Published Version 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. 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. View all articles. Cloudflare Ray ID: 605e4ac708e62875 Year. Abbreviation: Front Comput Neurosci. (2014) Current Practice in Software Development for Computational Neuroscience and How to Improve It PLOS Computational Biology, 10(1):e1003376. Primarily, theoretical papers should deal with issues of obvious relevance … Author; Title; Issue year; Journal title; Type; References of "Frontiers in computational neuroscience" Total Articles. You may need to download version 2.0 now from the Chrome Web Store. 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. Comput. In this study, 74 pre-treatment Glioblastoma MRI scans with PsP (33) and tumor recurrence (41) were analyzed. 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. News • OCNS is now a member of the INCF. Frontiers in Neurology. 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. Review this journal Show reviews. The Journal of Computational Neuroscience welcomes full length original papers, rapid communications and review articles describing theoretical and experimental work relevant to computations in the brain and nervous system. I like Frontiers Computational Neuroscience a lot, but I won’t pretend they have an impressive impact factor (if that matters). 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. WorldCat Home About WorldCat Help. 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. 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. Frontiers in computational neuroscience.. [Frontiers Research Foundation. Frontiers in Computational Neuroscience, 8 (MAY). Frontiers in Computational Neuroscience (NOVEMB). Multiple Sclerosis Journal. Journal Abbreviation: FRONT COMPUT NEUROSC. Then the state-space model and Bayesian theory are used to estimate network spike correlations. The main subject areas of published articles are Neuroscience (miscellaneous), Cellular and Molecular Neuroscience. 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. The Frontiers in Neuroscience journal series continues to rank among the world’s top neurosciences journals in terms of influence and quality, as shown by our analysis of the 2017 Journal Citation Reports (JCR-2017; 2018, Clarivate Analytics), 2017 CiteScore edition (2018, Scopus, Elsevier) and other impact metrics.. The scientific journal Frontiers in Computational Neuroscience is included in the Scopus database. Gene J. Yu, Jean-Marie C. Bouteiller, Theodore W. Berger, Frontiers in Computational Neuroscience, Volume 14; doi:10.3389/fncom.2020.588881. SynX may facilitate the assessment of human neuromuscular control and biomechanics when important EMG signals are missing. 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. Completing the CAPTCHA proves you are a human and gives you temporary access to the web property. IF. Deep neural networks (DNNs) have attained human-level performance on dozens of challenging tasks via an end-to-end deep learning strategy. PLUS: Download citation style files for your favorite reference manager. The evaluation process started with full calibration of a lower-body EMG-driven model using 16 measured EMG channels (collected using surface and fine wire electrodes) per leg. Recently, deep convolutional neural networks (DCNNs) have attained human-level performances on challenging object recognition tasks owing to their complex internal representation. Here we asked whether DCNNs adopted any of these coding schemes to represent objects. These include extracting DNN activation, probing and visualizing DNN representations, and mapping DNN representations onto the brain. In this paper, we adopt a log-linear model to describe network response activities evoked by different acupuncture manipulations. Want full text access to this journal? Results show that reinforcing manipulations (twirling reinforcing and lifting-thrusting reinforcing) can evoke the third-order spike correlation but reducing manipulations (twirling reducing and lifting-thrusting reducing) does not. LEADER: 02172cas a2200505 a 4500: 001: 399527: 005: 20200609044755.0: 006: m d : 007: cr n : 008: 080915c20079999sz uu ss 0 0eng c: 010 The Frontiers in Neuroscience journal series — the #1 most-cited in Neuroscience — continued to grow in 2017. 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. Using a large-scale, computational neuronal network model of the entorhinal-dentate-CA3 system, the effects of the perforant path, mossy fibers, and associational system on the propagation and transformation of network spiking patterns were investigated. Another way to prevent getting this page in the future is to use Privacy Pass. ISSN 1662-5188 The Standard Abbreviation (ISO4) of Frontiers in Computational Neuroscience is “Front. Frontiers in Neuroinformatics. Xiayu Chen, Ming Zhou, Zhengxin Gong, Wei Xu, Xingyu Liu, Taicheng Huang, Frontiers in Computational Neuroscience, Volume 14; doi:10.3389/fncom.2020.580632. The resulting gradients may provide a basis for the known functional organization observed in hippocampus. It is used for the recognition of journals, newspapers, periodicals, and magazines … Publisher country is Switzerland. Existing User. Electromyography (EMG)-driven musculoskeletal modeling relies on high-quality measurements of muscle electrical activity to estimate muscle forces. • 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. 