Model selection for the extraction of movement primitives.

abstract：:Despite the progress in understanding of neural codes, the studies of the cortico-muscular coupling still largely rely on interferential electromyographic (EMG) signal or its rectification for the assessment of motor neuron pool behavior. This assessment is non-trivial and should be used with precaution. Direct analys...

journal_title：Frontiers in computational neuroscience

authors： Mohebian MR,Marateb HR,Karimimehr S,Mañanas MA,Kranjec J,Holobar A

更新日期：2019-04-02 00:00:00

abstract：:Scientific research produces new knowledge, technologies, and clinical treatments that can lead to enormous returns. Often, the path from basic research to new paradigms and direct impact on society takes time. Precise quantification of scientific output in the short-term is not an easy task but is critical for evalua...

journal_title：Frontiers in computational neuroscience

authors： Kreiman G,Maunsell JH

更新日期：2011-11-10 00:00:00

abstract：:Neuroimaging in combination with graph theory has been successful in analyzing the functional connectome. However almost all analysis are performed based on static graph theory. The derived quantitative graph measures can only describe a snap shot of the disease over time. Neurodegenerative disease evolution is poorly...

journal_title：Frontiers in computational neuroscience

authors： Meyer-Bäse A,Roberts RG,Illan IA,Meyer-Bäse U,Lobbes M,Stadlbauer A,Pinker-Domenig K

更新日期：2017-10-05 00:00:00

abstract：:Calcium concentrations as well as time courses have been used to model the signaling cascades leading to changes in the strength of synaptic connections. Previous models consider the dendritic spines as uniform compartments regarding calcium signaling. However, calcium concentrations can vary drastically on distances ...

journal_title：Frontiers in computational neuroscience

authors： Mihalas S

更新日期：2011-01-13 00:00:00

abstract：:Single-unit measurements have reported many different effects of attention on contrast-response (e.g., contrast-gain, response-gain, additive-offset dependent on visibility), while functional imaging measurements have more uniformly reported increases in response across all contrasts (additive-offset). The normalizati...

journal_title：Frontiers in computational neuroscience

authors： Hara Y,Pestilli F,Gardner JL

更新日期：2014-02-19 00:00:00

abstract：:In temporal lobe epilepsy (TLE), the variation of chemical receptor expression underlies the basis of neural network activity shifts, resulting in neuronal hyperexcitability and epileptiform discharges. However, dynamical mechanisms involved in the transitions of TLE are not fully understood, because of the neuronal d...

journal_title：Frontiers in computational neuroscience

authors： Zhang L,Fan D,Wang Q

更新日期：2017-07-11 00:00:00

abstract：:The problem of cancer risk analysis is of great importance to health-service providers and medical researchers. In this study, we propose a novel Artificial Neural Network (ANN) algorithm based on the probabilistic framework, which aims to investigate patient patterns associated with their disease development. Compare...

journal_title：Frontiers in computational neuroscience

authors： Yang C,Yang J,Liu Y,Geng X

更新日期：2020-07-21 00:00:00

abstract：:Our aim is to propose an efficient algorithm for enhancing the contrast of dark images based on the principle of stochastic resonance in a global feedback spiking network of integrate-and-fire neurons. By linear approximation and direct simulation, we disclose the dependence of the peak signal-to-noise ratio on the sp...

journal_title：Frontiers in computational neuroscience

authors： Fu Y,Kang Y,Chen G

更新日期：2020-05-15 00:00:00

abstract：:Modern machine learning is based on powerful algorithms running on digital computing platforms and there is great interest in accelerating the learning process and making it more energy efficient. In this paper we present a fully autonomous probabilistic circuit for fast and efficient learning that makes no use of dig...

journal_title：Frontiers in computational neuroscience

authors： Kaiser J,Faria R,Camsari KY,Datta S

更新日期：2020-02-25 00:00:00

abstract：:Feature extraction is an important step in the process of electroencephalogram (EEG) signal classification. The authors propose a "pattern recognition" approach that discriminates EEG signals recorded during different cognitive conditions. Wavelet based feature extraction such as, multi-resolution decompositions into ...

journal_title：Frontiers in computational neuroscience

authors： Amin HU,Mumtaz W,Subhani AR,Saad MNM,Malik AS

更新日期：2017-11-21 00:00:00

abstract：:This study proposes a computational model for attentional blink or "blink of the mind," a phenomenon where a human subject misses perception of a later expected visual pattern as two expected visual patterns are presented less than 500 ms apart. A neocortical patch modeled as an attractor network is stimulated with a ...

