Alterations of Muscle Synergies During Voluntary Arm Reaching Movement in Subacute Stroke Survivors at Different Levels of Impairment.

abstract：:Animals try to make sense of sensory information from multiple modalities by categorizing them into perceptions of individual or multiple external objects or internal concepts. For example, the brain constructs sensory, spatial representations of the locations of visual and auditory stimuli in the visual and auditory ...

journal_title：Frontiers in computational neuroscience

authors： Daemi M,Harris LR,Crawford JD

更新日期：2016-06-23 00:00:00

abstract：:Conscious awareness plays a major role in human cognition and adaptive behavior, though its function in multisensory integration is not yet fully understood, hence, questions remain: How does the brain integrate the incoming multisensory signals with respect to different external environments? How are the roles of the...

journal_title：Frontiers in computational neuroscience

authors： Adeel A

更新日期：2020-05-19 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：:Dopaminergic neurons in the mammalian substantia nigra display characteristic phasic responses to stimuli which reliably predict the receipt of primary rewards. These responses have been suggested to encode reward prediction-errors similar to those used in reinforcement learning. Here, we propose a model of dopaminerg...

journal_title：Frontiers in computational neuroscience

authors： Chorley P,Seth AK

更新日期：2011-05-18 00:00:00

abstract：:Predictive coding appears to be one of the fundamental working principles of brain processing. Amongst other aspects, brains often predict the sensory consequences of their own actions. Predictive coding resembles Kalman filtering, where incoming sensory information is filtered to produce prediction errors for subsequ...

journal_title：Frontiers in computational neuroscience

authors： Kneissler J,Drugowitsch J,Friston K,Butz MV

更新日期：2015-04-30 00:00:00

abstract：:What are the functional neuroimaging measurements required for more fully characterizing the events and locations of neocortical activity? A prime assumption has been that modulation of cortical activity will inevitably be reflected in changes in energy utilization (for the most part) changes of glucose and oxygen con...

journal_title：Frontiers in computational neuroscience

authors： Robinson SE,Mandell AJ,Coppola R

更新日期：2013-01-24 00:00:00

abstract：:The motor system generates time-varying commands to move our limbs and body. Conventional descriptions of motor control and learning rely on dynamical representations of our body's state (forward and inverse models), and control policies that must be integrated forward to generate feedforward time-varying commands; th...

journal_title：Frontiers in computational neuroscience

authors： Berniker M,Kording KP

更新日期：2015-03-19 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：:Recent research in neuroscience indicates the importance of tripartite synapses and gliotransmission mediated by astrocytes in neuronal system modulation. Although the astrocyte and neuronal network functions are interrelated, they are fundamentally different in their signaling patterns and, possibly, the time scales ...

journal_title：Frontiers in computational neuroscience

authors： Lenk K,Satuvuori E,Lallouette J,Ladrón-de-Guevara A,Berry H,Hyttinen JAK

更新日期：2020-01-22 00:00:00

abstract：:Obtaining good quality image features is of remarkable importance for most computer vision tasks. It has been demonstrated that the first layers of the human visual cortex are devoted to feature detection. The need for these features has made line, segment, and corner detection one of the most studied topics in comput...

journal_title：Frontiers in computational neuroscience

authors： Bachiller-Burgos P,Manso LJ,Bustos P

更新日期：2018-06-01 00:00:00

abstract：:Two important stimulus features represented within the rodent barrel cortex are velocity and angular direction of whisker deflection. Each cortical barrel receives information from thalamocortical (TC) cells that relay information from a single whisker, and TC input is decoded by barrel regular-spiking (RS) cells thro...

journal_title：Frontiers in computational neuroscience

authors： Patel MJ

更新日期：2018-06-12 00:00:00

abstract：:This paper presents a new model-based method to define muscle synergies. Unlike the conventional factorization approach, which extracts synergies from electromyographic data, the proposed method employs a biomechanical model and formally defines the synergies as the solution of an optimal control problem. As a result,...

journal_title：Frontiers in computational neuroscience

authors： Sharif Razavian R,Mehrabi N,McPhee J

更新日期：2015-10-06 00:00:00

abstract：:Synchrony and asynchrony are essential aspects of the functioning of interconnected neuronal cells and networks. New information on neuronal synchronization can be expected to aid in understanding these systems. Synchronization provides insight in the functional connectivity and the spatial distribution of the informa...

journal_title：Frontiers in computational neuroscience

authors： Kapucu FE,Välkki I,Mikkonen JE,Leone C,Lenk K,Tanskanen JM,Hyttinen JA

更新日期：2016-10-18 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：: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：:Despite an abundance of computational models for learning of synaptic weights, there has been relatively little research on structural plasticity, i.e., the creation and elimination of synapses. Especially, it is not clear how structural plasticity works in concert with spike-timing-dependent plasticity (STDP) and wha...

journal_title：Frontiers in computational neuroscience

authors： Spiess R,George R,Cook M,Diehl PU

更新日期：2016-09-08 00:00:00

abstract：:Background: Convolution neural networks (CNN) is increasingly used in computer science and finds more and more applications in different fields. However, analyzing brain network with CNN is not trivial, due to the non-Euclidean characteristics of brain network built by graph theory. Method: To address this problem, we...

