Interareal coupling reduces encoding variability in multi-area models of spatial working memory.

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 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：:Statistical models for describing the probability distribution over the states of biological systems are commonly used for dimensional reduction. Among these models, pairwise models are very attractive in part because they can be fit using a reasonable amount of data: knowledge of the mean values and correlations betw...

journal_title：Frontiers in computational neuroscience

authors： Roudi Y,Aurell E,Hertz JA

更新日期：2009-11-17 00:00:00

abstract：:Calcium concentrations as well as time courses have been used to model the signaling cascades leading to changes in the strength of synaptic connections. Previous models consider the dendritic spines as uniform compartments regarding calcium signaling. However, calcium concentrations can vary drastically on distances ...

journal_title：Frontiers in computational neuroscience

authors： Mihalas S

更新日期：2011-01-13 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：:Affective human-robot interaction requires lightweight software and cheap wearable devices that could further this field. However, the estimation of emotions in real-time poses a problem that has not yet been optimized. An optimization is proposed for the emotion estimation methodology including artifact removal, feat...

journal_title：Frontiers in computational neuroscience

authors： Val-Calvo M,Álvarez-Sánchez JR,Ferrández-Vicente JM,Fernández E

更新日期：2019-11-26 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：:We present a network model of striatum, which generates "winnerless" dynamics typical for a network of sparse, unidirectionally connected inhibitory units. We observe that these dynamics, while interesting and a good match to normal striatal electrophysiological recordings, are fragile. Specifically, we find that rand...

journal_title：Frontiers in computational neuroscience

authors： Zheng P,Kozloski J

更新日期：2017-07-27 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：: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：: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：: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：: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：:A major puzzle in the field of computational neuroscience is how to relate system-level learning in higher organisms to synaptic plasticity. Recently, plasticity rules depending not only on pre- and post-synaptic activity but also on a third, non-local neuromodulatory signal have emerged as key candidates to bridge th...

journal_title：Frontiers in computational neuroscience

authors： Potjans W,Morrison A,Diesmann M

更新日期：2010-11-23 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：: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：:Our aim is to propose an efficient algorithm for enhancing the contrast of dark images based on the principle of stochastic resonance in a global feedback spiking network of integrate-and-fire neurons. By linear approximation and direct simulation, we disclose the dependence of the peak signal-to-noise ratio on the sp...

journal_title：Frontiers in computational neuroscience

authors： Fu Y,Kang Y,Chen G

更新日期：2020-05-15 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：: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：:Conscious awareness plays a major role in human cognition and adaptive behavior, though its function in multisensory integration is not yet fully understood, hence, questions remain: How does the brain integrate the incoming multisensory signals with respect to different external environments? How are the roles of the...

journal_title：Frontiers in computational neuroscience

authors： Adeel A

更新日期：2020-05-19 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：: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：:Scientific research produces new knowledge, technologies, and clinical treatments that can lead to enormous returns. Often, the path from basic research to new paradigms and direct impact on society takes time. Precise quantification of scientific output in the short-term is not an easy task but is critical for evalua...

journal_title：Frontiers in computational neuroscience

authors： Kreiman G,Maunsell JH

更新日期：2011-11-10 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：: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：: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：: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：: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：: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：: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