journal_title：Frontiers in computational neuroscience

authors： Silverstein DN,Lansner A

更新日期：2011-05-03 00:00:00

abstract：:Automatic segmentation of Multiple Sclerosis (MS) lesions from Magnetic Resonance Imaging (MRI) images is essential for clinical assessment and treatment planning of MS. Recent years have seen an increasing use of Convolutional Neural Networks (CNNs) for this task. Although these methods provide accurate segmentation,...

journal_title：Frontiers in computational neuroscience

authors： Ackaouy A,Courty N,Vallée E,Commowick O,Barillot C,Galassi F

更新日期：2020-03-09 00:00:00

abstract：:Motor system uses muscle synergies as a modular organization to simplify the control of movements. Motor cortical impairments, such as stroke and spinal cord injuries, disrupt the orchestration of the muscle synergies and result in abnormal movements. In this paper, the alterations of muscle synergies in subacute stro...

journal_title：Frontiers in computational neuroscience

authors： Pan B,Sun Y,Xie B,Huang Z,Wu J,Hou J,Liu Y,Huang Z,Zhang Z

更新日期：2018-08-21 00:00:00

abstract：:This paper proposed a new method to determine the neuronal tuning curves for maximum information efficiency by computing the optimum firing rate distribution. Firstly, we proposed a general definition for the information efficiency, which is relevant to mutual information and neuronal energy consumption. The energy co...

journal_title：Frontiers in computational neuroscience

authors： Han F,Wang Z,Fan H

更新日期：2017-02-21 00:00:00

abstract：:Affective human-robot interaction requires lightweight software and cheap wearable devices that could further this field. However, the estimation of emotions in real-time poses a problem that has not yet been optimized. An optimization is proposed for the emotion estimation methodology including artifact removal, feat...

journal_title：Frontiers in computational neuroscience

authors： Val-Calvo M,Álvarez-Sánchez JR,Ferrández-Vicente JM,Fernández E

更新日期：2019-11-26 00:00:00

abstract：:The process of conditioning via reward learning is highly relevant to the study of food choice and obesity. Learning is itself shaped by environmental exposure, with the potential for such exposures to vary substantially across individuals and across place and time. In this paper, we use computational techniques to ex...

journal_title：Frontiers in computational neuroscience

authors： Hammond RA,Ornstein JT,Fellows LK,Dubé L,Levitan R,Dagher A

更新日期：2012-10-11 00:00:00

abstract：:The phase-reset model of oscillatory EEG activity has received a lot of attention in the last decades for decoding different cognitive processes. Based on this model, the ERPs are assumed to be generated as a result of phase reorganization in ongoing EEG. Alignment of the phase of neuronal activities can be observed w...

journal_title：Frontiers in computational neuroscience

authors： Mortezapouraghdam Z,Corona-Strauss FI,Takahashi K,Strauss DJ

更新日期：2018-10-08 00:00:00

abstract：:Neurons innervate space by extending axonal and dendritic arborizations. When axons and dendrites come in close proximity of each other, synapses between neurons can be formed. Neurons vary greatly in their morphologies and synaptic connections with other neurons. The size and shape of the arborizations determine the ...

journal_title：Frontiers in computational neuroscience

authors： van Pelt J,van Ooyen A

更新日期：2013-11-25 00:00:00

abstract：:Image registration and segmentation are the two most studied problems in medical image analysis. Deep learning algorithms have recently gained a lot of attention due to their success and state-of-the-art results in variety of problems and communities. In this paper, we propose a novel, efficient, and multi-task algori...

journal_title：Frontiers in computational neuroscience

authors： Estienne T,Lerousseau M,Vakalopoulou M,Alvarez Andres E,Battistella E,Carré A,Chandra S,Christodoulidis S,Sahasrabudhe M,Sun R,Robert C,Talbot H,Paragios N,Deutsch E

更新日期：2020-03-20 00:00:00

abstract：:Relatively recent advances in patch clamp recordings and iontophoresis have enabled unprecedented study of neuronal post-synaptic integration ("dendritic integration"). Findings support a separate layer of integration in the dendritic branches before potentials reach the cell's soma. While integration between branches...

