Previous studies have linked tumor lobar presence and laterality to GBM outcomes, suggesting that disease etiology and progression in GBM may be impacted by tumor location. In sum, our study provides direct evidence that DCNNs adopted a hierarchically-evolved sparse coding scheme as the biological brain does, suggesting the possibility of an implementation-independent principle underling object recognition. Acupuncturing the ST36 acupoint can evoke the response of the sensory nervous system, which is translated into output electrical signals in the spinal dorsal root. Please check back frequently for updates. Di Ao, Mohammad S. Shourijeh, Carolynn Patten, Benjamin J. Fregly, Frontiers in Computational Neuroscience, Volume 14; doi:10.3389/fncom.2020.588943.s001. The topographic organization of afferents to the hippocampal CA3 subfield are well-studied, but their role in influencing the spatiotemporal dynamics of population activity is not understood. Year. We expect that our toolbox will accelerate scientific research by both applying DNNs to model biological neural systems and utilizing paradigms of cognitive neuroscience to unveil the black box of DNNs. Principal component analysis with five or six synergies consistently predicted unmeasured muscle excitations the most accurately and with the greatest robustness to EMG normalization method. Journal Abbreviation: FRONT COMPUT NEUROSC. Frontiers in Computational Neuroscience, Volume 14; doi:10.3389/fncom.2020.563439. Frontiers in Computational Neuroscience, 8 (MAY). Journal list; Help; Journal List; Front Comput Neurosci; Frontiers in Computational Neuroscience Vols. Author; Title; Issue year; Journal title; Type; References of "Frontiers in computational neuroscience" First, enhancing lesion on Gd-T1w MRI and peri-lesional hyperintensities on T2w/FLAIR were segmented by experts and then registered to a brain atlas. 2019/2020. Frontiers in Neuroanatomy. A correlation map was constructed to characterize the spatial structure and temporal evolution of pairwise correlations which underlie the emergent patterns found in the population activity. We use equilibrium renewal and Markov renewal processes as spike train models to describe the method in detail, and we provide an illustration on experimental data. In this paper we aim to explore this problem in more detail and to study the possible solution, which is to evaluate the Fano factor in the operational time. Bioxbio Journal Impact*. Abbreviation: Front Comput Neurosci. The Fano factor, defined as the variance-to-mean ratio of spike counts in a time window, is often used to measure the variability of neuronal spike trains. The Standard Abbreviation (ISO4) of Frontiers in Computational Neuroscience is “Front. Neural response activities, especially synchronous spike events, evoked by different acupuncture manipulations have remarkable differences. Multiple Sclerosis Journal. Through the integration of DNN software packages and well-established brain imaging tools, DNNBrain provides application programming and command line interfaces for a variety of research scenarios. Frontiers in computational neuroscience.. [Frontiers Research Foundation. One of the problems is the unclear dependence of the Fano factor on the spiking rate, which is often neglected or handled insufficiently. Although general deep learning frameworks, such as PyTorch and TensorFlow, could be used to allow such cross-disciplinary investigations, the use of these frameworks typically requires high-level programming expertise and comprehensive mathematical knowledge. Journal ISSN: 1662-5188. Xiayu Chen, Ming Zhou, Zhengxin Gong, Wei Xu, Xingyu Liu, Taicheng Huang, Frontiers in Computational Neuroscience, Volume 14; doi:10.3389/fncom.2020.580632. ISSN: 1662-5188 (Electronic) 1662-5188 (Linking) See Frontiers in Computational Neuroscience journal impact factor, SJR, SNIP, CiteScore, H-index metrics. Use Read by QxMD to access full text via your institution or open access sources. Find the right academic journal to publish your paper. Published: (2017) Frontiers in neuroinformatics Published: (2007) Neuroscience … A significant challenge in Glioblastoma (GBM) management is identifying pseudo-progression (PsP), a benign radiation-induced effect, from tumor recurrence, on routine imaging following conventional treatment. Frontiers in Computational Neuroscience. However, a critical challenge for practical deployment of this approach is missing EMG data from muscles that contribute substantially to joint moments. WorldCat Home About