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. Bioxbio Journal Impact*. Based on 2018, SJR is 1.315. 【Frontiers in Computational Neuroscience】CiteScore Trend Comments from Authors * All review process metrics, such as acceptance rate and review speed, are limited to … The synergy weights associated with the unmeasured muscle excitation were predicted by solving a nonlinear optimization problem where the errors between inverse dynamics and EMG-driven joint moments were minimized. That is, the coding scheme shifted from distributed-like coding at lower layers to local-like coding at higher layers. Total Cites. 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 … Frontiers in Computational Neuroscience citation style guide with bibliography and in-text referencing examples: Journal articles Books Book chapters Reports Web pages. ... Open Access pathways permitted by this journal's policy are listed below by article version. 7 - ?. Frontiers in Computational Neuroscience [English] ISSNs. Statistically significant clusters were finally mapped to a structural atlas to provide anatomic localization of their location. Use Read by QxMD to access full text via your institution or open access sources. 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. doi: 10.1371/journal.pcbi.1003376. The ISSN of Frontiers in Computational Neuroscience journal is 16625188. 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. Comprehending how the brain functions requires an understanding of the dynamics of neuronal assemblies. Frontiers in Computational Neuroscience is a peer-reviewed scientific journal. However, a critical challenge for practical deployment of this approach is missing EMG data from muscles that contribute substantially to joint moments. One of the problems is the unclear dependence of the Fano factor on the spiking rate, which is often neglected or handled insufficiently. OCNS is now a member of the INCF. Local Field Potentials (LFPs) are population signals generated by complex spatiotemporal interaction of current sources and dipoles. One fine wire EMG channel (either iliopsoas or adductor longus) was then treated as unmeasured. Journal info (provided by editor) The editor of Frontiers in Computational Neuroscience has not yet provided information for this page. 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. Reitsma, P and Doiron, B and Rubin, J (2011) Correlation transfer from basal ganglia to thalamus in Parkinson's disease. However, it remains unclear how objects are represented in DCNNs with an overwhelming number of features and non-linear operations. Our results demonstrate that patients with tumor recurrence showed prominence of their initial tumor in the parietal lobe, while patients with PsP showed a multi-focal distribution of the initial tumor in the frontal and temporal lobes, insula, and putamen. 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. Finally, with the lesion approach, we demonstrated that both external learning experiences and built-in gating operations were necessary to construct such a hierarchical coding scheme. Gewaltig, M. and Cannon, R.C. Here, we present DNNBrain, a Python-based toolbox designed for exploring the internal representations of DNNs as well as brains. ISSN: 1662-5188 (Electronic) 1662-5188 (Linking) Frontiers in Computational Neuroscience. Your IP: 200.111.112.34 Search for Library Items Search for Lists ... Internet Resource, Computer File, Journal / Magazine / Newspaper: All Authors / Contributors: Frontiers Research Foundation. 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. Muscle synergy analysis (MSA) is a dimensionality reduction approach that decomposes a large number of muscle excitations into a small number of time-varying synergy excitations along with time-invariant synergy weights that define the contribution of each synergy excitation to all muscle excitations. Journal Information. 2019/2020. Find the right academic journal to publish your paper. When they were first launched, I, like many people, was suspicious. Cognitive Computation. More information will be made available shortly. 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. SynX performance was most influenced by the choice of synergy analysis algorithm and number of synergies. Neural response activities, especially synchronous spike events, evoked by different acupuncture manipulations have remarkable differences. Frontiers in Computational Neuroscience. Frontiers journals have become a conspicuous presence in academic publishing since they started in 2007 with the advent of Frontiers in Neuroscience. This is the main reason why synchronous spikes evoked by reinforcing manipulations are more abundant than reducing manipulations. Frontiers in Computational Neuroscience is a Specialty Journal of Frontiers in Neuroscience. Finally, we use this method to identify network spike correlations evoked by four different acupuncture manipulations. Further, the degree of sparseness was positively correlated with DCNNs' performance in object categorization, suggesting that the coding scheme was related to behavioral performance. Frontiers in Behavioral Neuroscience. Journal list; Help; Journal List; Front Comput Neurosci; Frontiers in Computational Neuroscience Vols. Guest Edited by: Robert E. Kass. 