由 Terrence Sejnowski 传达的文章 通过各种复杂性的 Tensorfaces 进行人脸表示 Sidney R. Lehky sidney.lehky@riken.jp 认知脑图谱实验室, 日本理化学研究所脑科学中心, 唱吧, 埼玉 351-0198, 日本, 和计算神经生物学实验室, 索尔克研究所, 拉霍亚, CA 92037, 美国. Anh Huy Phan a.phan@skoltech.ru Center for Computational and Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, 143026 莫斯科, 俄罗斯; and Institute of Global

LETTER Communicated by Nakul Verma Safe Triplet Screening for Distance Metric Learning Tomoki Yoshida yoshida.t.mllab.nit@gmail.com Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, Aichi, 466-8555, Japan Ichiro Takeuchi takeuchi.ichiro@nitech.ac.jp Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, Aichi, 466-8555, 日本; National Institute for Materials Science, Sengen, Tsukuba, Ibaraki, 305-0047, 日本; and RIKEN Center for Advanced Intelligence Project, Nihonbashi, Chuo-ku, 东京, 103-0012, Japan Masayuki Karasuyama karasuyama@nitech.ac.jp Nagoya Institute

ARTICLE Communicated by Simon Shaolei Du Every Local Minimum Value Is the Global Minimum Value of Induced Model in Nonconvex Machine Learning Kenji Kawaguchi kawaguch@mit.edu MIT, 剑桥, 嘛 02139, 美国. Jiaoyang Huang jiaoyang@math.harvard.edu Harvard University, 剑桥, 嘛 02138, 美国. Leslie Pack Kaelbling lpk@csail.mit.edu MIT, 剑桥, 嘛 02139, 美国. For nonconvex optimization in machine learning, this article proves that every local minimum achieves the globally optimal

ARTICLE Communicated by Christopher Buckley A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition Ahmadreza Ahmadi ar.ahmadi62@gmail.com Okinawa Institute of Science and Technology, Okinawa, 日本 904-0495, and School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Republic of Korea Jun Tani* tani1216jp@gmail.com Okinawa Institute of Science and Technology, Okinawa, 日本 904-0495 This study introduces PV-RNN, a novel variational RNN

LETTER Communicated by Karl Friston A Minimum Free Energy Model of Motor Learning B. A. Mitchell brian_a_mitchell@engineering.ucsb.edu Department of Computer Science, 加州大学, 圣巴巴拉, 圣巴巴拉, CA 931056, 美国. 氮. Lauharatanahirun nina.lauharatanahirun.civ@mail.mil Human Research and Engineering Directorate, The CCDC Army Research Laboratory, Aberdeen Proving Ground, 医学博士 21005, 美国。, and Annenberg School for Communication, 宾夕法尼亚大学, 费城, PA 19104, 美国. J. 氧. 加西亚

LETTER Communicated by Razvan Pascanu Effect of Depth and Width on Local Minima in Deep Learning Kenji Kawaguchi kawaguch@mit.edu MIT, 剑桥, 嘛 02139, 美国. Jiaoyang Huang jiaoyang@math.harvard.edu Harvard University, 剑桥, 嘛 02138, 美国. Leslie Pack Kaelbling lpk@csail.mit.edu MIT, 剑桥, 嘛 02139, 美国. 在本文中, we analyze the effects of depth and width on the quality of local minima, without strong overparameterization and simplification assumptions

LETTER Communicated by Hugo G. Schnack Brain Morphometry Methods for Feature Extraction in Random Subspace Ensemble Neural Network Classification of First-Episode Schizophrenia Roman Vyškovský vyskovsky@iba.muni.cz Daniel Schwarz schwarz@iba.muni.cz Masaryk University, Faculty of Medicine, Institute of Biostatistics and Analyses, 625 00, Brno, Czech Republic Tomáš Kašpárek tkasparek@fnbrno.cz Masaryk University and University Hospital Brno, Department of Psychiatry, 625 00, Brno, Czech Republic Machine learning (机器学习) 是一个

LETTER Communicated by Karl Friston Systems of Bounded Rational Agents with Information-Theoretic Constraints Sebastian Gottwald sebastian.gottwald@uni-ulm.de Daniel A. Braun daniel.braun@uni-ulm.de Institute of Neural Information Processing, 工程学院, Computer Science and Psychology, University of Ulm, Ulm, Baden-Württemberg, 89081 Germany Specialization and hierarchical organization are important features of efficient collaboration in economical, artificial, and biological systems. 这里, we investigate the hypothesis that both features can be

ARTICLE Communicated by Anne Steinemann Diplomats’ Mystery Illness and Pulsed Radiofrequency/Microwave Radiation Beatrice Alexandra Golomb bgolomb@ucsd.edu UC San Diego School of Medicine, 拉霍亚, CA 92093, 美国. Importance: A mystery illness striking U.S. and Canadian diplomats to Cuba (and now China) “has confounded the FBI, the State Department and US intelligence agencies” (Lederman, Weissenstein, & 李, 2017). Sonic explanations for the so-called health attacks have