WorldCat Help. Frontiers in Computational Neuroscience publishes rigorously peer-reviewed research that promotes theoretical modeling of brain function and fosters multidisciplinary interactions between theoretical and experimental neuroscience. More information will be made available shortly. Frontiers in Neuroinformatics. LEADER: 02172cas a2200505 a 4500: 001: 399527: 005: 20200609044755.0: 006: m d : 007: cr n : 008: 080915c20079999sz uu ss 0 0eng c: 010 Frontiers in Computational Neuroscience [English] ISSNs. Frontiers journals have become a conspicuous presence in academic publishing since they started in 2007 with the advent of Frontiers in Neuroscience. Frontiers in Computational Neuroscience citation style guide with bibliography and in-text referencing examples: Journal articles Books Book chapters Reports Web pages. Frontiers in Computational Neuroscience. Frontiers in Aging Neuroscience. One fine wire EMG channel (either iliopsoas or adductor longus) was then treated as unmeasured. Further, the degree of sparseness was positively correlated with DCNNs' performance in object categorization, suggesting that the coding scheme was related to behavioral performance. In addition, simulation data are also used to analyze the relationship between spike correlations and synchronous spike events. Primarily, theoretical papers should deal with issues of obvious relevance … News • CNS*2020 abstract submission period extended further. Furthermore, the associated joint moment matching accuracy was comparable to that produced by initial EMG-driven model calibration using all 16 EMG channels per leg. Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma?—A Feasibility Study, Hierarchical Sparse Coding of Objects in Deep Convolutional Neural Networks, Evaluation of Synergy Extrapolation for Predicting Unmeasured Muscle Excitations from Measured Muscle Synergies, DNNBrain: A Unifying Toolbox for Mapping Deep Neural Networks and Brains, Topographic Organization of Correlation Along the Longitudinal and Transverse Axes in Rat Hippocampal CA3 Due to Excitatory Afferents, Fano Factor: A Potentially Useful Information, Spiking Correlation Analysis of Synchronous Spikes Evoked by Acupuncture Mechanical Stimulus. The ISSN of Frontiers in Computational Neuroscience journal is 16625188. The scope of Frontiers in Computational Neuroscience covers Neuroscience (miscellaneous) (Q2), Cellular and Molecular Neuroscience (Q3). The Frontiers in Neuroscience journal series — the #1 most-cited in Neuroscience — continued to grow in 2017. Although many observers have advocated the reform of the scholarly publishing system, improvements to functions like peer review have been adopted sluggishly. Click on a pathway for a more detailed view. Frontiers in Computational Neuroscience publishes rigorously peer-reviewed research that promotes theoretical modeling of brain function and fosters multidisciplinary interactions between theoretical and experimental neuroscience. The best quartile for this journal is Q2. Journal info (provided by editor) The editor of Frontiers in Computational Neuroscience has not yet provided information for this page. The method was evaluated using a gait data set collected from a stroke survivor walking on an instrumented treadmill at self-selected and fastest-comfortable speeds. Electromyography (EMG)-driven musculoskeletal modeling relies on high-quality measurements of muscle electrical activity to estimate muscle forces. Frontiers in Computational Neuroscience. SynX performance was most influenced by the choice of synergy analysis algorithm and number of synergies. Here we asked whether DCNNs adopted any of these coding schemes to represent objects. Review this journal Show reviews. Journal Information. This is the main reason why synchronous spikes evoked by reinforcing manipulations are more abundant than reducing manipulations. Frontiers in Computational Neuroscience (NOVEMB). If you are on a personal connection, like at home, you can run an anti-virus scan on your device to make sure it is not infected with malware. , which is often neglected or handled insufficiently Neuroscience journal is 16625188 areas of published are! Of published articles are Neuroscience ( Q3 ) performance was most influenced the! Especially synchronous spike events 2017 ) Frontiers in Computational Neuroscience journal is 16625188 data muscles., Volume 14 ; doi:10.3389/fncom.2020.578158.s001, it remains unclear how objects are represented in DCNNs an. 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