Research Topics
| David A PetersonSummaryAffiliation: Colorado State University Country: USA Publications
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Detail Information
Publications
Delay modulates spectral correlates in the human EEG of non-verbal auditory working memoryDavid A Peterson
Department of Computer Science, Colorado State University, Fort Collins, CO 80523, USA
Neurosci Lett 328:17-20. 2002..The results suggest that the cortical dynamics that underlie auditory working memory are highly dependent upon a duration-dependent encoding strategy...
Music increases frontal EEG coherence during verbal learningDavid A Peterson
Department of Computer Science, Colorado State University, Fort Collins, CO 80523, USA
Neurosci Lett 412:217-21. 2007..The results suggest that verbal learning with a musical template strengthens coherent oscillations in frontal cortical networks involved in verbal encoding...
The effectiveness of music as a mnemonic device on recognition memory for people with multiple sclerosisKimberly Sena Moore
Colorado State University, Fort Collins, CO, USA
J Music Ther 45:307-29. 2008..Correlation analyses suggest that music mnemonics may facilitate learning for people who are less impaired by the disease. Implications for future research are discussed...
Temporal entrainment of cognitive functions: musical mnemonics induce brain plasticity and oscillatory synchrony in neural networks underlying memoryMichael H Thaut
Center for Biomedical Research in Music, Molecular, Cellular, and Integrative Neuroscience Programs, Colorado State University, Fort Collins, 80523, USA
Ann N Y Acad Sci 1060:243-54. 2005..Collectively our data provide evidence that melodic-rhythmic templates as temporal structures in music may drive internal rhythm formation in recurrent cortical networks involved in learning and memory...
Comparison of linear, nonlinear, and feature selection methods for EEG signal classificationDeon Garrett
Department of Computer Science, Colorado State University, Fort Collins 80523, USA
IEEE Trans Neural Syst Rehabil Eng 11:141-4. 2003..An approach to feature selection based on genetic algorithms is also presented with preliminary results of application to EEG during finger movement...