LETTER Communicated by Mark Van Rossum CosMIC: A Consistent Metric for Spike Inference from Calcium Imaging Stephanie Reynolds stephanie.reynolds09@imperial.ac.uk Department of Electrical and Electronic Engineering and Centre for Neurotechnology, Imperial College London, London SW7 2AZ, U.K. Therese Abrahamsson therese.abrahamsson@gmail.com Per Jesper Sjöström jesper.sjostrom@mcgill.ca Centre for Research in Neuroscience, Brain Repair and Integrative Neuroscience Program, Department of Neurology and Neurosurgery, Research Institute of the McGill University

ARTICLE Communicated by Jeremy Manning The Discrete and Continuous Brain: From Decisions to Movement—And Back Again Thomas Parr thomas.parr.12@ucl.ac.uk Karl J. Friston k.friston@ucl.ac.uk Wellcome Trust Centre for Neuroimaging, Institute of Neurology, 伦敦大学学院, WC1N 3BG, U.K. To act upon the world, creatures must change continuous variables such as muscle length or chemical concentration. 相比之下, decision making is an inherently discrete process, involving the

LETTER Communicated by Alexander Schwing Deep Restricted Kernel Machines Using Conjugate Feature Duality Johan A. K. Suykens johan.suykens@esat.kuleuven.be KU Leuven ESAT-STADIUS, B-3001 Leuven, Belgium The aim of this letter is to propose a theory of deep restricted kernel machines offering new foundations for deep learning with kernel ma- 中国人. From the viewpoint of deep learning, it is partially related to restricted Boltzmann machines, 哪个是

LETTER Communicated by Yoshua Bengio An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity James C. 右. Whittington james.whittington@ndcn.ox.ac.uk MRC Brain Network Dynamics Unit, 牛津大学, 牛津, OX1 3TH, 英国。, and FMRIB Centre, Nuffield Department of Clinical Neurosciences, 牛津大学, 约翰拉德克利夫医院, 牛津, OX3 9DU, U.K. Rafal Bogacz rafal.bogacz@ndcn.ox.ac.uk MRC Brain Network Dynamics Unit,

LETTER Communicated by Mika Rubinov Comparison of Different Generalizations of Clustering Coefficient and Local Efficiency for Weighted Undirected Graphs Yu Wang Eshwar Ghumare eshwargorakhnath.ghumare@kuleuven.be Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven 3000, Belgium Rik Vandenberghe rik.vandenberghe@uzleuven.be Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven 3000, 比利时, and Alzheimer Research Centre, KU Leuven, Leuven Institute for Neuroscience and Disease, KU Leuven,

LETTER Communicated by Jurgen Schmidhuber Continuous Online Sequence Learning with an Unsupervised Neural Network Model Yuwei Cui ycui@numenta.com Subutai Ahmad sahmad@numenta.com Jeff Hawkins jhawkins@numenta.com Numenta, Inc. Redwood City, CA 94063, 美国. The ability to recognize and predict temporal sequences of sensory in- puts is vital for survival in natural environments. Based on many known properties of cortical neurons, hierarchical temporal memory (HTM) 和- quence memory

LETTER Communicated by Peter K ¨onig Integrator or Coincidence Detector: A Novel Measure Based on the Discrete Reverse Correlation to Determine a Neuron’s Operational Mode Jacob Kanev jkanev@zoho.com Institute of Software Engineering and Theoretical Computer Science, Technische Universit¨at Berlin, 柏林 10587, Germany Achilleas Koutsou achilleas.k@cs.ucy.ac.cy Chris Christodoulou cchrist@cs.ucy.a.cy Department of Computer Science, University of Cyprus, 1678 尼科西亚, Cyprus Klaus Obermayer klaus.obermayer@mailbox.tu-berlin.de Institute of Software Engineering

LETTER Communicated by Eric Halgren Effect of Reference Scheme on Power and Phase of the Local Field Potential Vinay Shirhatti vinay@cns.iisc.ernet.in Ayon Borthakur borthakur.ayon@gmail.com Supratim Ray sray@cns.iisc.ernet.in Centre for Neuroscience, Indian Institute of Science, Bangalore, 印度, 560012 Brain signals are often analyzed in the spectral domain, where the power spectral density (PSD) and phase differences and consistency can reveal important information about the network. 然而,

LETTER Communicated by S. Sathiya Keerthi Accuracy and Efficiency in Fixed-Point Neural ODE Solvers Michael Hopkins michael.hopkins@manchester.ac.uk Steve Furber steve.furber@manchester.ac.uk School of Computer Science, APT Group, 曼彻斯特大学, Manchester M13 9PL, U.K. Simulation of neural behavior on digital architectures often requires the solution of ordinary differential equations (ODEs) at each step of the simulation. For some neural models, this is a significant computational burden,