Tags » Brain Computer Interface

Neural network classification of late gamma band EEG features

It has been a while since my last post. I guess job hunting has an higher priority, at the moment but, today, I was able to go through another paper. 207 more words

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World of Thoughts and Telepathy through the eyes of Science

As humans, we can identify galaxies light years away, we can study particles smaller than an atom. But we still haven’t unlocked the mystery of the three pounds of matter that sits between our ears.

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Machine-Learning as a Method of Programming Autonomous Weapon Systems

So,

This week, it was announced that Google DeepMind had beaten a human playing the board game ‘Go’. Deepmind is a machine-learning algorithm, and I’ve been thinking about whether machine-learning would be a better method of programming Autonomous Weapon Systems (AWS). 902 more words

Dry Electrodes for long EEG recordings

The last two papers I read were “An active, microfabricated, scalp electrode array for EEG recording” and “A dry electrode for EEG recording” by Babak A. 202 more words

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Real-time detection of brain events in EEG

After reading Mr. Jacques J. Vidal paper, entitled “Toward direct brain-computer communication”, I went through his “Real-time detection of brain events in EEG”.

I was presented with the continuation of his work and the description of his signal detection strategy for detecting and classifying evoked EEG responses. 210 more words

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DARPA program aims to develop an implantable neural interface capable of connecting with one million neurons

A new DARPA program aims to develop an implantable neural interface able to provide unprecedented signal resolution and data-transfer bandwidth between the human brain and the digital world. 537 more words

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Toward Direct Brain-Computer Communication

Today I read:

Vidal, Jacques J. 1973. “Toward Direct Brain-Computer Communication.” Brain Research Institute, University of California, Los Angeles, California 157-180.

A Brain-Computer Interface project, based on neurophysiological considerations about the origins of EEG signals and interpretation of its data, tried a new approach to acquire, preprocess and analyse brain-computer communication data. 

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