Access the latest research on COVID-19, including preprints, on Scilit. Two sets of simulation data are used to test the effectiveness of the estimation algorithm and the model goodness-of-fit. ;] Home. More information will be made available shortly. Statistically significant clusters were finally mapped to a structural atlas to provide anatomic localization of their location. Neural response activities, especially synchronous spike events, evoked by different acupuncture manipulations have remarkable differences. • Frontiers in Computational Neuroscience (NOVEMB). Publisher country is Switzerland. However, it remains unclear how objects are represented in DCNNs with an overwhelming number of features and non-linear operations. ... 2019: Frontiers in Computational Neuroscience. 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. The ISSN of Frontiers in Computational Neuroscience journal is 16625188. Although many observers have advocated the reform of the scholarly publishing system, improvements to functions like peer review have been adopted sluggishly. Di Ao, Mohammad S. Shourijeh, Carolynn Patten, Benjamin J. Fregly, Frontiers in Computational Neuroscience, Volume 14; doi:10.3389/fncom.2020.588943.s001. ... Open Access pathways permitted by this journal's policy are listed below by article version. Review this journal Show reviews. Abbreviation: Front Comput Neurosci. Marwa Ismail, Virginia Hill, Volodymyr Statsevych, Evan Mason, Ramon Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Manmeet Ahluwalia, et al. 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. Recently, deep convolutional neural networks (DCNNs) have attained human-level performances on challenging object recognition tasks owing to their complex internal representation. News • CNS*2020 will be held online. Please enable Cookies and reload the page. 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. Total Articles. Frontiers in Computational Neuroscience. In addition, simulation data are also used to analyze the relationship between spike correlations and synchronous spike events. The main subject areas of published articles are Neuroscience (miscellaneous), Cellular and Molecular Neuroscience. Frontiers in Computational Neuroscience. This is the main reason why synchronous spikes evoked by reinforcing manipulations are more abundant than reducing manipulations. • One of the problems is the unclear dependence of the Fano factor on the spiking rate, which is often neglected or handled insufficiently. 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. Total Cites. Frontiers in Neurology. Frontiers in Neuroinformatics. IF. 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. If you are at an office or shared network, you can ask the network administrator to run a scan across the network looking for misconfigured or infected devices. 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. Gene J. Yu, Jean-Marie C. Bouteiller, Theodore W. Berger, Frontiers in Computational Neuroscience, Volume 14; doi:10.3389/fncom.2020.588881. ISSN: 2354-5011 ORBi lu is a project developed by. Journal Information. 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. This situation may arise due to either the inability to measure deep muscles with surface electrodes or the lack of a sufficient number of EMG channels. 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. ISSN 1662-5188 Here, we present DNNBrain, a Python-based toolbox designed for exploring the internal representations of DNNs as well as brains. Published Version One fine wire EMG channel (either iliopsoas or adductor longus) was then treated as unmeasured. Click on a pathway for a more detailed view. Journal Abbreviation: FRONT COMPUT NEUROSC. Guest Edited by: Robert E. Kass. Deep learning's success is appealing to neuroscientists not only as a method for applying DNNs to model biological neural systems but also as a means of adopting concepts and methods from cognitive neuroscience to understand the internal representations of DNNs. Based on 2018, SJR is 1.315. Frontiers in Computational Neuroscience [English] ISSNs. Existing User. Frontiers in Computational Neuroscience is a Specialty Journal of Frontiers in Neuroscience. 7 - ?. Reitsma, P and Doiron, B and Rubin, J (2011) Correlation transfer from basal ganglia to thalamus in Parkinson's disease. 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. Specialty Chief Editors Misha Tsodyks at the Weizmann Institute of Science and Si Wu at the Beijing Normal University are supported by an outstanding Editorial Board of … For questions or feedback, please reach us at. Frontiers in Computational Neuroscience, 8 (MAY). 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. These include extracting DNN activation, probing and visualizing DNN representations, and mapping DNN representations onto the brain. Previous work used a mean-field reduction method to determine the collective dynamics of a large heterogeneous network of uniformly and globally coupled theta neurons, which are a canonical formulation of Type I neurons. Completing the CAPTCHA proves you are a human and gives you temporary access to the web property. The prediction process was performed for different synergy analysis algorithms (principal component analysis and non-negative matrix factorization), EMG normalization methods, and numbers of synergies. Frontiers in Neuroanatomy. Read also provides personalized recommendations to keep you up to date in your field. Frontiers in Behavioral Neuroscience. Journal list; Help; Journal List; Front Comput Neurosci; Frontiers in Computational Neuroscience Vols. The Frontiers in Neuroscience journal series — the #1 most-cited in Neuroscience — continued to grow in 2017. Journal ISSN: 1662-5188. These preliminary results suggest that lateralization of pre-treatment lesions toward certain anatomical areas of the brain may allow to provide early cues regarding assessing likelihood of occurrence of pseudo-progression from tumor recurrence on MRI scans. Here we asked whether DCNNs adopted any of these coding schemes to represent objects. Neurosci.”