Several background tutorials are included to complement the instruction and activities presented in the units. Most of the tutorials include video instruction as well as supplemental material and exercises for further study. The tutorial topics are: Basic Neuroscience MATLAB Programming Machine Learning Neural Decoding Church Programming Amazon Mechanical Turk Materials for additional tutorials ca
Leyla is a postdoctoral researcher co-advised by Nancy Kanwisher and Gabriel Kreiman. She is interested in understanding how the brain extracts visual and social information (such as who you are looking at, what that person is doing, and who they are interacting with) from complex scenes. She studies this problem using a combination of human neuroimaging, intracranial recordings, and machine learn
MetaPhlAn is a computational tool for profiling the composition of microbial communities (Bacteria, Archaea and Eukaryotes) from metagenomic shotgun sequencing data (i.e. not 16S) with species-level. With StrainPhlAn, it is possible to perform accurate strain-level microbial profiling. MetaPhlAn 4 relies on ~5.1M unique clade-specific marker genes identified from ~1M microbial genomes (~236,600 re
藤井啓祐 理学研究科特定准教授、富田章久 北海道大学教授、福井浩介 同博士課程学生らの研究グループは、光を用いた量子コンピュータを、現在の技術レベルで実現させる方法を開発しました。 本研究成果は,2018年5月25日に、米国科学誌 「Physical Review X」に掲載されました。 量子コンピュータは、従来のコンピュータにおけるビットに対応する「量子ビット」をスタート地点としてその実装が検討されてきました。一方で、従来のコンピュータにおいては、電圧の値や電荷の量などアナログ値を離散化することでビットを実現しています。 本研究は、光を用いたアナログ量子状態を離散化したGKP量子ビットにおいて、その背景にあるアナログ量をうまく利用することで量子ビットに対するエラー耐性を大幅に向上させることができるという結果です。 量子ビットの背景にあるアナログな物理系の情報をうまく利用することで量子コン
TCP Tahoe, Reno, NewReno, SACK, and Vegas cwnd: congestion window swnd: usable sending window rwnd: advertised receiver’s window ssthresh: slow-start threshold RFC793 No cwnd On timeout: retransmit swnd = rwnd TCP Tahoe new ack: if (cwnd < sstresh) cwnd += 1 else cwnd += 1/cwnd timeout/3rd dup ack: retransmit all unacked ssthresh = cwnd/2 cwnd = 1 Improving TCP Tahoe: Packets still getting through
Assistant Professor of Applied Physics and, By Courtesy, of Neurobiology and of Electrical Engineering Directory Link Personal Website Research Group Link DescriptionBiophysicsOur lab works on theoretical neuroscience, with the fundamental goal of understanding how networks of neurons and synapses cooperate across multiple scales of space and time to mediate important brain functions, like sensory
Preferred Citation D. Chen, G. Baatz, K. Koeser, S. Tsai, R. Vedantham, T. Pylvanainen, K. Roimela, X. Chen, J. Bach, M. Pollefeys, B. Girod, and R. Grzeszczuk, "City-scale landmark identification on mobile devices", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2011. http://dx.doi.org/10.1109/CVPR.2011.5995610. Dataset available at: http://purl.stanford.edu
Abstract: We present a novel approach that enables photo-realistic re-animation of portrait videos using only an input video. In contrast to existing approaches that are restricted to manipulations of facial expressions only, we are the first to transfer the full 3D head position, head rotation, face expression, eye gaze, and eye blinking from a source actor to a portrait video of a target actor.
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