听力与言语-语言病理学

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  • Transition Dynamics of a Dentate Gyrus-CA3 Neuronal Network during Temporal Lobe Epilepsy.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2017.00061

    authors: Zhang L,Fan D,Wang Q

    更新日期:2017-07-11 00:00:00

  • Combined Effects of Feedforward Inhibition and Excitation in Thalamocortical Circuit on the Transitions of Epileptic Seizures.

    abstract::The mechanisms underlying electrophysiologically observed two-way transitions between absence and tonic-clonic epileptic seizures in cerebral cortex remain unknown. The interplay within thalamocortical network is believed to give rise to these epileptic multiple modes of activity and transitions between them. In parti...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2017.00059

    authors: Fan D,Duan L,Wang Q,Luan G

    更新日期:2017-07-07 00:00:00

  • Examining Brain Morphometry Associated with Self-Esteem in Young Adults Using Multilevel-ROI-Features-Based Classification Method.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2017.00037

    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

  • Hyperpolarization-Activated Current Induces Period-Doubling Cascades and Chaos in a Cold Thermoreceptor Model.

    abstract::In this article, we describe and analyze the chaotic behavior of a conductance-based neuronal bursting model. This is a model with a reduced number of variables, yet it retains biophysical plausibility. Inspired by the activity of cold thermoreceptors, the model contains a persistent Sodium current, a Calcium-activate...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2017.00012

    authors: Xu K,Maidana JP,Caviedes M,Quero D,Aguirre P,Orio P

    更新日期:2017-03-10 00:00:00

  • Determine Neuronal Tuning Curves by Exploring Optimum Firing Rate Distribution for Information Efficiency.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2017.00010

    authors: Han F,Wang Z,Fan H

    更新日期:2017-02-21 00:00:00

  • Bursting Neurons in the Hippocampal Formation Encode Features of LFP Rhythms.

    abstract::Burst spike patterns are common in regions of the hippocampal formation such as the subiculum and medial entorhinal cortex (MEC). Neurons in these areas are immersed in extracellular electrical potential fluctuations often recorded as the local field potential (LFP). LFP rhythms within different frequency bands are li...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00133

    authors: Constantinou M,Gonzalo Cogno S,Elijah DH,Kropff E,Gigg J,Samengo I,Montemurro MA

    更新日期:2016-12-26 00:00:00

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

    abstract::Brain computer interfaces allow users to preform various tasks using only the electrical activity of the brain. BCI applications often present the user a set of stimuli and record the corresponding electrical response. The BCI algorithm will then have to decode the acquired brain response and perform the desired task....

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00130

    authors: Manor R,Mishali L,Geva AB

    更新日期:2016-12-20 00:00:00

  • Bayesian Inference of Synaptic Quantal Parameters from Correlated Vesicle Release.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00116

    authors: Bird AD,Wall MJ,Richardson MJ

    更新日期:2016-11-25 00:00:00

  • Analysis of Nociceptive Information Encoded in the Temporal Discharge Patterns of Cutaneous C-Fibers.

    abstract::The generation of pain signals from primary afferent neurons is explained by a labeled-line code. However, this notion cannot apply in a simple way to cutaneous C-fibers, which carry signals from a variety of receptors that respond to various stimuli including agonist chemicals. To represent the discharge patterns of ...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00118

    authors: Cho K,Jang JH,Kim SP,Lee SH,Chung SC,Kim IY,Jang DP,Jung SJ

    更新日期:2016-11-18 00:00:00

  • Causal Role of Thalamic Interneurons in Brain State Transitions: A Study Using a Neural Mass Model Implementing Synaptic Kinetics.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00115

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

    更新日期:2016-11-16 00:00:00

  • Spectral Entropy Based Neuronal Network Synchronization Analysis Based on Microelectrode Array Measurements.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00112

    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

  • The Effects of Capillary Transit Time Heterogeneity (CTH) on the Cerebral Uptake of Glucose and Glucose Analogs: Application to FDG and Comparison to Oxygen Uptake.

    abstract::Glucose is the brain's principal source of ATP, but the extent to which cerebral glucose consumption (CMRglc) is coupled with its oxygen consumption (CMRO2) remains unclear. Measurements of the brain's oxygen-glucose index OGI = CMRO2/CMRglc suggest that its oxygen uptake largely suffices for oxidative phosphorylation...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00103

    authors: Angleys H,Jespersen SN,Østergaard L

    更新日期:2016-10-13 00:00:00

  • Sex Differences in Fiber Connection between the Striatum and Subcortical and Cortical Regions.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00100

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

    更新日期:2016-09-23 00:00:00

  • Structural Plasticity Denoises Responses and Improves Learning Speed.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00093

