiano Stramaglia, Daniele Marinazzo
This Correspondence article is a comment which directly relates to the paper "A study of problems encountered in Granger causality analysis from a neuroscience perspective" ( Stokes and Purdon, 2017). We agree that interpretation issues of Granger causality (GC) in neuroscience exist, partially due to the historically unfortunate use of the name "causality", as described in previous literature. On the other hand, we think that Stokes and Purdon use a formulation of GC which is outdated (albeit still used) and do not fully account for the potential of the different frequency-domain versions of GC; in doing so, their paper dismisses GC measures based on a suboptimal use of them...
2017: F1000Research
https://www.readbyqxmd.com/read/29145416/two-is-better-than-one-the-effects-of-strategic-cooperation-on-intra-and-inter-brain-connectivity-by-fnirs
#18
Michela Balconi, Laurent Pezard, Jean-Louis Nandrino, Maria Elide Vanutelli
Inter-brain synchronization during joint actions is a core question in social neuroscience, and the differential contribution of intra- and inter-brain functional connectivity has yet to be clarified along with the role of psychological variables such as perceived self-efficacy. The cognitive performance and the neural activation underlying the execution of joint actions were recorded by functional Near-Infrared imaging during a synchronicity game. An 8-channel array of optodes was positioned over the frontal and prefrontal regions...
2017: PloS One
https://www.readbyqxmd.com/read/29127664/larvalign-aligning-gene-expression-patterns-from-the-larval-brain-of-drosophila-melanogaster
#19
Sascha E A Muenzing, Martin Strauch, James W Truman, Katja Bühler, Andreas S Thum, Dorit Merhof
The larval brain of the fruit fly Drosophila melanogaster is a small, tractable model system for neuroscience. Genes for fluorescent marker proteins can be expressed in defined, spatially restricted neuron populations. Here, we introduce the methods for 1) generating a standard template of the larval central nervous system (CNS), 2) spatial mapping of expression patterns from different larvae into a reference space defined by the standard template. We provide a manually annotated gold standard that serves for evaluation of the registration framework involved in template generation and mapping...
November 10, 2017: Neuroinformatics
https://www.readbyqxmd.com/read/29125987/contextual-modulation-of-sound-processing-in-the-auditory-cortex
#20
REVIEW
C Angeloni, M N Geffen
In everyday acoustic environments, we navigate through a maze of sounds that possess a complex spectrotemporal structure, spanning many frequencies and exhibiting temporal modulations that differ within frequency bands. Our auditory system needs to efficiently encode the same sounds in a variety of different contexts, while preserving the ability to separate complex sounds within an acoustic scene. Recent work in auditory neuroscience has made substantial progress in studying how sounds are represented in the auditory system under different contexts, demonstrating that auditory processing of seemingly simple acoustic features, such as frequency and time, is highly dependent on co-occurring acoustic and behavioral stimuli...
November 7, 2017: Current Opinion in Neurobiology
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