Layer-Dependent Attentional Processing by Top-down Signals in a Visual Cortical Microcircuit Model.

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：: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：: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：: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：: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：: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：: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：:Previous studies have shown that the auditory cortex can enhance the perception of behaviorally important sounds in the presence of background noise, but the mechanisms by which it does this are not yet elucidated. Rapid plasticity of spectrotemporal receptive fields (STRFs) in the primary (A1) cortical neurons is obs...

journal_title：Frontiers in computational neuroscience

authors： Chambers JD,Elgueda D,Fritz JB,Shamma SA,Burkitt AN,Grayden DB

更新日期：2019-05-24 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：:In order to be able to examine the extracellular potential's influence on network activity and to better understand dipole properties of the extracellular potential, we present and analyze a three-dimensional formulation of the cable equation which facilitates numeric simulations. When the neuron's intra- and extracel...

journal_title：Frontiers in computational neuroscience

authors： Xylouris K,Wittum G

更新日期：2015-07-17 00:00:00

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：: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：:This study proposes a computational model for attentional blink or "blink of the mind," a phenomenon where a human subject misses perception of a later expected visual pattern as two expected visual patterns are presented less than 500 ms apart. A neocortical patch modeled as an attractor network is stimulated with a ...

journal_title：Frontiers in computational neuroscience

authors： Silverstein DN,Lansner A

更新日期：2011-05-03 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：: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：: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：:This paper presents a new model-based method to define muscle synergies. Unlike the conventional factorization approach, which extracts synergies from electromyographic data, the proposed method employs a biomechanical model and formally defines the synergies as the solution of an optimal control problem. As a result,...

journal_title：Frontiers in computational neuroscience

authors： Sharif Razavian R,Mehrabi N,McPhee J

更新日期：2015-10-06 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：: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：: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 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：: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：: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：:With the emergence of online publishing, opportunities to maximize transparency of scientific research have grown considerably. However, these possibilities are still only marginally used. We argue for the implementation of (1) peer-reviewed peer review, (2) transparent editorial hierarchies, and (3) online data publi...

journal_title：Frontiers in computational neuroscience

authors： Wicherts JM,Kievit RA,Bakker M,Borsboom D

更新日期：2012-04-03 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：: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：: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：:The role of dendritic spiking mechanisms in neural processing is so far poorly understood. To investigate the role of calcium spikes in the functional properties of the single neuron and recurrent networks, we investigated a three compartment neuron model of the layer 5 pyramidal neuron with calcium dynamics in the di...

journal_title：Frontiers in computational neuroscience

authors： Chua Y,Morrison A

更新日期：2016-07-22 00:00:00

abstract：:Abnormal neuronal synchrony plays an important role in a number of brain diseases. To specifically counteract abnormal neuronal synchrony by desynchronization, Coordinated Reset (CR) stimulation, a spatiotemporally patterned stimulation technique, was designed with computational means. In neuronal networks with spike ...

journal_title：Frontiers in computational neuroscience

authors： Zeitler M,Tass PA

更新日期：2016-05-17 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