Probabilistic Circuits for Autonomous Learning: A Simulation Study.

abstract：:Deep brain stimulation (DBS) leads with radially distributed electrodes have potential to improve clinical outcomes through more selective targeting of pathways and networks within the brain. However, increasing the number of electrodes on clinical DBS leads by replacing conventional cylindrical shell electrodes with ...

journal_title：Frontiers in computational neuroscience

authors： Teplitzky BA,Zitella LM,Xiao Y,Johnson MD

更新日期：2016-06-10 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：: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：: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：: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：: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：:In this paper we investigate the active inference framework as a means to enable autonomous behavior in artificial agents. Active inference is a theoretical framework underpinning the way organisms act and observe in the real world. In active inference, agents act in order to minimize their so called free energy, or p...

journal_title：Frontiers in computational neuroscience

authors： Çatal O,Wauthier S,De Boom C,Verbelen T,Dhoedt B

更新日期：2020-11-16 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：: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：:Background: Convolution neural networks (CNN) is increasingly used in computer science and finds more and more applications in different fields. However, analyzing brain network with CNN is not trivial, due to the non-Euclidean characteristics of brain network built by graph theory. Method: To address this problem, we...

journal_title：Frontiers in computational neuroscience

authors： Meng L,Xiang J

更新日期：2018-12-10 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：: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：: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：: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：:Scaffolds and patterned substrates are among the most successful strategies to dictate the connectivity between neurons in culture. Here, we used numerical simulations to investigate the capacity of physical obstacles placed on a flat substrate to shape structural connectivity, and in turn collective dynamics and effe...

journal_title：Frontiers in computational neuroscience

authors： Ludl AA,Soriano J

更新日期：2020-08-31 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：: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：: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：: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：:Balanced states in large networks are a usual hypothesis for explaining the variability of neural activity in cortical systems. In this regime the statistics of the inputs is characterized by static and dynamic fluctuations. The dynamic fluctuations have a Gaussian distribution. Such statistics allows to use reverse c...

journal_title：Frontiers in computational neuroscience

authors： Pool RR,Mato G

更新日期：2011-10-12 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：: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 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：: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：: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：: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：:Persistent activity observed during delayed-response tasks for spatial working memory (Funahashi et al., 1989) has commonly been modeled by recurrent networks whose dynamics is described as a bump attractor (Compte et al., 2000). We examine the effects of interareal architecture on the dynamics of bump attractors in s...

journal_title：Frontiers in computational neuroscience

authors： Kilpatrick ZP

更新日期：2013-07-01 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：: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：: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