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JOCN
2011
94views more  JOCN 2011»
8 years 3 months ago
ERP Correlates of Word Production before and after Stroke in an Aphasic Patient
■ Changes in brain activity characterizing impaired speech production after brain damage have usually been investigated by comparing aphasic speakers with healthy subjects becau...
Marina Laganaro, Stéphanie Morand, Christop...
JCNS
2010
81views more  JCNS 2010»
8 years 7 months ago
Sensory information in local field potentials and spikes from visual and auditory cortices: time scales and frequency bands
Studies analyzing sensory cortical processing or trying to decode brain activity often rely on a combination of different electrophysiological signals, such as local field potentia...
Andrei Belitski, Stefano Panzeri, Cesare Magri, Ni...
ICRA
2010
IEEE
137views Robotics» more  ICRA 2010»
8 years 7 months ago
Robot reinforcement learning using EEG-based reward signals
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
Iñaki Iturrate, Luis Montesano, Javier Ming...
NIPS
2008
8 years 10 months ago
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG
The synchronous brain activity measured via MEG (or EEG) can be interpreted as arising from a collection (possibly large) of current dipoles or sources located throughout the cort...
David P. Wipf, Julia Owen, Hagai Attias, Kensuke S...
NIPS
2008
8 years 10 months ago
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images
We propose a novel hierarchical, nonlinear model that predicts brain activity in area V1 evoked by natural images. In the study reported here brain activity was measured by means ...
Pradeep Ravikumar, Vincent Q. Vu, Bin Yu, Thomas N...
ACMACE
2007
ACM
9 years 1 months ago
Playing with your brain: brain-computer interfaces and games
In this workshop we investigate a possible role of brain-computer interaction in computer games and entertainment computing. The assumption is that brain activity, whether it is c...
Anton Nijholt, Desney S. Tan
IJCNN
2008
IEEE
9 years 3 months ago
Kernel methods for fMRI pattern prediction
Abstract— In this paper, we present an effective computational approach for learning patterns of brain activity from the fMRI data. The procedure involved correcting motion artif...
Yizhao Ni, Carlton Chu, Craig J. Saunders, John As...
ALT
2008
Springer
9 years 6 months ago
Computational Models of Neural Representations in the Human Brain
Abstract For many centuries scientists have wondered how the human brain represents thoughts in terms of the underlying biology of neural activity. Philosophers, linguists, cogniti...
Tom M. Mitchell
ISBI
2004
IEEE
9 years 10 months ago
Detection of Functional Networks In The Resting Brain
Recently, increasing attention has focused on exploring brain activity during rest. A current challenge is to ascertain activity patterns without using an external reference. In t...
Yong He, Yufeng Zang, Tianzi Jiang, Yingli Lu, Xuc...
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