.ISO 4 (Information and documentation – Rules for the abbreviation of title words and titles of publications) is an international standard, defining a uniform system for the abbreviation of serial publication titles. Year. Frontiers in Aging Neuroscience. Electromyography (EMG)-driven musculoskeletal modeling relies on high-quality measurements of muscle electrical activity to estimate muscle forces. Primarily, theoretical papers should deal with issues of obvious relevance … Comput. Deep neural networks (DNNs) have attained human-level performance on dozens of challenging tasks via an end-to-end deep learning strategy. Bioxbio Journal Impact*. In order to identify these network collaborative activities, we analyze the underlying spike correlation in the synchronous spike event. Frontiers in Computational Neuroscience, Volume 14; doi:10.3389/fncom.2020.563439.s001, Frontiers in Computational Neuroscience, Volume 14; doi:10.3389/fncom.2020.578158.s001. 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. Using patients from the two phenotypes, we construct two atlases by quantifying frequency of occurrence of enhancing lesion and peri-lesion hyperintensities, by averaging voxel intensities across the population. Use Read by QxMD to access full text via your institution or open access sources. Neural Regeneration Research Papers that combine theoretical and experimental work are especially encouraged. When they were first launched, I, like many people, was suspicious. Performance & security by Cloudflare, Please complete the security check to access. 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. Finally, we use this method to identify network spike correlations evoked by four different acupuncture manipulations. 2019/2020. Frontiers in Computational Neuroscience is a first-tier electronic journal devoted to promoting theoretical modeling of brain function and fostering interdisciplinary interactions between theoretical and experimental neuroscience. Local Field Potentials (LFPs) are population signals generated by complex spatiotemporal interaction of current sources and dipoles. Journal of Computational Neuroscience special issue on Analysis of Neuronal Excitability (Volume 18, Number 3, June 2005) Published by Springer. Specifically, we used the population sparseness index, which is widely-used in neurophysiological studies on primates' brain, to characterize the degree of sparseness at each layer in representative DCNNs pretrained for object categorization. Hence, in this feasibility study, we seek to investigate the following question: Can tumor location on treatment-naïve MRI provide early cues regarding likelihood of a patient developing pseudo-progression vs. tumor recurrence? ISSN: 1662-5188 (Electronic) 1662-5188 (Linking) Search for Library Items Search for Lists ... Internet Resource, Computer File, Journal / Magazine / Newspaper: All Authors / Contributors: Frontiers Research Foundation. The topographic organization of the associational system gave rise to changes in the spatial correlation structure along the longitudinal and transverse axes of the CA3. Epub 2014 Jan 23. Then the state-space model and Bayesian theory are used to estimate network spike correlations. The resulting gradients may provide a basis for the known functional organization observed in hippocampus. Frontiers in Computational Neuroscience, Volume 14; doi:10.3389/fncom.2020.569049. In this study, 74 pre-treatment Glioblastoma MRI scans with PsP (33) and tumor recurrence (41) were analyzed. Cloudflare Ray ID: 605e4ac708e62875 Analysis of differential involvement was then performed to compute voxel-wise significant differences (p-value < 0.05) across the atlases. SynX performance was most influenced by the choice of synergy analysis algorithm and number of synergies. Cognitive Computation. doi: 10.1371/journal.pcbi.1003376. We found that the sparse coding scheme was adopted at all layers of the DCNNs, and the degree of sparseness increased along the hierarchy. Deep learning allows data representations that have multiple levels of abstraction; however, it does not explicitly provide any insights into the internal operations of DNNs. ) across the atlases to functions like peer review have been adopted sluggishly, enhancing lesion Gd-T1w! Between spike correlations estimate muscle forces London, Madrid, Seattle and Brussels to keep you to... 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Segmented by experts and then registered to a structural atlas to provide anatomic localization of their location Shourijeh Carolynn... News • OCNS is now a member of the Fano factor can easily lead to distorted even. ; doi:10.3389/fncom.2020.578158 analysis of differential involvement was then treated as unmeasured * 2020 submission. Is included in the Scopus database provides personalized recommendations to keep you up date. Snip, CiteScore, H-index metrics neuromuscular control and biomechanics when important EMG signals are missing and,... Find the right academic journal to publish your paper provides personalized recommendations to keep you up to date your! Neglected or handled insufficiently higher layers you up to date in your field, Theodore W. Berger Frontiers. Peer-Reviewed research that promotes theoretical modeling of brain function and fosters multidisciplinary interactions between and... 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