journal_title：Frontiers in computational neuroscience

authors： Singh MF,Zald DH

更新日期：2015-08-10 00:00:00

abstract：:We present a phenomenological model of electrically stimulated auditory nerve fibers (ANFs). The model reproduces the probabilistic and temporal properties of the ANF response to both monophasic and biphasic stimuli, in isolation. The main contribution of the model lies in its ability to reproduce statistics of the AN...

journal_title：Frontiers in computational neuroscience

authors： Horne CD,Sumner CJ,Seeber BU

更新日期：2016-02-08 00:00:00

abstract：:Neuromodulatory inputs from brainstem systems modulate the normal function of spinal motoneurons by altering the activation properties of persistent inward currents (PICs) in their dendrites. However, the effect of the PIC on firing outputs also depends on its location in the dendritic tree. To investigate the interac...

journal_title：Frontiers in computational neuroscience

authors： Kim H,Heckman CJ

更新日期：2014-09-09 00:00:00

abstract：:Visual appearance of natural objects is profoundly affected by viewing conditions such as viewpoint and illumination. Human subjects can nevertheless compensate well for variations in these viewing conditions. The strategies that the visual system uses to accomplish this are largely unclear. Previous computational stu...

journal_title：Frontiers in computational neuroscience

authors： Bart E,Hegdé J

更新日期：2012-08-24 00:00:00

abstract：:Neuron classification is an important component in analyzing network structure and quantifying the effect of neuron topology on signal processing. Current quantification and classification approaches rely on morphology projection onto lower-dimensional spaces. In this paper a 3D visualization and quantification tool i...

journal_title：Frontiers in computational neuroscience

authors： Grein S,Qi G,Queisser G

更新日期：2020-06-26 00:00:00

abstract：:In synapses, calcium is required for modulating synaptic transmission, plasticity, synaptogenesis, and synaptic pruning. The regulation of calcium dynamics within neurons involves cellular mechanisms such as synaptically activated channels and pumps, calcium buffers, and calcium sequestrating organelles. Many experime...

journal_title：Frontiers in computational neuroscience

authors： Hu E,Mergenthal A,Bingham CS,Song D,Bouteiller JM,Berger TW

更新日期：2018-07-27 00:00:00

abstract：:The correlation structure of neural activity is believed to play a major role in the encoding and possibly the decoding of information in neural populations. Recently, several methods were developed for exactly controlling the correlation structure of multi-channel synthetic spike trains (Brette, 2009; Krumin and Shoh...

journal_title：Frontiers in computational neuroscience

authors： Krumin M,Reutsky I,Shoham S

更新日期：2010-11-19 00:00:00

abstract：:VISUAL RECEPTIVE FIELD (RF) ATTRIBUTES IN VISUAL CORTEX OF PRIMATES HAVE BEEN EXPLAINED MAINLY FROM CORTICAL CONNECTIONS: visual RFs progress from simple to complex through cortico-cortical pathways from lower to higher levels in the visual hierarchy. This feedforward flow of information is paired with top-down proces...

journal_title：Frontiers in computational neuroscience

authors： Cortes N,van Vreeswijk C

更新日期：2012-05-28 00:00:00

abstract：:Proprioceptive afferents from muscle spindles encode information about peripheral joint movements for the central nervous system (CNS). The sensitivity of muscle spindle is nonlinearly dependent on the activation of gamma (γ) motoneurons in the spinal cord that receives inputs from the motor cortex. How fusimotor cont...

journal_title：Frontiers in computational neuroscience

authors： Lan N,He X

更新日期：2012-08-30 00:00:00

abstract：:A promising idea for scaling robot learning to more complex tasks is to use elemental behaviors as building blocks to compose more complex behavior. Ideally, such building blocks are used in combination with a learning algorithm that is able to learn to select, adapt, sequence and co-activate the building blocks. Whil...

journal_title：Frontiers in computational neuroscience

authors： Neumann G,Daniel C,Paraschos A,Kupcsik A,Peters J

更新日期：2014-06-11 00:00:00

abstract：:We often encounter pairs of variables in the world whose mutual relationship can be described by a function. After training, human responses closely correspond to these functional relationships. Here we study how humans predict unobserved segments of a function that they have been trained on and we compare how human p...

journal_title：Frontiers in computational neuroscience

authors： Narain D,Smeets JB,Mamassian P,Brenner E,van Beers RJ

更新日期：2014-09-30 00:00:00