An Information-Maximization Approach to Blind Separation and Blind Deconvolution

Bell, Anthony J.; Sejnowski, Terrence J.

doi:10.1162/neco.1995.7.6.1129

Cited by 7,987 publications

(5,300 citation statements)

References 23 publications

Supporting

Mentioning

5,225

Contrasting

Unclassified

Order By: Relevance

“…To improve the estimates of N170 amplitude and latency given the relatively small number of ERP segments in each condition (leading to a low signal-to-noise ratio), N170 extraction was aided by linear decomposition of the EEG by means of Independent Component Analysis (ICA, Bell & Sejnowski, 1995 ICA is predicated on the assumption that the EEG at each electrode represents a mixture of temporally independent signals (components). It thus attempts to determine the 'unmixing' square matrix whose multiplication with the data results in the 'original' independent components.…”

Section: Eeg Analysismentioning

confidence: 99%

Perceptual learning and inversion effects: Recognition of prototype-defined familiar checkerboards.

Civile¹,

Zhao²,

Ku³

et al. 2014

Journal of Experimental Psychology: Animal Learning and Cogniti

View full text Add to dashboard Cite

The face inversion effect is a defection in performance in recognizing inverted faces compared with faces presented in their usual upright orientation typically believed to be specific for facial stimuli. McLaren (1997) was able to demonstrate that (a) an inversion effect could be obtained with exemplars drawn from a familiar category, such that upright exemplars were better discriminated than inverted exemplars; and (b) that the inversion effect required that the familiar category be prototype-defined. In this article, we replicate and extend these findings. We show that the inversion effect can be obtained in a standard old/new recognition memory paradigm, demonstrate that it is contingent on familiarization with a prototype-defined category, and establish that the effect is made up of two components. We confirm the advantage for upright exemplars drawn from a familiar, prototype-defined category, and show that there is a disadvantage for inverted exemplars drawn from this category relative to suitable controls. We also provide evidence that there is an N170 event-related potential signature for this effect. These results allow us to integrate a theory of perceptual learning originally proposed by McLaren, Kaye, and Mackintosh (1989) with explanations of the face inversion effect, first reported by Yin.

show abstract

Section: Eeg Analysismentioning

confidence: 99%

Perceptual learning and inversion effects: Recognition of prototype-defined familiar checkerboards.

Civile¹,

Zhao²,

Ku³

et al. 2014

Journal of Experimental Psychology: Animal Learning and Cogniti

View full text Add to dashboard Cite

show abstract

“…Since we were specifically interested in frontal theta activity, and the recorded EEG is a mixture of artifacts and different theta sources, we applied infomax independent component analysis (ICA) (Bell and Sejnowski, 1995) on the entire 10 min of resting state data to obtain a 'clean' frontal theta estimate.…”

Section: Regressor Constructionmentioning

confidence: 99%

Frontal theta EEG activity correlates negatively with the default mode network in resting state

Scheeringa¹,

Bastiaansen²,

Petersson³

et al. 2008

International Journal of Psychophysiology

367

295

View full text Add to dashboard Cite

We used simultaneously recorded EEG and fMRI to investigate in which areas the BOLD signal correlates with frontal theta power changes, while subjects were quietly lying resting in the scanner with their eyes open. To obtain a reliable estimate of frontal theta power we applied ICA on band-pass filtered (2-9 Hz) EEG data. For each subject we selected the component that best matched the mid-frontal scalp topography associated with the frontal theta rhythm. We applied a time-frequency analysis on this component and used the time course of the frequency bin with the highest overall power to form a regressor that modeled spontaneous fluctuations in frontal theta power. No significant positive BOLD correlations with this regressor were observed. Extensive negative correlations were observed in the areas that together form the default mode network. We conclude that frontal theta activity can be seen as an EEG index of default mode network activity.

show abstract

“…For group ICA, data from each subject are reduced from 600 to 30 time points using principal component analysis (PCA) (representing greater than 99% of the variance in the data). Data from all subjects are then concatenated, and this 30 Â (number of data sets) aggregate data set reduced to 25 dimensions using PCA, followed by independent component estimation using a neural network algorithm that attempts to minimize the mutual information of the network outputs (Bell and Sejnowski, 1995). Time courses and spatial maps are then reconstructed for each subject.…”

Section: Independent Component Analysismentioning

confidence: 99%

Alcohol Intoxication Effects on Simulated Driving: Exploring Alcohol-Dose Effects on Brain Activation Using Functional MRI

Calhoun

Pekar

Pearlson

2004

Neuropsychopharmacol

173

143

View full text Add to dashboard Cite

Driving while intoxicated is a major public health problem. We investigated impaired driving using a simulated driving skill game that presents an 'in-car' view of a road and a readout of speed. We explored brain activation and behavioral alterations from baseline at two blood alcohol concentrations (BACs). Participants received single-blind individualized doses of beverage alcohol designed to produce blood alcohol content (BAC) of 0.04 and 0.08 or placebo. Scanning occurred on a 1.5 Tesla Philips MRI scanner after training to asymptote performance. Analysis was performed using independent component analysis (ICA) to isolate systematically nonoverlapping 'networks' and their time courses. Imaging results revealed seven separate driving-related brain networks with different time courses. Several significant findings were observed for the imaging data. First, dose-dependent functional magnetic resonance imaging (fMRI) changes were revealed in orbitofrontal (OF) and motor (but not cerebellar) regions; visual and medial frontal regions were unaffected. Second, cerebellar regions were significantly associated with driving behavior in a dose-dependent manner. Finally, a global disruptive effect of alcohol on the ICA time courses was observed with highly significant differences in OF and motor regions. Alcohol thus demonstrated some behavioral effects and unique, disruptive, dose-dependent effects on fMRI signal within several brain circuits. The fMRI data also suggest that the deficits observed in alcohol intoxication may be modulated primarily through OF/anterior cingulate, motor and cerebellar regions as opposed to attentional areas in frontoparietal cortex.

show abstract

An Information-Maximization Approach to Blind Separation and Blind Deconvolution

Cited by 7,987 publications

References 23 publications

Perceptual learning and inversion effects: Recognition of prototype-defined familiar checkerboards.

Perceptual learning and inversion effects: Recognition of prototype-defined familiar checkerboards.

Frontal theta EEG activity correlates negatively with the default mode network in resting state

Alcohol Intoxication Effects on Simulated Driving: Exploring Alcohol-Dose Effects on Brain Activation Using Functional MRI

Contact Info

Product

Resources

About