Order:
  1.  96
    Event-related potentials and recognition memory.Michael D. Rugg & Tim Curran - 2007 - Trends in Cognitive Sciences 11 (6):251-257.
  2.  24
    Sequential effects in response time reveal learning mechanisms and event representations.Matt Jones, Tim Curran, Michael C. Mozer & Matthew H. Wilder - 2013 - Psychological Review 120 (3):628-666.
  3.  36
    On the neural mechanisms of sequence learning.Tim Curran - 1995 - PSYCHE: An Interdisciplinary Journal of Research On Consciousness 2.
    Nissen and Bullemer's serial reaction time task has proven to be a useful model task for exploring implicit sequence learning. Neuropsychological research indicates that SRT learning may depend on the integrity of the basal ganglia, but not on medial temporal and diencephalic structures that are crucial for explicit learning. Recent neuroimaging research demonstrates that motor cortical areas , prefrontal, and parietal cortex also may be involved. This paper reviews this neuropsychological and neuroimaging research, but finds it lacking specific links between (...)
    Direct download  
     
    Export citation  
     
    Bookmark   8 citations  
  4.  32
    A defense of the subordinate-level expertise account for the N170 component.Bruno Rossion, Tim Curran & Isabel Gauthier - 2002 - Cognition 85 (2):189-196.
  5.  35
    MAO-A Phenotype Effects Response Sensitivity and the Parietal Old/New Effect during Recognition Memory.Robert S. Ross, Andrew Smolen, Tim Curran & Erika Nyhus - 2018 - Frontiers in Human Neuroscience 12.
  6.  10
    Amnesia 111 cognitive.Tim Curran & Daniel L. Schacter - 2000 - In Martha J. Farah & Todd E. Feinberg, Patient-Based Approaches to Cognitive Neuroscience. MIT Press. pp. 291.
    Direct download  
     
    Export citation  
     
    Bookmark  
  7. ERP explorations of dual processes in recognition memory.Tim Curran, Katharine L. Tepe & Piatt & Carley - 2006 - In Hubert D. Zimmer, Axel Mecklinger & Ulman Lindenberger, Handbook of Binding and Memory: Perspectives From Cognitive Neuroscience. Oxford University Press.
     
    Export citation  
     
    Bookmark   1 citation  
  8.  21
    Single-Trial EEG Analysis Predicts Memory Retrieval and Reveals Source-Dependent Differences.Eunho Noh, Kueida Liao, Matthew V. Mollison, Tim Curran & Virginia R. De Sa - 2018 - Frontiers in Human Neuroscience 12:310151.
    We used pattern classifiers to extract features related to recognition memory retrieval from the temporal information in single-trial electroencephalography (EEG) data during attempted memory retrieval. Two-class classification was conducted on correctly remembered trials with accurate context (or source) judgments vs. correctly rejected trials. The average accuracy for datasets recorded in a single session was 61% while the average accuracy for datasets recorded in two separate sessions was 56%. To further understand the basis of the classifier’s performance, two other pattern classifiers (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark