Category-Specific Cortical Activity Precedes Retrieval During Memory Search
By Sean M. Polyn, Vaidehi S. Natu, J. Cohen, Kenneth A. Norman. Science, 2005
712 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/c6d694615145da8a54a38e57860ec952054f6335
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Randy L. Buckner
- Vinod Menon
- Marcus E. Raichle
- Abraham Z. Snyder
- Matthew Botvinick
- J. Cohen
- Olaf Sporns
- Jessica R. Andrews-Hanna
Citations in the corpus
- Neural Evidence for a Distinction Between Short-Term Memory and the Focus of Attention (2011, neutral): “(Note that, although this task requires LTM for stimulus pairings, it is a test of STM, because the correct evaluation of the probe requires memory for what was presented at the beginning of the trial.)”
- PRoNTo: Pattern Recognition for Neuroimaging Toolbox (2013, background): “The prediction of mental states related to memory retrieval (Polyn et al. 2005; Chadwick et al. 2010), or the patterns of hidden intentions (Haynes et al. 2007) can also be achieved.”
- Deconvolving BOLD activation in event-related designs for multivoxel pattern classification analyses (2011, background): “1), avoids multicollinearity by simply taking the time point corresponding to 6 s after the stimulus presentation, assuming that this will capture the peak activation for the stimulus and reduce collinearity almost completely (Polyn et al., 2005).”
- Post-learning hippocampal dynamics promote preferential retention of rewarding events (2016, methodology): “We then selected the data from all voxels within our hippocampal ROI and loaded them into the Princeton MVPA toolbox (Polyn et al., 2005) (http://www.csbmb.princeton.edu/mvpa) that was used for all further MVPA pre-processing and classification.”
- A context maintenance and retrieval model of organizational processes in free recall (2009, positive): “Using machine-learning techniques (Norman, Polyn, Detre, & Haxby, 2006), Polyn et al. (2005) characterized the pattern of brain activity associated with each study category, on a participant-by-participant basis.”
- Confounds in multivariate pattern analysis: Theory and rule representation case study (2013, positive): “For region's Polyn et al. (2005) reported that MVPA can extract information that can be used to predict the semantic category (i.e., face, location, or object) of a recalled item several seconds before the recall behavior occurs .”
- The Cognitive Neuroscience of Human Memory Since H.M (2011, background): “For example, several studies have found that the modality-specific or category-specific processes engaged at encoding tend to be re-engaged at retrieval (e.g., Polyn et al. 2005, Wheeler et al. 2000, Woodruff et al. 2005).”
- Machine learning classifiers and fMRI: a tutorial overview (2008, background): “Note that this does not bar us from using consecutive images in the test set, if the purpose is not just to obtain an accuracy estimate (see Applications of pattern classification section for Polyn et al., 2005, a case where training examples come from block data and test examples from fast eventr”
- Moderate Levels of Activation Lead to Forgetting In the Think/No-Think Paradigm (2013, neutral): “The effect of this procedure was to shift the regressors forward by 3 scans (i.e., 6 seconds in total; Polyn et al., 2005; McDuff et al., 2009).”