journal_title：Frontiers in computational neuroscience

authors： Meng L,Xiang J

更新日期：2018-12-10 00:00:00

abstract：:The striatum is an important subcortical structure with extensive connections to other regions of the brain. These connections are believed to play important roles in behaviors such as reward-related processes and impulse control, which show significant sex differences. However, little is known about sex differences i...

journal_title：Frontiers in computational neuroscience

authors： Lei X,Han Z,Chen C,Bai L,Xue G,Dong Q

更新日期：2016-09-23 00:00:00

abstract：:Cooperation and competition, as two common and opposite examples of interpersonal dynamics, are thought to be reflected by different cognitive, neural, and behavioral patterns. According to the conventional approach, they have been explored by measuring subjects' reactions during individual performance or turn-based i...

journal_title：Frontiers in computational neuroscience

authors： Balconi M,Vanutelli ME

更新日期：2017-09-29 00:00:00

abstract：:Short-term synaptic plasticity is highly diverse across brain area, cortical layer, cell type, and developmental stage. Since short-term plasticity (STP) strongly shapes neural dynamics, this diversity suggests a specific and essential role in neural information processing. Therefore, a correct characterization of sho...

journal_title：Frontiers in computational neuroscience

authors： Costa RP,Sjöström PJ,van Rossum MC

更新日期：2013-06-06 00:00:00

abstract：:Drosophila larvae crawl by peristaltic waves of muscle contractions, which propagate along the animal body and involve the simultaneous contraction of the left and right side of each segment. Coordinated propagation of contraction does not require sensory input, suggesting that movement is generated by a central patte...

journal_title：Frontiers in computational neuroscience

authors： Gjorgjieva J,Berni J,Evers JF,Eglen SJ

更新日期：2013-04-04 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：:We describe a model for cortical development that resolves long-standing difficulties of earlier models. It is proposed that, during embryonic development, synchronous firing of neurons and their competition for limited metabolic resources leads to selection of an array of neurons with ultra-small-world characteristic...

journal_title：Frontiers in computational neuroscience

authors： Wright JJ,Bourke PD

更新日期：2013-02-15 00:00:00

abstract：:Over the last decade robotics has attracted a great deal of interest from teachers and researchers as a valuable educational tool from preschool to highschool levels. The implementation of social-support behaviors in robot tutors, in particular in the emotional dimension, can make a significant contribution to learnin...

journal_title：Frontiers in computational neuroscience

authors： Imbernón Cuadrado LE,Manjarrés Riesco Á,De La Paz López F

更新日期：2016-08-03 00:00:00

abstract：:In order to be able to examine the extracellular potential's influence on network activity and to better understand dipole properties of the extracellular potential, we present and analyze a three-dimensional formulation of the cable equation which facilitates numeric simulations. When the neuron's intra- and extracel...

journal_title：Frontiers in computational neuroscience

authors： Xylouris K,Wittum G

更新日期：2015-07-17 00:00:00

abstract：:Neuronal action potentials or spikes provide a long-range, noise-resistant means of communication between neurons. As point processes single spikes contain little information in themselves, i.e., outside the context of spikes from other neurons. Moreover, they may fail to cross a synapse. A burst, which consists of a ...

journal_title：Frontiers in computational neuroscience

authors： Zeldenrust F,Wadman WJ,Englitz B

更新日期：2018-07-06 00:00:00

abstract：:We present a network model of striatum, which generates "winnerless" dynamics typical for a network of sparse, unidirectionally connected inhibitory units. We observe that these dynamics, while interesting and a good match to normal striatal electrophysiological recordings, are fragile. Specifically, we find that rand...

journal_title：Frontiers in computational neuroscience

authors： Zheng P,Kozloski J

更新日期：2017-07-27 00:00:00

abstract：:Purpose: This study is to exam self-esteem related brain morphometry on brain magnetic resonance (MR) images using multilevel-features-based classification method. Method: The multilevel region of interest (ROI) features consist of two types of features: (i) ROI features, which include gray matter volume, white matter...

journal_title：Frontiers in computational neuroscience

authors： Peng B,Lu J,Saxena A,Zhou Z,Zhang T,Wang S,Dai Y

更新日期：2017-05-22 00:00:00

abstract：:Astrocytes actively shape the dynamics of neurons and neuronal ensembles by affecting several aspects critical to neuronal function, such as regulating synaptic plasticity, modulating neuronal excitability, and maintaining extracellular ion balance. These pathways for astrocyte-neuron interaction can also enhance the ...

journal_title：Frontiers in computational neuroscience

authors： Volman V,Bazhenov M,Sejnowski TJ

更新日期：2012-08-13 00:00:00

abstract：:Synchronization of neural activity across brain regions is critical to processes that include perception, learning, and memory. After traumatic brain injury (TBI), neuronal degeneration is one possible effect and can alter communication between neural circuits. Consequently, synchronization between neurons may change ...

journal_title：Frontiers in computational neuroscience

authors： Schumm SN,Gabrieli D,Meaney DF

更新日期：2020-03-03 00:00:00