Multimodal Neural Network for Rapid Serial Visual Presentation Brain Computer Interface.

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：:Synaptic transmission is both history-dependent and stochastic, resulting in varying responses to presentations of the same presynaptic stimulus. This complicates attempts to infer synaptic parameters and has led to the proposal of a number of different strategies for their quantification. Recently Bayesian approaches...

journal_title：Frontiers in computational neuroscience

authors： Bird AD,Wall MJ,Richardson MJ

更新日期：2016-11-25 00:00:00

abstract：:Sensitivity analysis can provide useful information when one is interested in identifying the parameter θ of a system since it measures the variations of the output u when θ changes. In the literature two different sensitivity functions are frequently used: the traditional sensitivity functions (TSF) and the generaliz...

journal_title：Frontiers in computational neuroscience

authors： Troparevsky MI,Rubio D,Saintier N

更新日期：2010-09-30 00:00:00

abstract：:Statistical models for describing the probability distribution over the states of biological systems are commonly used for dimensional reduction. Among these models, pairwise models are very attractive in part because they can be fit using a reasonable amount of data: knowledge of the mean values and correlations betw...

journal_title：Frontiers in computational neuroscience

authors： Roudi Y,Aurell E,Hertz JA

更新日期：2009-11-17 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：:Experimental studies on the Lateral Geniculate Nucleus (LGN) of mammals and rodents show that the inhibitory interneurons (IN) receive around 47.1% of their afferents from the retinal spiking neurons, and constitute around 20-25% of the LGN cell population. However, there is a definite gap in knowledge about the role ...

journal_title：Frontiers in computational neuroscience

authors： Bhattacharya BS,Bond TP,O'Hare L,Turner D,Durrant SJ

更新日期：2016-11-16 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：: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：: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：: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：:Walking, catching a ball and reaching are all tasks in which humans and animals exhibit advanced motor skills. Findings in biological research concerning motor control suggest a modular control hierarchy which combines movement/motor primitives into complex and natural movements. Engineers inspire their research on th...

journal_title：Frontiers in computational neuroscience

authors： Waegeman T,Hermans M,Schrauwen B

更新日期：2013-07-23 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：: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：:We address a question on the effect of common stochastic inputs on the correlation of the spike trains of two neurons when they are coupled through direct connections. We show that the change in the correlation of small amplitude stochastic inputs can be better detected when the neurons are connected by direct excitat...

journal_title：Frontiers in computational neuroscience

authors： Bolhasani E,Azizi Y,Valizadeh A

更新日期：2013-08-14 00:00:00

abstract：:We present a high-capacity model for one-shot association learning (hetero-associative memory) in sparse networks. We assume that basic patterns are pre-learned in networks and associations between two patterns are presented only once and have to be learned immediately. The model is a combination of an Amit-Fusi like ...

journal_title：Frontiers in computational neuroscience

authors： Einarsson H,Lengler J,Steger A

更新日期：2014-11-07 00:00:00

abstract：:Head direction cells fire to signal the direction in which an animal's head is pointing. They are able to track head direction using only internally-derived information (path integration)In this simulation study we investigate the factors that affect path integration accuracy. Specifically, two major limiting factors ...

journal_title：Frontiers in computational neuroscience

authors： Page HJ,Walters D,Stringer SM

更新日期：2015-02-06 00:00:00

abstract：:A neural code based on sequences of spikes can consume a significant portion of the brain's energy budget. Thus, energy considerations would dictate that spiking activity be kept as low as possible. However, a high spike-rate improves the coding and representation of signals in spike trains, particularly in sensory sy...

journal_title：Frontiers in computational neuroscience

authors： Jones DL,Johnson EC,Ratnam R

更新日期：2015-06-02 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：:Stability is an important dynamical property of complex systems and underpins a broad range of coherent self-organized behavior. Based on evidence that some neurological disorders correspond to linear instabilities, we hypothesize that stability constrains the brain's electrical activity and influences its structure a...

journal_title：Frontiers in computational neuroscience

authors： Gray RT,Robinson PA

更新日期：2013-04-12 00:00:00

abstract：:For large-scale network simulations, it is often desirable to have computationally tractable, yet in a defined sense still physiologically valid neuron models. In particular, these models should be able to reproduce physiological measurements, ideally in a predictive sense, and under different input regimes in which n...

journal_title：Frontiers in computational neuroscience

authors： Hertäg L,Hass J,Golovko T,Durstewitz D

更新日期：2012-09-06 00:00:00

abstract：:In vivo and in vitro experimental studies have found that blocking electrical interactions connecting GABAergic interneurons reduces oscillatory activity in the gamma range in cortex. However, recent theoretical works have shown that the ability of electrical synapses to promote or impede synchrony, when alone, depend...

journal_title：Frontiers in computational neuroscience

authors： Pfeuty B,Golomb D,Mato G,Hansel D

更新日期：2007-11-02 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：: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：: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：: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：: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：: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：: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：:The output of primary visual cortex (V1) is a piecemeal representation of the visual scene and the response of any one cell cannot unambiguously guide sensorimotor behavior. It remains unsolved how subsequent stages of cortical processing combine ("pool") these early visual signals into a coherent representation. We (...

journal_title：Frontiers in computational neuroscience

authors： Rocchi F,Ledgeway T,Webb BS

更新日期：2013-11-18 00:00:00

abstract：:Predictive coding hypothesizes that the brain explicitly infers upcoming sensory input to establish a coherent representation of the world. Although it is becoming generally accepted, it is not clear on which level spiking neural networks may implement predictive coding and what function their connectivity may have. W...

journal_title：Frontiers in computational neuroscience

authors： Kaplan BA,Lansner A,Masson GS,Perrinet LU

更新日期：2013-09-17 00:00:00