Calcium messenger heterogeneity: a possible signal for spike timing-dependent plasticity.

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：: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：: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：: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：: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：: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：:Feature extraction is an important step in the process of electroencephalogram (EEG) signal classification. The authors propose a "pattern recognition" approach that discriminates EEG signals recorded during different cognitive conditions. Wavelet based feature extraction such as, multi-resolution decompositions into ...

journal_title：Frontiers in computational neuroscience

authors： Amin HU,Mumtaz W,Subhani AR,Saad MNM,Malik AS

更新日期：2017-11-21 00:00:00

abstract：:Pitch is a perceptual correlate of periodicity. Sounds with distinct spectra can elicit the same pitch. Despite the importance of pitch perception, understanding the cellular mechanism of pitch perception is still a major challenge and a mechanistic model of pitch is lacking. A multi-stage neuronal network model is de...

journal_title：Frontiers in computational neuroscience

authors： Huang C,Rinzel J

更新日期：2016-06-16 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：:Obtaining good quality image features is of remarkable importance for most computer vision tasks. It has been demonstrated that the first layers of the human visual cortex are devoted to feature detection. The need for these features has made line, segment, and corner detection one of the most studied topics in comput...

journal_title：Frontiers in computational neuroscience

authors： Bachiller-Burgos P,Manso LJ,Bustos P

更新日期：2018-06-01 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：:Synchrony and asynchrony are essential aspects of the functioning of interconnected neuronal cells and networks. New information on neuronal synchronization can be expected to aid in understanding these systems. Synchronization provides insight in the functional connectivity and the spatial distribution of the informa...

journal_title：Frontiers in computational neuroscience

authors： Kapucu FE,Välkki I,Mikkonen JE,Leone C,Lenk K,Tanskanen JM,Hyttinen JA

更新日期：2016-10-18 00:00:00

abstract：:Internal coordination models hold that early nervous systems evolved in the first place to coordinate internal activity at a multicellular level, most notably the use of multicellular contractility as an effector for motility. A recent example of such a model, the skin brain thesis, suggests that excitable epithelia u...

journal_title：Frontiers in computational neuroscience

authors： de Wiljes OO,van Elburg RA,Biehl M,Keijzer FA

更新日期：2015-09-15 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：: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：:We address a question on the effect of common stochastic inputs on the correlation of the spike trains of two neurons when they are coupled through direct connections. We show that the change in the correlation of small amplitude stochastic inputs can be better detected when the neurons are connected by direct excitat...

journal_title：Frontiers in computational neuroscience

authors： Bolhasani E,Azizi Y,Valizadeh A

更新日期：2013-08-14 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：:Sensitivity analysis can provide useful information when one is interested in identifying the parameter θ of a system since it measures the variations of the output u when θ changes. In the literature two different sensitivity functions are frequently used: the traditional sensitivity functions (TSF) and the generaliz...

journal_title：Frontiers in computational neuroscience

authors： Troparevsky MI,Rubio D,Saintier N

更新日期：2010-09-30 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：: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：: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：:The human brain is a complex system composed by several large scale intrinsic networks with distinct functions. The low frequency oscillation (LFO) signal of blood oxygen level dependent (BOLD), measured through resting-state fMRI, reflects the spontaneous neural activity of these networks. We propose to characterize ...

journal_title：Frontiers in computational neuroscience

authors： Qi S,Gao Q,Shen J,Teng Y,Xie X,Sun Y,Wu J

更新日期：2018-08-03 00:00:00

abstract：:A neural code based on sequences of spikes can consume a significant portion of the brain's energy budget. Thus, energy considerations would dictate that spiking activity be kept as low as possible. However, a high spike-rate improves the coding and representation of signals in spike trains, particularly in sensory sy...

journal_title：Frontiers in computational neuroscience

authors： Jones DL,Johnson EC,Ratnam R

更新日期：2015-06-02 00:00:00

abstract：:Parkinson's disease (PD) is a neurodegenerative disorder which follows from cell loss of dopaminergic neurons in the substantia nigra pars compacta (SNc), a nucleus in the basal ganglia (BG). Deep brain stimulation (DBS) is an electrical therapy that modulates the pathological activity to treat the motor symptoms of P...

journal_title：Frontiers in computational neuroscience

authors： Summerson SR,Aazhang B,Kemere C

更新日期：2015-06-26 00:00:00

abstract：:Recent research in neuroscience indicates the importance of tripartite synapses and gliotransmission mediated by astrocytes in neuronal system modulation. Although the astrocyte and neuronal network functions are interrelated, they are fundamentally different in their signaling patterns and, possibly, the time scales ...

journal_title：Frontiers in computational neuroscience

authors： Lenk K,Satuvuori E,Lallouette J,Ladrón-de-Guevara A,Berry H,Hyttinen JAK

更新日期：2020-01-22 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：:Many of the synapses in the basal ganglia display short-term plasticity. Still, computational models have not yet been used to investigate how this affects signaling. Here we use a model of the basal ganglia network, constrained by available data, to quantitatively investigate how synaptic short-term plasticity affect...

journal_title：Frontiers in computational neuroscience

authors： Lindahl M,Kamali Sarvestani I,Ekeberg O,Kotaleski JH

更新日期：2013-06-19 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：:Common computational principles underlie processing of various visual features in the cortex. They are considered to create similar patterns of contextual modulations in behavioral studies for different features as orientation and direction of motion. Here, I studied the possibility that a single theoretical framework...

journal_title：Frontiers in computational neuroscience

authors： Tzvetanov T

更新日期：2012-05-22 00:00:00