Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation.

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：: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 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

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

更新日期：2017-03-10 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：: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：: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：:With the emergence of online publishing, opportunities to maximize transparency of scientific research have grown considerably. However, these possibilities are still only marginally used. We argue for the implementation of (1) peer-reviewed peer review, (2) transparent editorial hierarchies, and (3) online data publi...

journal_title：Frontiers in computational neuroscience

authors： Wicherts JM,Kievit RA,Bakker M,Borsboom D

更新日期：2012-04-03 00:00:00

abstract：:Neuromodulatory inputs from brainstem systems modulate the normal function of spinal motoneurons by altering the activation properties of persistent inward currents (PICs) in their dendrites. However, the effect of the PIC on firing outputs also depends on its location in the dendritic tree. To investigate the interac...

journal_title：Frontiers in computational neuroscience

authors： Kim H,Heckman CJ

更新日期：2014-09-09 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：:A wide range of blind source separation methods have been used in motor control research for the extraction of movement primitives from EMG and kinematic data. Popular examples are principal component analysis (PCA), independent component analysis (ICA), anechoic demixing, and the time-varying synergy model (d'Avella ...

journal_title：Frontiers in computational neuroscience

authors： Endres DM,Chiovetto E,Giese MA

更新日期：2013-12-20 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：: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：: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：: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：: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：: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：: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：: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

authors： Horne CD,Sumner CJ,Seeber BU

更新日期：2016-02-08 00:00:00

abstract：:Although the representation of space is as fundamental to visual processing as the representation of shape, it has received relatively little attention from neurophysiological investigations. In this study we characterize representations of space within visual cortex, and examine how they differ in a first direct comp...

journal_title：Frontiers in computational neuroscience

authors： Sereno AB,Lehky SR

更新日期：2011-02-01 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：: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：: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：:Persistent activity observed during delayed-response tasks for spatial working memory (Funahashi et al., 1989) has commonly been modeled by recurrent networks whose dynamics is described as a bump attractor (Compte et al., 2000). We examine the effects of interareal architecture on the dynamics of bump attractors in s...

journal_title：Frontiers in computational neuroscience

authors： Kilpatrick ZP

更新日期：2013-07-01 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：:Single-unit measurements have reported many different effects of attention on contrast-response (e.g., contrast-gain, response-gain, additive-offset dependent on visibility), while functional imaging measurements have more uniformly reported increases in response across all contrasts (additive-offset). The normalizati...

journal_title：Frontiers in computational neuroscience

authors： Hara Y,Pestilli F,Gardner JL

更新日期：2014-02-19 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 study of sensory signaling in the visual cortex has been greatly advanced by the recording of neural activity simultaneously with the performance of a specific psychophysical task. Individual nerve cells may also increase their firing leading up to the particular choice or decision made on a single psychophysical ...

journal_title：Frontiers in computational neuroscience

authors： Parker AJ

更新日期：2013-08-13 00:00:00

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：:Proprioceptive afferents from muscle spindles encode information about peripheral joint movements for the central nervous system (CNS). The sensitivity of muscle spindle is nonlinearly dependent on the activation of gamma (γ) motoneurons in the spinal cord that receives inputs from the motor cortex. How fusimotor cont...

journal_title：Frontiers in computational neuroscience

authors： Lan N,He X

更新日期：2012-08-30 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