开课单位--柏林工业大学
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Towards Brain Computer Interfacing: Algorithms for on-line Differentiation of Neuroelectric Activities[脑机接口:神经电活动在线判别算法]
  Klaus Robert Müller(柏林工业大学) Brain Computer Interfacing (BCI) aims at making use of brain signals for e.g. the control of objects, spelling, gaming and so on. This talk will first...
热度:14

2
Gentle Introduction to Signal Processing and Classification for Single-Trial EEG Analysis[信号处理的温柔介绍和单次脑电图分析的分类fi阳离子]
  Benjamin Blankertz(柏林工业大学) The aim of this lecture is to provide an illustrative tutorial on the methods for single-trial EEG analysis. Basic concepts of feature extraction and ...
热度:72

3
On the relation between Bayesian inference and certain solvable problems of stochastic control[贝叶斯推理与随机控制某些可解问题的关系]
  Manfred Opper(柏林工业大学) Optimal control for nonlinear stochastic dynamical systems requires thesolution of a nonlinear PDE, the so - called Hamilton Jacobi Bellman equation.R...
热度:57

4
Tackling Increasing Opthalmologic Problems in Patients with a New Auditory Multi-Class BCI Paradigm[用一种新的听觉多类BCI范式来解决不断增加的眼科患者问题]
  Michael Tangermann(柏林工业大学) Most P300 BCI approaches use the visual modality for stimulation and feedback. Due to increasing sight deterioration, this might not be the preferable...
热度:40

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The Feature Importance Ranking Measure[特征重要性排名测量]
  Nicole Krämer(柏林工业大学) Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such de...
热度:104

6
On the Quantum Complexity of Classical Words[经典词的量子复杂性]
  Markus Müller(柏林工业大学) We show that classical and quantum Kolmogorov complexity of binary words agree up to an additive constant.Both complexities are defined as the minimal...
热度:49

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Groupwise sparsity enforcing estimators for solving the EEG/MEG inverse problem[GroupWise的稀疏强制执行估计为解决EEG/ MEG逆问题]
  Stefan Haufe(柏林工业大学) Cerebral current flows are directly related to information transfer in the brain and thus an excellent means for studying the mechanisms of cogni- tiv...
热度:43

8
Analyzing and Linking Big Data with Stratosphere[分析和连接大数据的平流层]
  Kostas Tzoumas(柏林工业大学) Linking and Analyzing Big Data Summary of the presentation: In this talk, I will provide an overview of two projects at TU Berlin, and the research an...
热度:48

9
Gentle Introduction to Signal Processing and Classification for Single-Trial EEG Analysis[简单介绍单次脑电图分析的信号处理和分类]
  Benjamin Blankertz(柏林工业大学) The aim of this lecture is to provide an illustrative tutorial on the methods for single-trial EEG analysis. Basic concepts of feature extraction and ...
热度:60

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