计算机科学
Paper Review Records
全部论文审稿周期
5 篇有效样本 · 按发表日期由新到旧排列
审稿天数=录用日期-收稿日期;保留 PDF/DOI/网页源链接
Neuronal Spike Trains as Functional-Analytic Distributions: Representation, Analysis, and Significance
作者Gabriel A. Silva
作者单位1. Department of Bioengineering and Department of Neurosciences, University of California San Diego, La Jolla CA 92121-2460, U.S.A. [email protected]
Associative Memory and Generative Diffusion in the Zero-Noise Limit
作者Joshua Hess; Quaid Morris
作者单位1. Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, U.S.A.; 2. Tri-Institutional Training Program in Computational Biology & Medicine, New York, NY 10065, U.S.A. [email protected]; 3. Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, U.S.A. [email protected]
Quantifying Information Stored in Synaptic Connections Rather Than in Firing Activities of Neural Networks
作者Xinhao Fan; Shreesh P. Mysore
作者单位1. Solomon H. Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21218, U.S.A. [email protected]; 2. Department of Psychological and Brain Sciences, Johns Hopkins University; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University; and Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21218, U.S.A. [email protected]
Hierarchical Active Inference Using Successor Representations
作者Prashant Rangarajan; Rajesh P. N. Rao
作者单位1. Paul G. Allen Center for Computer Science and Engineering, University of Washington, Seattle 98195, USA [email protected]; 2. Paul G. Allen Center for Computer Science and Engineering, University of Washington, Seattle 98195, USA [email protected]
Unsupervised Feature Selection Using Bayesian Tucker Decomposition
作者Y-h. Taguchi; Yoh-ichi Mototake
作者单位1. Department of Physics, Chuo University, Tokyo 112-8551, Japan [email protected]; 2. Graduate School of Social Data Science, Hitotsubashi University, Tokyo 186-8601, Japan [email protected]
Expert Matching · Case Demo
把投稿要求,转成可验证的期刊方案
说清专业、时限和作者背景,CrushSCI 结合真实审稿样本,给出拟题方向、期刊初筛与周期判断。