Striatal Network Models of Huntington's Disease Dysfunction Phenotypes.

abstract：:VISUAL RECEPTIVE FIELD (RF) ATTRIBUTES IN VISUAL CORTEX OF PRIMATES HAVE BEEN EXPLAINED MAINLY FROM CORTICAL CONNECTIONS: visual RFs progress from simple to complex through cortico-cortical pathways from lower to higher levels in the visual hierarchy. This feedforward flow of information is paired with top-down proces...

journal_title：Frontiers in computational neuroscience

authors： Cortes N,van Vreeswijk C

更新日期：2012-05-28 00:00:00

abstract：:A promising idea for scaling robot learning to more complex tasks is to use elemental behaviors as building blocks to compose more complex behavior. Ideally, such building blocks are used in combination with a learning algorithm that is able to learn to select, adapt, sequence and co-activate the building blocks. Whil...

journal_title：Frontiers in computational neuroscience

authors： Neumann G,Daniel C,Paraschos A,Kupcsik A,Peters J

更新日期：2014-06-11 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：: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：: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：: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

authors： Zhang L,Fan D,Wang Q

更新日期：2017-07-11 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：:Introduction: The early and therapy-specific prediction of treatment success in major depressive disorder is of paramount importance due to high lifetime prevalence, and heterogeneity of response to standard medication and symptom expression. Hence, this study assessed the predictability of long-term antidepressant ef...

journal_title：Frontiers in computational neuroscience

authors： Klöbl M,Gryglewski G,Rischka L,Godbersen GM,Unterholzner J,Reed MB,Michenthaler P,Vanicek T,Winkler-Pjrek E,Hahn A,Kasper S,Lanzenberger R

更新日期：2020-10-06 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：:Often we need to perform tasks in an environment that changes stochastically. In these situations it is important to learn the statistics of sequences of events in order to predict the future and the outcome of our actions. The statistical description of many of these sequences can be reduced to the set of probabiliti...

journal_title：Frontiers in computational neuroscience

authors： Ostojic S,Fusi S

更新日期：2013-04-12 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 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

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

更新日期：2016-09-23 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：:The cerebellum is known to play a critical role in learning relevant patterns of activity for adaptive motor control, but the underlying network mechanisms are only partly understood. The classical long-term synaptic plasticity between parallel fibers (PFs) and Purkinje cells (PCs), which is driven by the inferior oli...

journal_title：Frontiers in computational neuroscience

authors： Luque NR,Garrido JA,Carrillo RR,D'Angelo E,Ros E

更新日期：2014-08-15 00:00:00

abstract：:Stability is an important dynamical property of complex systems and underpins a broad range of coherent self-organized behavior. Based on evidence that some neurological disorders correspond to linear instabilities, we hypothesize that stability constrains the brain's electrical activity and influences its structure a...

journal_title：Frontiers in computational neuroscience

authors： Gray RT,Robinson PA

更新日期：2013-04-12 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：: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：: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：: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：: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：: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：:We describe a model for cortical development that resolves long-standing difficulties of earlier models. It is proposed that, during embryonic development, synchronous firing of neurons and their competition for limited metabolic resources leads to selection of an array of neurons with ultra-small-world characteristic...

journal_title：Frontiers in computational neuroscience

authors： Wright JJ,Bourke PD

更新日期：2013-02-15 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：: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：: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：: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：: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：:Dynamics of a homogeneous neural population interacting with active extracellular medium were considered. The corresponding mathematical model was tuned specifically to describe the behavior of interneurons with tonic GABA conductance under the action of non-stationary ambient GABA. The feedback provided by the GABA m...

journal_title：Frontiers in computational neuroscience

authors： Adamchik DA,Matrosov VV,Kazantsev VB

更新日期：2018-04-05 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：: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