abstract：:In this paper we investigate the active inference framework as a means to enable autonomous behavior in artificial agents. Active inference is a theoretical framework underpinning the way organisms act and observe in the real world. In active inference, agents act in order to minimize their so called free energy, or p...

journal_title：Frontiers in computational neuroscience

authors： Çatal O,Wauthier S,De Boom C,Verbelen T,Dhoedt B

更新日期：2020-11-16 00:00:00

abstract：:Learning from limited exemplars (few-shot learning) is a fundamental, unsolved problem that has been laboriously explored in the machine learning community. However, current few-shot learners are mostly supervised and rely heavily on a large amount of labeled examples. Unsupervised learning is a more natural procedure...

journal_title：Frontiers in computational neuroscience

authors： Ji Z,Zou X,Huang T,Wu S

更新日期：2020-10-14 00:00:00

abstract：:Introduction: The early and therapy-specific prediction of treatment success in major depressive disorder is of paramount importance due to high lifetime prevalence, and heterogeneity of response to standard medication and symptom expression. Hence, this study assessed the predictability of long-term antidepressant ef...

journal_title：Frontiers in computational neuroscience

authors： Klöbl M,Gryglewski G,Rischka L,Godbersen GM,Unterholzner J,Reed MB,Michenthaler P,Vanicek T,Winkler-Pjrek E,Hahn A,Kasper S,Lanzenberger R

更新日期：2020-10-06 00:00:00

abstract：:Objective: To study the effect of directional deep brain stimulation (DBS) electrode configuration and vertical electrode spacing on the volume of tissue activated (VTA) in the globus pallidus, pars interna (GPi). Background: Directional DBS leads may allow clinicians to precisely direct current fields to different fu...

journal_title：Frontiers in computational neuroscience

authors： Zhang S,Tagliati M,Pouratian N,Cheeran B,Ross E,Pereira E

更新日期：2020-09-25 00:00:00

abstract：:Scaffolds and patterned substrates are among the most successful strategies to dictate the connectivity between neurons in culture. Here, we used numerical simulations to investigate the capacity of physical obstacles placed on a flat substrate to shape structural connectivity, and in turn collective dynamics and effe...

journal_title：Frontiers in computational neuroscience

authors： Ludl AA,Soriano J

更新日期：2020-08-31 00:00:00

abstract：:To understand the function of the neocortex, which is a hierarchical distributed network, it is useful giving meaning to the signals transmitted between these areas from the computational viewpoint. The overall anatomical structure or organs related to this network, including the neocortex, thalamus, and basal ganglia...

journal_title：Frontiers in computational neuroscience

authors： Yamakawa H

更新日期：2020-08-18 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：: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：: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：: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：:Spatio-temporal brain activities with variable delay detectable in resting-state functional magnetic resonance imaging (rs-fMRI) give rise to highly reproducible structures, termed cortical lag threads, that propagate from one brain region to another. Using a computational topology of data approach, we found that pers...

journal_title：Frontiers in computational neuroscience

authors： Don APH,Peters JF,Ramanna S,Tozzi A

更新日期：2020-04-22 00:00:00

abstract：:Biological realism of dendritic morphologies is important for simulating electrical stimulation of brain tissue. By adding point process modeling and conditional sampling to existing generation strategies, we provide a novel means of reproducing the nuanced branching behavior that occurs in different layers of granule...

journal_title：Frontiers in computational neuroscience

authors： Chou ZZ,Yu GJ,Berger TW

更新日期：2020-04-09 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：: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：: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

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：:The accurate automatic segmentation of gliomas and its intra-tumoral structures is important not only for treatment planning but also for follow-up evaluations. Several methods based on 2D and 3D Deep Neural Networks (DNN) have been developed to segment brain tumors and to classify different categories of tumors from ...

journal_title：Frontiers in computational neuroscience

authors： Natekar P,Kori A,Krishnamurthi G

更新日期：2020-02-07 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：:Behavioral studies have shown spatial working memory impairment with aging in several animal species, including humans. Persistent activity of layer 3 pyramidal dorsolateral prefrontal cortex (dlPFC) neurons during delay periods of working memory tasks is important for encoding memory of the stimulus. In vitro studies...

journal_title：Frontiers in computational neuroscience

authors： Ibañez S,Luebke JI,Chang W,Draguljić D,Weaver CM

更新日期：2020-01-17 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：:Statistical learning is a learning mechanism based on transition probability in sequences such as music and language. Recent computational and neurophysiological studies suggest that the statistical learning contributes to production, action, and musical creativity as well as prediction and perception. The present stu...

journal_title：Frontiers in computational neuroscience

authors： Daikoku T

更新日期：2019-10-02 00:00:00

abstract：:Many brain regions communicate information through synchronized network activity. Electrical coupling among the dendrites of interneurons in the cortex has been implicated in forming and sustaining such activity in the cortex. Evidence for the existence of electrical coupling among cortical pyramidal cells, however, h...

journal_title：Frontiers in computational neuroscience

authors： Crodelle J,Zhou D,Kovačič G,Cai D

更新日期：2019-05-28 00:00:00

abstract：:Previous studies have shown that the auditory cortex can enhance the perception of behaviorally important sounds in the presence of background noise, but the mechanisms by which it does this are not yet elucidated. Rapid plasticity of spectrotemporal receptive fields (STRFs) in the primary (A1) cortical neurons is obs...

journal_title：Frontiers in computational neuroscience

authors： Chambers JD,Elgueda D,Fritz JB,Shamma SA,Burkitt AN,Grayden DB

更新日期：2019-05-24 00:00:00

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：: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：:Molecular switches, such as the protein kinase CaMKII, play a fundamental role in cell signaling by decoding inputs into either high or low states of activity; because the high activation state can be turned on and persist after the input ceases, these switches have earned a reputation as "digital." Although this on/o...

journal_title：Frontiers in computational neuroscience

authors： Clarke SE

更新日期：2018-11-22 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：:The emergence of motion sensors as a tool that provides objective motor performance data on individuals afflicted with Parkinson's disease offers an opportunity to expand the horizon of clinical care for this neurodegenerative condition. Subjective clinical scales and patient based motor diaries have limited clinometr...

journal_title：Frontiers in computational neuroscience

authors： Ramdhani RA,Khojandi A,Shylo O,Kopell BH

更新日期：2018-09-11 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：:The human brain is a complex system composed by several large scale intrinsic networks with distinct functions. The low frequency oscillation (LFO) signal of blood oxygen level dependent (BOLD), measured through resting-state fMRI, reflects the spontaneous neural activity of these networks. We propose to characterize ...

journal_title：Frontiers in computational neuroscience

authors： Qi S,Gao Q,Shen J,Teng Y,Xie X,Sun Y,Wu J

更新日期：2018-08-03 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：: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：: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：: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：:Dynamics of a homogeneous neural population interacting with active extracellular medium were considered. The corresponding mathematical model was tuned specifically to describe the behavior of interneurons with tonic GABA conductance under the action of non-stationary ambient GABA. The feedback provided by the GABA m...

journal_title：Frontiers in computational neuroscience

authors： Adamchik DA,Matrosov VV,Kazantsev VB

更新日期：2018-04-05 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：: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：: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：:The muscle synergy hypothesis assumes that individual muscle synergies are independent of each other and voluntarily controllable. However, this assumption has not been empirically tested. This study tested if human subjects can voluntarily activate individual muscle synergies extracted by non-negative matrix factoriz...

journal_title：Frontiers in computational neuroscience

authors： Togo S,Imamizu H

更新日期：2017-09-06 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