RT-NET: real-time reconstruction of neural activity using high-density electroencephalography

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Space-Time Sparse Reconstruction for Magneto-/Electroencephalography

This article presents a new spatio-temporal method for M/EEG source reconstruction based on the assumption that only a small number of events, localized in space and/or time, are responsible for the measured signal. Each space-time event is represented using a basis function expansion which reflects the most relevant (or measurable) features of the signal. The basis function expansion effective...

متن کامل

Real-Time High Density People Counter Using Morphological Tools

This paper deals with an application of image sequence analysis. In particular, it addresses the problem of determining the number of people who get into and out of a train carriage when it’s crowded and background and/or illumination might change. The proposed system analyses image sequences and processes them using an algorithm based on the use of several morphological tools and optical flow mo-

متن کامل

Electroencephalography and High-Density Electrophysiological Source Localization

In 1924, Hans Berger, a German psychiatrist, performed the first electroencephalographic (EEG) recording in humans (Berger, 1929), a discovery that was initially greeted with great skepticism by the scientific community. By recording from one electrode placed over the forehead and one over the occipital cortex, Berger discovered the existence of rhythmic activity oscillating at approximately 10...

متن کامل

RT-UNNID: A practical solution to real-time network-based intrusion detection using unsupervised neural networks

With the growing rate of network attacks, intelligent methods for detecting new attacks have attracted increasing interest. The RT-UNNID system, introduced in this paper, is one such system, capable of intelligent real-time intrusion detection using unsupervised neural networks. Unsupervised neural nets can improve their analysis of new data over time without retraining. In previous work, we ev...

متن کامل

Validating Microarray Data Using RT Real-Time PCR

This paper describes the use of real-time PCR for the confirmation of microarray data. Current publication guidelines require that all microarray results are confirmed by an independent gene expression profiling method. Real-time PCR is the method of choice for most researchers but it is not without drawbacks. The first step in confirming array results by real-time PCR is selection of gene-spec...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Neuroinformatics

سال: 2020

ISSN: 1539-2791,1559-0089

DOI: 10.1007/s12021-020-09479-3