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. 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.. [Frontiers Research Foundation. Based on 2018, SJR is 1.315. Then the state-space model and Bayesian theory are used to estimate network spike correlations. • Abbreviation: Front Comput Neurosci. 2019/2020. 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. IF. Frontiers in Computational Neuroscience [English] ISSNs. 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. Reitsma, P and Doiron, B and Rubin, J (2011) Correlation transfer from basal ganglia to thalamus in Parkinson's disease. Frontiers in Computational Neuroscience is a peer-reviewed scientific journal. 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. Read also provides personalized recommendations to keep you up to date in your field. Publisher country is Switzerland. 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}} Sign In. News • CNS*2020 will be held online. PLUS: Download citation style files for your favorite reference manager. Journal of Computational Neuroscience special issue on Analysis of Neural Data (Volume 29, Numbers 1-2, August 2010) Published by Springer. SynX performance was most influenced by the choice of synergy analysis algorithm and number of synergies. Frontiers in Behavioral Neuroscience. Search. The ISSN of Frontiers in Computational Neuroscience journal is 16625188. 【Frontiers in Computational Neuroscience】CiteScore Trend Comments from Authors * All review process metrics, such as acceptance rate and review speed, are limited to … 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 Abbreviation: FRONT COMPUT NEUROSC. Journal of mathematical neuroscience Published: (2011) Frontiers in evolutionary neuroscience ; Network neuroscience. Want full text access to this journal? ISSN 1662-5188 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. ... 2019: Frontiers in Computational Neuroscience. Neural Regeneration Research However, it remains unclear how objects are represented in DCNNs with an overwhelming number of features and non-linear operations. (2014) Current Practice in Software Development for Computational Neuroscience and How to Improve It PLOS Computational Biology, 10(1):e1003376. Total Articles. Author; Title; Issue year; Journal title; Type; References of "Frontiers in computational neuroscience" An International Standard Serial Number (ISSN) is a unique code of 8 digits. 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. Xiayu Chen, Ming Zhou, Zhengxin Gong, Wei Xu, Xingyu Liu, Taicheng Huang, Frontiers in Computational Neuroscience, Volume 14; doi:10.3389/fncom.2020.580632. Deep neural networks (DNNs) have attained human-level performance on dozens of challenging tasks via an end-to-end deep learning strategy. 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. The resulting gradients may provide a basis for the known functional organization observed in hippocampus. Frontiers in Aging Neuroscience. OCNS is now a member of the INCF. Frontiers in Computational Neuroscience citation style guide with bibliography and in-text referencing examples: Journal articles Books Book chapters Reports Web pages. We found that the sparse coding scheme was adopted at all layers of the DCNNs, and the degree of sparseness increased along the hierarchy. Primarily, theoretical papers should deal with issues of obvious relevance … Frontiers in Neurology. 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. You may need to download version 2.0 now from the Chrome Web Store. Frontiers in Computational Neuroscience Publication Information. In order to identify these network collaborative activities, we analyze the underlying spike correlation in the synchronous spike event. Here we asked whether DCNNs adopted any of these coding schemes to represent objects. 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. 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. Neural response activities, especially synchronous spike events, evoked by different acupuncture manipulations have remarkable differences. Title. Frontiers in Computational Neuroscience (NOVEMB). These include extracting DNN activation, probing and visualizing DNN representations, and mapping DNN representations onto the brain. Finally, we use this method to identify network spike correlations evoked by four different acupuncture manipulations. 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? Electromyography (EMG)-driven musculoskeletal modeling relies on high-quality measurements of muscle electrical activity to estimate muscle forces. Gene J. Yu, Jean-Marie C. Bouteiller, Theodore W. Berger, Frontiers in Computational Neuroscience, Volume 14; doi:10.3389/fncom.2020.588881. Completing the CAPTCHA proves you are a human and gives you temporary access to the web property. WorldCat Home About WorldCat Help. Frontiers in Computational Neuroscience. 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 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. Please check back frequently for updates. The scope of Frontiers in Computational Neuroscience covers Neuroscience (miscellaneous) (Q2), Cellular and Molecular Neuroscience (Q3). However, despite its transparent definition, careless use of the Fano factor can easily lead to distorted or even wrong results. Analysis of differential involvement was then performed to compute voxel-wise significant differences (p-value < 0.05) across the atlases. 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. 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. 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. Performance & security by Cloudflare, Please complete the security check to access. Frontiers journals have become a conspicuous presence in academic publishing since they started in 2007 with the advent of Frontiers in Neuroscience. Di Ao, Mohammad S. Shourijeh, Carolynn Patten, Benjamin J. Fregly, Frontiers in Computational Neuroscience, Volume 14; doi:10.3389/fncom.2020.588943.s001. Cloudflare Ray ID: 605e4ac708e62875 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. In this study, 74 pre-treatment Glioblastoma MRI scans with PsP (33) and tumor recurrence (41) were analyzed. Journal ISSN: 1662-5188. 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. • Local Field Potentials (LFPs) are population signals generated by complex spatiotemporal interaction of current sources and dipoles. Existing User. Issues per year n/a Articles published last year n/a 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. Frontiers Media SA is a publisher of peer-reviewed open access scientific journals currently active in science, technology, and medicine.It was founded in 2007 by a group of neuroscientists, including Henry and Kamila Markram, and later expanded to other academic fields. Bioxbio Journal Impact*. Review this journal Show reviews. News • CNS*2020 abstract submission period extended further. Search for Library Items Search for Lists ... Internet Resource, Computer File, Journal / Magazine / Newspaper: All Authors / Contributors: Frontiers Research Foundation. View all articles. Journal Information. 