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

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：: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：: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：: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

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

更新日期：2014-09-30 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：: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：:Networks with continuous set of attractors are considered to be a paradigmatic model for parametric working memory (WM), but require fine tuning of connections and are thus structurally unstable. Here we analyzed the network with ring attractor, where connections are not perfectly tuned and the activity state therefor...

journal_title：Frontiers in computational neuroscience

authors： Itskov V,Hansel D,Tsodyks M

更新日期：2011-10-24 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：:What are the functional neuroimaging measurements required for more fully characterizing the events and locations of neocortical activity? A prime assumption has been that modulation of cortical activity will inevitably be reflected in changes in energy utilization (for the most part) changes of glucose and oxygen con...

journal_title：Frontiers in computational neuroscience

authors： Robinson SE,Mandell AJ,Coppola R

更新日期：2013-01-24 00:00:00

abstract：:This paper investigates how a neural network model of the ventral visual pathway, VisNet, can form separate view invariant representations of a number of objects seen rotating together. In particular, in the current work one of the rotating objects is always partially occluded by the other objects present during train...

journal_title：Frontiers in computational neuroscience

authors： Tromans JM,Higgins I,Stringer SM

更新日期：2012-07-25 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：: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：: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：: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：: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：: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：: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

authors： Han F,Wang Z,Fan H

更新日期：2017-02-21 00:00:00

abstract：:Short-term synaptic plasticity is highly diverse across brain area, cortical layer, cell type, and developmental stage. Since short-term plasticity (STP) strongly shapes neural dynamics, this diversity suggests a specific and essential role in neural information processing. Therefore, a correct characterization of sho...

journal_title：Frontiers in computational neuroscience

authors： Costa RP,Sjöström PJ,van Rossum MC

更新日期：2013-06-06 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：: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：: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

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

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

更新日期：2015-04-07 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：:Balanced states in large networks are a usual hypothesis for explaining the variability of neural activity in cortical systems. In this regime the statistics of the inputs is characterized by static and dynamic fluctuations. The dynamic fluctuations have a Gaussian distribution. Such statistics allows to use reverse c...

journal_title：Frontiers in computational neuroscience

authors： Pool RR,Mato G

更新日期：2011-10-12 00:00:00

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

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

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：: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：: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

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

更新日期：2016-06-10 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：: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