Bayesian model selection for group studies
Bayesian model selection (BMS) is a powerful method for determining the most likely among
a set of competing hypotheses about the mechanisms that generated observed data. BMS …
a set of competing hypotheses about the mechanisms that generated observed data. BMS …
Multiway canonical correlation analysis of brain data
Brain data recorded with electroencephalography (EEG), magnetoencephalography (MEG)
and related techniques often have poor signal-to-noise ratios due to the presence of multiple …
and related techniques often have poor signal-to-noise ratios due to the presence of multiple …
[HTML][HTML] Good practice for conducting and reporting MEG research
Magnetoencephalographic (MEG) recordings are a rich source of information about the
neural dynamics underlying cognitive processes in the brain, with excellent temporal and …
neural dynamics underlying cognitive processes in the brain, with excellent temporal and …
[PDF][PDF] SPM12 manual
This chapter focuses on the imaging (or distributed) method for implementing EEG/MEG
source reconstruction in SPM. This approach results in a spatial projection of sensor data …
source reconstruction in SPM. This approach results in a spatial projection of sensor data …
The role of Hebbian learning in human perception: a methodological and theoretical review of the human Visual Long-Term Potentiation paradigm
RL Sumner, MJ Spriggs… - Neuroscience & …, 2020 - Elsevier
Long-term potentiation (LTP) is one of the most widely studied forms of neural plasticity, and
is thought to be the principle mechanism underlying long-term memory and learning in the …
is thought to be the principle mechanism underlying long-term memory and learning in the …
EEG and MEG data analysis in SPM8
SPM is a free and open source software written in MATLAB (The MathWorks, Inc.). In
addition to standard M/EEG preprocessing, we presently offer three main analysis tools:(i) …
addition to standard M/EEG preprocessing, we presently offer three main analysis tools:(i) …
Predictive top-down integration of prior knowledge during speech perception
A striking feature of human perception is that our subjective experience depends not only on
sensory information from the environment but also on our prior knowledge or expectations …
sensory information from the environment but also on our prior knowledge or expectations …
An insight-related neural reward signal
Moments of insight, a phenomenon of creative cognition in which an idea suddenly emerges
into awareness as an “Aha!” are often reported to be affectively positive experiences. We …
into awareness as an “Aha!” are often reported to be affectively positive experiences. We …
A multi-subject, multi-modal human neuroimaging dataset
DG Wakeman, RN Henson - Scientific data, 2015 - nature.com
We describe data acquired with multiple functional and structural neuroimaging modalities
on the same nineteen healthy volunteers. The functional data include …
on the same nineteen healthy volunteers. The functional data include …
Inattentional deafness: visual load leads to time-specific suppression of auditory evoked responses
Due to capacity limits on perception, conditions of high perceptual load lead to reduced
processing of unattended stimuli. Accumulating work demonstrates the effects of visual …
processing of unattended stimuli. Accumulating work demonstrates the effects of visual …