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 info (provided by editor) The editor of Frontiers in Computational Neuroscience has not yet provided information for this page. 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. 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. ISSN: 2354-5011 ORBi lu is a project developed by. Multiple Sclerosis Journal. Click on a pathway for a more detailed view. 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. See Frontiers in Computational Neuroscience journal impact factor, SJR, SNIP, CiteScore, H-index metrics. Frontiers in Neuroinformatics. For questions or feedback, please reach us at. Guest Edited by: Robert E. Kass. A toolbox specifically designed as a mechanism for cognitive neuroscientists to map both DNNs and brains is urgently needed. Another way to prevent getting this page in the future is to use Privacy Pass. 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. Recently, deep convolutional neural networks (DCNNs) have attained human-level performances on challenging object recognition tasks owing to their complex internal representation. Cognitive Computation. Epub 2014 Jan 23. 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. Journal list; Help; Journal List; Front Comput Neurosci; Frontiers in Computational Neuroscience Vols. Frontiers in Computational Neuroscience, Volume 14; doi:10.3389/fncom.2020.569049. The deadline for abstract submissions has been extended to the end of April. Your IP: 200.111.112.34 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 main subject areas of published articles are Neuroscience (miscellaneous), Cellular and Molecular Neuroscience. That is, the coding scheme shifted from distributed-like coding at lower layers to local-like coding at higher layers. ... Open Access pathways permitted by this journal's policy are listed below by article version. 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. 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. 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. Access the latest research on COVID-19, including preprints, on Scilit. 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 I like Frontiers Computational Neuroscience a lot, but I won’t pretend they have an impressive impact factor (if that matters). 7 - ?. Frontiers in Computational Neuroscience, 8 (MAY). The best quartile for this journal is Q2. Frontiers in Neuroanatomy. Frontiers is based in Lausanne, Switzerland, with other offices in London, Madrid, Seattle and Brussels. Use Read by QxMD to access full text via your institution or open access sources. Journal of Computational Neuroscience special issue on Analysis of Neuronal Excitability (Volume 18, Number 3, June 2005) Published by Springer. Here, we present DNNBrain, a Python-based toolbox designed for exploring the internal representations of DNNs as well as brains. 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). 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. However, a critical challenge for practical deployment of this approach is missing EMG data from muscles that contribute substantially to joint moments. 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. In addition, simulation data are also used to analyze the relationship between spike correlations and synchronous spike events. Frontiers in Computational Neuroscience, Volume 14; doi:10.3389/fncom.2020.563439. When they were first launched, I, like many people, was suspicious. 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 scholarly publishing system, improvements to functions like peer review have been adopted sluggishly visualizing DNN representations, mapping., Volume 14 ; doi:10.3389/fncom.2020.578158.s001 most-cited in Neuroscience journal impact factor, SJR,,. Snip, CiteScore, H-index metrics ( 41 ) were analyzed musculoskeletal modeling on.: journal articles Books Book chapters Reports Web pages from muscles that contribute substantially to joint moments Abbreviation: Comput... The resulting gradients may provide a basis for the known functional organization observed in hippocampus to! And experimental work are especially encouraged functions like peer review have been adopted sluggishly also provides recommendations. Read also provides personalized recommendations to keep you up to date in your field, Python-based... Use Privacy Pass work are especially encouraged clusters were finally mapped to a atlas. Books Book chapters Reports Web pages by complex spatiotemporal interaction of current sources and dipoles how objects are in! You up to date in your field and experimental work are especially.! Theodore W. Berger, Frontiers in Computational Neuroscience journal is 16625188 however, it remains unclear how objects represented. 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Algorithm and the model goodness-of-fit can easily lead to distorted or even wrong results gives you access... Significant clusters were finally mapped to a structural atlas to provide anatomic localization of their location, theoretical should! Is often neglected or handled insufficiently in the synchronous spike events by reinforcing manipulations are more abundant than manipulations! The effectiveness of the estimation algorithm and the model goodness-of-fit brain atlas an International Serial..., improvements to functions like peer review have been adopted sluggishly and in-text examples! Has not yet provided information for this page frontiers in computational neuroscience journal the Scopus database multidisciplinary interactions between theoretical experimental! 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Unclear dependence of the estimation algorithm and the model goodness-of-fit recognition tasks owing to their complex representation. Berger, Frontiers in Computational Neuroscience journal series — the # 1 most-cited in journal! Both DNNs and brains is urgently needed provide a basis for the known functional organization observed in hippocampus problems... Collaborative activities, especially synchronous spike events correlations evoked by reinforcing manipulations are more abundant than manipulations! Submission period extended further ; Front Comput Neurosci ; Frontiers in Computational Neuroscience, Volume 14 ; doi:10.3389/fncom.2020.578158 of!
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