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

    更新日期:2016-09-08 00:00:00

  • ARTIE: An Integrated Environment for the Development of Affective Robot Tutors.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00077

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

    更新日期:2016-08-03 00:00:00

  • Effects of Calcium Spikes in the Layer 5 Pyramidal Neuron on Coincidence Detection and Activity Propagation.

    abstract::The role of dendritic spiking mechanisms in neural processing is so far poorly understood. To investigate the role of calcium spikes in the functional properties of the single neuron and recurrent networks, we investigated a three compartment neuron model of the layer 5 pyramidal neuron with calcium dynamics in the di...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00076

    authors: Chua Y,Morrison A

    更新日期:2016-07-22 00:00:00

  • Visual Cortex Inspired CNN Model for Feature Construction in Text Analysis.

    abstract::Recently, biologically inspired models are gradually proposed to solve the problem in text analysis. Convolutional neural networks (CNN) are hierarchical artificial neural networks, which include a various of multilayer perceptrons. According to biological research, CNN can be improved by bringing in the attention mod...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00064

    authors: Fu H,Niu Z,Zhang C,Ma J,Chen J

    更新日期:2016-07-14 00:00:00

  • Causal Inference for Cross-Modal Action Selection: A Computational Study in a Decision Making Framework.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00062

    authors: Daemi M,Harris LR,Crawford JD

    更新日期:2016-06-23 00:00:00

  • A Neuronal Network Model for Pitch Selectivity and Representation.

    abstract::Pitch is a perceptual correlate of periodicity. Sounds with distinct spectra can elicit the same pitch. Despite the importance of pitch perception, understanding the cellular mechanism of pitch perception is still a major challenge and a mechanistic model of pitch is lacking. A multi-stage neuronal network model is de...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00057

    authors: Huang C,Rinzel J

    更新日期:2016-06-16 00:00:00

  • Model-Based Comparison of Deep Brain Stimulation Array Functionality with Varying Number of Radial Electrodes and Machine Learning Feature Sets.

    abstract::Deep brain stimulation (DBS) leads with radially distributed electrodes have potential to improve clinical outcomes through more selective targeting of pathways and networks within the brain. However, increasing the number of electrodes on clinical DBS leads by replacing conventional cylindrical shell electrodes with ...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00058

    authors: Teplitzky BA,Zitella LM,Xiao Y,Johnson MD

    更新日期:2016-06-10 00:00:00

  • Anti-kindling Induced by Two-Stage Coordinated Reset Stimulation with Weak Onset Intensity.

    abstract::Abnormal neuronal synchrony plays an important role in a number of brain diseases. To specifically counteract abnormal neuronal synchrony by desynchronization, Coordinated Reset (CR) stimulation, a spatiotemporally patterned stimulation technique, was designed with computational means. In neuronal networks with spike ...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00044

    authors: Zeitler M,Tass PA

    更新日期:2016-05-17 00:00:00

  • Comparative Analysis of Behavioral Models for Adaptive Learning in Changing Environments.

    abstract::Probabilistic models of decision making under various forms of uncertainty have been applied in recent years to numerous behavioral and model-based fMRI studies. These studies were highly successful in enabling a better understanding of behavior and delineating the functional properties of brain areas involved in deci...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00033

    authors: Marković D,Kiebel SJ

    更新日期:2016-04-20 00:00:00

  • Disinhibition-Induced Delayed Onset of Epileptic Spike-Wave Discharges in a Five Variable Model of Cortex and Thalamus.

    abstract::Based on a modified neural field network model composed of cortex and thalamus, we here propose a computational framework to investigate the onset control of absence seizure, which is characterized by the spike-wave discharges. Firstly, we briefly demonstrate the existence of various transition types in Taylor's model...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00028

    authors: Liu S,Wang Q,Fan D

    更新日期:2016-04-05 00:00:00

  • A Phenomenological Model of the Electrically Stimulated Auditory Nerve Fiber: Temporal and Biphasic Response Properties.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2016.00008

    authors: Horne CD,Sumner CJ,Seeber BU

    更新日期:2016-02-08 00:00:00

  • A model-based approach to predict muscle synergies using optimization: application to feedback control.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2015.00121

    authors: Sharif Razavian R,Mehrabi N,McPhee J

    更新日期:2015-10-06 00:00:00

  • Modeling spontaneous activity across an excitable epithelium: Support for a coordination scenario of early neural evolution.