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. Frontiers in evolutionary neuroscience; Neurology, neurophysiology, and neuroscience; Translational psychiatry; Neuroreport; Neurology & clinical neurophysiology : NCN; BMC bioinformatics; Journal of neurological sciences ; Reviews in the neurosciences; In silico biology; Journal of bioinformatics and computational biology Frontiers in Computational Neuroscience. For questions or feedback, please reach us at. BibTeX @MISC{Yuan13journalname:, author = {Wujie Yuan and Olaf Dimigen and Werner Sommer and Changsong Zhou and Citation Yuan W and Dimigen O and Sommer W and Wu-jie Yuan and Olaf Dimigen and Werner Sommer and Changsong Zhou}, title = {Journal Name: Frontiers in Computational Neuroscience}, year = {2013}} Search. Issues per year n/a Articles published last year n/a An International Standard Serial Number (ISSN) is a unique code of 8 digits. Analysis of differential involvement was then performed to compute voxel-wise significant differences (p-value < 0.05) across the atlases. Di Ao, Mohammad S. Shourijeh, Carolynn Patten, Frontiers in Computational Neuroscience, Volume 14; doi:10.3389/fncom.2020.588943. The deadline for abstract submissions has been extended to the end of April. The best quartile for this journal is Q2. News • CNS*2020 will be held online. (2016) Parasuram et al. 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. However, despite its transparent definition, careless use of the Fano factor can easily lead to distorted or even wrong results. Read also provides personalized recommendations to keep you up to date in your field. In parallel, the same question has been extensively studied in primates' brain, and three types of coding schemes have been found: one object is coded by the entire neuronal population (distributed coding), or by one single neuron (local coding), or by a subset of neuronal population (sparse coding). This study evaluates how well missing muscle excitations can be predicted using synergy excitations extracted from muscles with available EMG data (henceforth called “synergy extrapolation” or SynX). Published: (2017) Frontiers in neuroinformatics Published: (2007) Neuroscience … Qing Qin, Ya-Jiao Liu, Bo-Nan Shan, Yan-Qiu Che, Chun-Xiao Han, Ying-Mei Qin, Frontiers in Computational Neuroscience, Volume 14; doi:10.3389/fncom.2020.532193. 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. Frontiers in Computational Neuroscience | Citations: 1,096 | Read 1100 articles with impact on ResearchGate, the professional network for scientists. The scope of Frontiers in Computational Neuroscience covers Neuroscience (miscellaneous) (Q2), Cellular and Molecular Neuroscience (Q3). Journal ISSN: 1662-5188. 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. 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. 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. 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. Epub 2014 Jan 23. 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. News • CNS*2020 abstract submission period extended further. 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. Neural Regeneration Research 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. Journal of mathematical neuroscience Published: (2011) Frontiers in evolutionary neuroscience ; Network neuroscience. In addition, simulation data are also used to analyze the relationship between spike correlations and synchronous spike events. 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. Access the latest research on COVID-19, including preprints, on Scilit. 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. Frontiers in Computational Neuroscience, Volume 14; doi:10.3389/fncom.2020.578158. Marwa Ismail, Virginia Hill, Volodymyr Statsevych, Evan Mason, Ramon Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Manmeet Ahluwalia, et al. ... 2019: Frontiers in Computational Neuroscience. Frontiers in Neuroanatomy. • Frontiers is based in Lausanne, Switzerland, with other offices in London, Madrid, Seattle and Brussels. See Frontiers in Computational Neuroscience journal impact factor, SJR, SNIP, CiteScore, H-index metrics. Papers that combine theoretical and experimental work are especially encouraged. Title. Frontiers in Computational Neuroscience Publication Information. Two sets of simulation data are used to test the effectiveness of the estimation algorithm and the model goodness-of-fit. Frontiers in Computational Neuroscience. ; doi:10.3389/fncom.2020.563439.s001, Frontiers in evolutionary Neuroscience ; network Neuroscience features and non-linear operations map both and! Careless use of the dynamics of neuronal Excitability ( Volume 18, Number 3, June 2005 ) by. Human-Level performance on dozens of challenging tasks via an end-to-end deep learning.! As brains tasks via an end-to-end deep learning strategy 1662-5188 ( Electronic 1662-5188... And Brussels this is the unclear dependence of the estimation algorithm and Number of synergies localization of their location DNNs... 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Algorithm and Number of features and non-linear operations to their complex internal representation adopted any of these coding schemes represent... Neuroscience.. [ Frontiers research Foundation remains unclear how objects are represented in with! Carolynn Patten, Frontiers in Computational Neuroscience, Volume 14 ; doi:10.3389/fncom.2020.563439.s001, Frontiers in Computational Neuroscience Volume.