ARTICLE Communicated by Ruoyu Sun Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses Charles G. Frye cfrye59@gmail.com Redwood Center for Theoretical Neuroscience and Helen Wills Neuroscience Institute, 加州大学, 伯克利, CA 94720, 美国. James Simon james.simon@berkeley.edu Redwood Center for Theoretical Neuroscience and Department of Physics, 加州大学, 伯克利, CA 94720, 美国. Neha S. Wadia neha.wadia@berkeley.edu Andrew Ligeralde ligeralde@berkeley.edu Redwood Center for

ARTICLE Communicated by Shun-ichi Amari On the Achievability of Blind Source Separation for High-Dimensional Nonlinear Source Mixtures Takuya Isomura takuya.isomura@riken.jp Laboratory for Neural Computation and Adaptation and Brain Intelligence Theory Unit, 日本理化学研究所脑科学中心, 你的, 埼玉 351-0198, Japan Taro Toyoizumi taro.toyoizumi@riken.jp Laboratory for Neural Computation and Adaptation, 日本理化学研究所脑科学中心, 你的, 埼玉 351-0198, 日本, and Department of Mathematical Informatics, Graduate School

ARTICLE Communicated by Stefano Panzeri The Refractory Period Matters: Unifying Mechanisms of Macroscopic Brain Waves Corey Weistuch corey.weistuch@stonybrook.edu Laufer Center for Physical and Quantitative Biology and Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, 纽约 11794, 美国. Lilianne R. Mujica-Parodi lilianne.strey@stonybrook.edu Laufer Center for Physical and Quantitative Biology, Departments of Biomedical Engineering and of Physics and Astronomy, Program in Neuroscience, and Department

LETTER Communicated by Raoul-Martin Memmesheimer The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks Friedemann Zenke friedemann.zenke@fmi.ch Centre for Neural Circuits and Behaviour, 牛津大学, Oxford OX1 3SR, 英国。, and Friedrich Miescher Institute for Biomedical Research, 4058 巴塞尔, Switzerland Tim P. Vogels tim.vogels@ist.ac.at Centre for Neural Circuits and Behaviour, 牛津大学, Oxford OX1 3SR, 英国。, and Institute

LETTER Communicated by Terrence Sejnowski Whence the Expected Free Energy? Beren Millidge beren@millidge.name School of Informatics, 爱丁堡大学, 爱丁堡, EH8 9AB, U.K. Alexander Tschantz tschantz.alec@gmail.com Sackler Center for Consciousness Science, School of Engineering and Informatics, University of Sussex, Falmer, Brighton, BN1 9RH, U.K. Christopher L. Buckley C.L.Buckley@sussex.ac.uk Evolutionary and Adaptive Systems Research Group, School of Engineering and Informatics, University of Sussex, Falmer, Brighton, BN1

ARTICLE Communicated by Alain Destexhe From Biophysical to Integrate-and-Fire Modeling Tomas Van Pottelbergh tmjv2@cam.ac.uk Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, U.K. Guillaume Drion gdrion@ulg.ac.be Department of Electrical Engineering and Computer Science, University of Liège, 4000 Liège, Belgium Rodolphe Sepulchre r.sepulchre@eng.cam.ac.uk Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, U.K. This article proposes a methodology to extract a low-dimensional integrate-and-fire model from

ARTICLE Communicated by Dirk Ostwald Learning in Volatile Environments With the Bayes Factor Surprise Vasiliki Liakoni* vasiliki.liakoni@epfl.ch Alireza Modirshanechi* alireza.modirshanechi@epfl.ch Wulfram Gerstner wulfram.gerstner@epfl.ch Johanni Brea johanni.brea@epfl.ch École Polytechnique Fédérale de Lausanne, School of Computer and Communication Sciences and School of Life Sciences, 1015 洛桑, Switzerland Surprise-based learning allows agents to rapidly adapt to nonstationary stochastic environments characterized by sudden changes. We show that exact Bayesian

LETTER Communicated by Ian Robertson Deeply Felt Affect: The Emergence of Valence in Deep Active Inference Casper Hesp* c.hesp@uva.nl Department of Psychology and Amsterdam Brain and Cognition Centre, University of Amsterdam, 1098 XH Amsterdam, 荷兰; Institute for Advanced Study, University of Amsterdam, 1012 GC Amsterdam, 荷兰; and Wellcome Centre for Human Neuroimaging, 伦敦大学学院, London WC1N 3BG, U.K. Ryan Smith* RSmith@laureateinstitute.org Laureate Institute for

ARTICLE Communicated by Terrence Sejnowski A Cerebellar Computational Mechanism for Delay Conditioning at Precise Time Intervals Terence D. Sanger terry@sangerlab.net Departments of Biomedical Engineering, Neurology, and Biokinesiology, University of Southern California, 天使们, CA 90089, 美国. Mitsuo Kawato kawato@atr.jp Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International, Kyoto 619-0288, 日本, and Center for Advanced Intelligence Project, RIKEN, Chuo-ku, 东京, 103-0027, Japan The