    abstract::Internal coordination models hold that early nervous systems evolved in the first place to coordinate internal activity at a multicellular level, most notably the use of multicellular contractility as an effector for motility. A recent example of such a model, the skin brain thesis, suggests that excitable epithelia u...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2015.00110

    authors: de Wiljes OO,van Elburg RA,Biehl M,Keijzer FA

    更新日期:2015-09-15 00:00:00

  • A simple transfer function for nonlinear dendritic integration.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2015.00098

    authors: Singh MF,Zald DH

    更新日期:2015-08-10 00:00:00

  • A three-dimensional mathematical model for the signal propagation on a neuron's membrane.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2015.00094

    authors: Xylouris K,Wittum G

    更新日期:2015-07-17 00:00:00

  • Investigating irregularly patterned deep brain stimulation signal design using biophysical models.

    abstract::Parkinson's disease (PD) is a neurodegenerative disorder which follows from cell loss of dopaminergic neurons in the substantia nigra pars compacta (SNc), a nucleus in the basal ganglia (BG). Deep brain stimulation (DBS) is an electrical therapy that modulates the pathological activity to treat the motor symptoms of P...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2015.00078

    authors: Summerson SR,Aazhang B,Kemere C

    更新日期:2015-06-26 00:00:00

  • A stimulus-dependent spike threshold is an optimal neural coder.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2015.00061

    authors: Jones DL,Johnson EC,Ratnam R

    更新日期:2015-06-02 00:00:00

  • Input-output relation and energy efficiency in the neuron with different spike threshold dynamics.

    abstract::Neuron encodes and transmits information through generating sequences of output spikes, which is a high energy-consuming process. The spike is initiated when membrane depolarization reaches a threshold voltage. In many neurons, threshold is dynamic and depends on the rate of membrane depolarization (dV/dt) preceding a...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2015.00062

    authors: Yi GS,Wang J,Tsang KM,Wei XL,Deng B

    更新日期:2015-05-27 00:00:00

  • Segmental Bayesian estimation of gap-junctional and inhibitory conductance of inferior olive neurons from spike trains with complicated dynamics.

    abstract::The inverse problem for estimating model parameters from brain spike data is an ill-posed problem because of a huge mismatch in the system complexity between the model and the brain as well as its non-stationary dynamics, and needs a stochastic approach that finds the most likely solution among many possible solutions...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2015.00056

    authors: Hoang H,Yamashita O,Tokuda IT,Sato MA,Kawato M,Toyama K

    更新日期:2015-05-21 00:00:00

  • Simultaneous learning and filtering without delusions: a Bayes-optimal combination of Predictive Inference and Adaptive Filtering.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2015.00047

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

    更新日期:2015-04-30 00:00:00

  • On the role of spatial phase and phase correlation in vision, illusion, and cognition.

    abstract::Numerous findings indicate that spatial phase bears an important cognitive information. Distortion of phase affects topology of edge structures and makes images unrecognizable. In turn, appropriately phase-structured patterns give rise to various illusions of virtual image content and apparent motion. Despite a large ...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2015.00045

    authors: Gladilin E,Eils R

    更新日期:2015-04-21 00:00:00

  • A circular model for song motor control in Serinus canaria.

    abstract::Song production in songbirds is controlled by a network of nuclei distributed across several brain regions, which drives respiratory and vocal motor systems to generate sound. We built a model for birdsong production, whose variables are the average activities of different neural populations within these nuclei of the...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2015.00041

    authors: Alonso RG,Trevisan MA,Amador A,Goller F,Mindlin GB

    更新日期:2015-04-07 00:00:00

  • Deep networks for motor control functions.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2015.00032

    authors: Berniker M,Kording KP

    更新日期:2015-03-19 00:00:00

  • Tracking cortical entrainment in neural activity: auditory processes in human temporal cortex.

    abstract::A primary objective for cognitive neuroscience is to identify how features of the sensory environment are encoded in neural activity. Current auditory models of loudness perception can be used to make detailed predictions about the neural activity of the cortex as an individual listens to speech. We used two such mode...

    journal_title:Frontiers in computational neuroscience

    pub_type: 杂志文章

    doi:10.3389/fncom.2015.00005

    authors: Thwaites A,Nimmo-Smith I,Fonteneau E,Patterson RD,Buttery P,Marslen-Wilson WD

    更新日期:2015-02-10 00:00:00

  • Architectural constraints are a major factor reducing path integration accuracy in the rat head direction cell system.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2015.00010

    authors: Page HJ,Walters D,Stringer SM

    更新日期:2015-02-06 00:00:00

  • A high-capacity model for one shot association learning in the brain.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2014.00140

    authors: Einarsson H,Lengler J,Steger A

    更新日期:2014-11-07 00:00:00

  • Structure learning and the Occam's razor principle: a new view of human function acquisition.

    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

    pub_type: 杂志文章

    doi:10.3389/fncom.2014.00121

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

    更新日期:2014-09-30 00:00:00

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