Neural circuits for peristaltic wave propagation in crawling Drosophila larvae: analysis and modeling.

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：: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

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

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

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：: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：: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：:Common computational principles underlie processing of various visual features in the cortex. They are considered to create similar patterns of contextual modulations in behavioral studies for different features as orientation and direction of motion. Here, I studied the possibility that a single theoretical framework...

journal_title：Frontiers in computational neuroscience

authors： Tzvetanov T

更新日期：2012-05-22 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：: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

authors： Angleys H,Jespersen SN,Østergaard L

更新日期：2016-10-13 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：:The histograms of response times of optimal YES/NO decisions that are computed from a single sensory Poisson neuron are highly structured. In particular, response times in NO decisions are quantized to a small set of times, while response times in YES decisions have a multimodal structure. Both the times of NO decisio...

journal_title：Frontiers in computational neuroscience

authors： Perona P

更新日期：2014-04-11 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：: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：: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：:Neuronal networks in rodent barrel cortex are characterized by stable low baseline firing rates. However, they are sensitive to the action potentials of single neurons as suggested by recent single-cell stimulation experiments that reported quantifiable behavioral responses in response to short spike trains elicited i...

journal_title：Frontiers in computational neuroscience

authors： Vasquez JC,Houweling AR,Tiesinga P

更新日期：2013-11-07 00:00:00

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

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

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

authors： Marković D,Kiebel SJ

更新日期：2016-04-20 00:00:00

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

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

更新日期：2015-05-27 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：: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：: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：: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

authors： Chua Y,Morrison A

更新日期：2016-07-22 00:00:00

abstract：:A vast amount of information about the external world continuously flows into the brain, whereas its capacity to process such information is limited. Attention enables the brain to allocate its resources of information processing to selected sensory inputs for reducing its computational load, and effects of attention ...

journal_title：Frontiers in computational neuroscience

authors： Wagatsuma N,Potjans TC,Diesmann M,Fukai T

更新日期：2011-07-08 00:00:00

abstract：:Cortical neurons are typically driven by several thousand synapses. The precise spatiotemporal pattern formed by these inputs can modulate the response of a post-synaptic cell. In this work, we explore how the temporal structure of pre-synaptic inhibitory and excitatory inputs impact the post-synaptic firing of a cond...

journal_title：Frontiers in computational neuroscience

authors： Scheller B,Castellano M,Vicente R,Pipa G

更新日期：2011-12-16 00:00:00

abstract：:A classic problem in neuroscience is how temporal sequences (TSs) can be recognized. This problem is exemplified in the olfactory system, where an odor is defined by the TS of olfactory bulb (OB) output that occurs during a sniff. This sequence is discrete because the output is subdivided by gamma frequency oscillatio...

journal_title：Frontiers in computational neuroscience

authors： Sanders H,Kolterman BE,Shusterman R,Rinberg D,Koulakov A,Lisman J

更新日期：2014-09-17 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：:The extent to which groups of neurons exhibit higher-order correlations in their spiking activity is a controversial issue in current brain research. A major difficulty is that currently available tools for the analysis of massively parallel spike trains (N >10) for higher-order correlations typically require vast sam...

journal_title：Frontiers in computational neuroscience

authors： Staude B,Grün S,Rotter S

更新日期：2010-07-02 00:00:00

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

authors： Fan D,Duan L,Wang Q,Luan G

更新日期：2017-07-07 00:00:00

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

authors： Summerson SR,Aazhang B,Kemere C

更新日期：2015-06-26 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