Learning modular policies for robotics.

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：:Statistical learning is a learning mechanism based on transition probability in sequences such as music and language. Recent computational and neurophysiological studies suggest that the statistical learning contributes to production, action, and musical creativity as well as prediction and perception. The present stu...

journal_title：Frontiers in computational neuroscience

authors： Daikoku T

更新日期：2019-10-02 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：: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

authors： Manor R,Mishali L,Geva AB

更新日期：2016-12-20 00:00:00

abstract：:Visual appearance of natural objects is profoundly affected by viewing conditions such as viewpoint and illumination. Human subjects can nevertheless compensate well for variations in these viewing conditions. The strategies that the visual system uses to accomplish this are largely unclear. Previous computational stu...

journal_title：Frontiers in computational neuroscience

authors： Bart E,Hegdé J

更新日期：2012-08-24 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：:Motor system uses muscle synergies as a modular organization to simplify the control of movements. Motor cortical impairments, such as stroke and spinal cord injuries, disrupt the orchestration of the muscle synergies and result in abnormal movements. In this paper, the alterations of muscle synergies in subacute stro...

journal_title：Frontiers in computational neuroscience

authors： Pan B,Sun Y,Xie B,Huang Z,Wu J,Hou J,Liu Y,Huang Z,Zhang Z

更新日期：2018-08-21 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：: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：: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：: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：: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：: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 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：: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：: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：: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：: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

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

更新日期：2016-07-14 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：: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：: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：: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

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

更新日期：2015-05-21 00:00:00

abstract：:We do not claim that the brain is completely deterministic, and we agree that noise may be beneficial in some cases. But we suggest that neuronal variability may be often overestimated, due to uncontrolled internal variables, and/or the use of inappropriate reference times. These ideas are not new, but should be re-ex...

journal_title：Frontiers in computational neuroscience

authors： Masquelier T

更新日期：2013-02-25 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：: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：:Many brain regions communicate information through synchronized network activity. Electrical coupling among the dendrites of interneurons in the cortex has been implicated in forming and sustaining such activity in the cortex. Evidence for the existence of electrical coupling among cortical pyramidal cells, however, h...

journal_title：Frontiers in computational neuroscience

authors： Crodelle J,Zhou D,Kovačič G,Cai D

更新日期：2019-05-28 00:00:00

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

authors： Liu S,Wang Q,Fan D

更新日期：2016-04-05 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：:Behavioral studies have shown spatial working memory impairment with aging in several animal species, including humans. Persistent activity of layer 3 pyramidal dorsolateral prefrontal cortex (dlPFC) neurons during delay periods of working memory tasks is important for encoding memory of the stimulus. In vitro studies...

journal_title：Frontiers in computational neuroscience

authors： Ibañez S,Luebke JI,Chang W,Draguljić D,Weaver CM

更新日期：2020-01-17 00:00:00

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

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

更新日期：2015-04-30 00:00:00