Justin Dauwels 传达的信件 对神经网络进行逆向工程以表征其成本函数 Takuy​​a Isomura takuya.isomura@riken.jp 大脑智能理论单元, 日本理化学研究所脑科学中心, 你的, 埼玉 351-0198, Japan Karl Friston k.friston@ucl.ac.uk Wellcome Centre for Human Neuroimaging, Institute of Neurology, 伦敦大学学院, 伦敦, WC1N 3AR, U.K. This letter considers a class of biologically plausible cost functions for neural networks, where the same cost function

文章由 Igor Goychuk 传达 随机 Hodgkin-Huxley 动力学的快速、准确的 Langevin 模拟 Shusen Pu sxp600@case.edu 数学系, 应用数学, 和统计, 凯斯西储大学, 克利夫兰, 哦 44106, 美国. 彼得·J. Thomas pjthomas@case.edu Department of Mathematics, 应用数学, 和统计; 生物学; 认知科学; and Electrical, Computer, and Systems Engineering: 凯斯西储大学, 克利夫兰, 哦 44106, 美国. Fox and Lu introduced a

文章由 Diego Pazò 传播 具有短期适应的尖峰神经网络中爆发动力学的平均场描述 Richard Gast rgast@cbs.mpg.de Helmut Schmidt hschmidt@cbs.mpg.de 马克斯·普朗克人类认知和脑科学研究所, 04103 莱比锡, Germany Thomas R. Knösche knoesche@cbs.mpg.de Max Planck Institute for Human Cognitive and Brain Sciences, 04103 莱比锡, 德国, and Institute for Biomedical Engineering and Informatics, TU 98693 Ilmenau, Germany Bursting plays

文章由 Tilo Schwalger 传达 从种群尖峰列车推断介观种群模型 Alexandre René arene010@uottawa.ca 物理系, 渥太华大学, 渥太华 K1N 6N5, 加拿大; 马克斯·普朗克研究小组神经系统分析, Center of Advanced European Studies and Research (caesar), Bonn 53175, 德国; and Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA-Institute Brain Structure-Function Relationships (INM-10),

Ruben Moreno-Bote 发表的文章 异质突触权重可改善存在常见噪声时的神经编码 Pratik S. Sachdeva pratik.sachdeva@berkeley.edu 红木理论神经科学中心和物理系, 加州大学, 伯克利, 伯克利, CA 94720 美国。, and Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, 伯克利, CA 94720, 美国. Jesse A. Livezey jlivezey@lbl.gov Redwood Center for Theoretical Neuroscience, 加州大学, 伯克利,

文章由 Luca Mazzucato 传达连续吸引子的非平衡统计力学 Weishunzhong wszhong@mit.edu James Franck Institute, 芝加哥大学, 芝加哥, 伊尔 60637, 和物理系, 和, 剑桥, 嘛 02139, 美国. Zhiyue Lu zhiyuelu@unc.edu James Franck Institute, 芝加哥大学, 芝加哥, 伊尔 60637, 美国. David J. Schwab dschwab@gc.cuny.edu Initiative for the Theoretical Sciences, CUNY Graduate Center, 纽约, 纽约 10016, and Center for the

文章由 Shun-ichi Amari 中心传播 三层感知器退化引起的高原现象的流形分析 Daiji Tsutsui d-tsutsui@cr.math.sci.osaka-u.ac.jp 大阪大学, 丰中市, 大阪 560-0043, Japan A hierarchical neural network usually has many singular regions in the parameter space due to the degeneration of hidden units. 这里, 我们佛- cus on a three-layer perceptron, which has one-dimensional singular regions comprising both attractive and repulsive parts.

文章由 Terrence Sejnowski 传达 ADOS 研究的隐藏方面必然会影响自闭症科学 Elizabeth B. 托雷斯 ebtorres@psych.rutgers.edu 心理学系; 计算机科学, 生物医学成像与建模中心; and Rutgers University Center for Cognitive Science, Rutgers University, 皮斯卡塔韦, 新泽西州 08854, 美国. Richa Rai richarai9@gmail.com Psychology Department, Rutgers University, 皮斯卡塔韦, 新泽西州 08854, 美国. Sejal Mistry sejal.mistry@hsc.utah.edu Mathematics Department, Rutgers University, 皮斯卡塔韦, 新泽西州 08854,

Frederic Crevecoeur 来信 生物运动控制的无模型鲁棒最优反馈机制 边涛 tbian@nyu.edu 控制与网络实验室, 电气与计算机工程系, 坦登工程学院, 纽约大学, 布鲁克林, 纽约 11201, 美国. Daniel M. Wolpert wolpert@columbia.edu Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, 哥伦比亚大学, 纽约, 纽约 10027, 美国。, and Department of Engineering, University of Cambridge, 剑桥