Daniel H. Weissman

Affiliations: 
University of Michigan, Ann Arbor, Ann Arbor, MI 
Area:
Attention
Google:
"Daniel Weissman"
Mean distance: 13.99 (cluster 15)
 
SNBCP
Cross-listing: MichiganTree

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Publications

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Cassady K, Gagnon H, Freiburger E, et al. (2020) Network segregation varies with neural distinctiveness in sensorimotor cortex. Neuroimage. 116663
Braem S, Bugg JM, Schmidt JR, et al. (2019) Measuring Adaptive Control in Conflict Tasks. Trends in Cognitive Sciences
Lalwani P, Gagnon H, Cassady K, et al. (2019) Neural distinctiveness declines with age in auditory cortex and is associated with auditory GABA levels. Neuroimage. 116033
Gagnon H, Simmonite M, Cassady K, et al. (2019) Michigan Neural Distinctiveness (MiND) study protocol: investigating the scope, causes, and consequences of age-related neural dedifferentiation. Bmc Neurology. 19: 61
Cassady K, Gagnon H, Lalwani P, et al. (2018) Sensorimotor network segregation declines with age and is linked to GABA and to sensorimotor performance. Neuroimage
Simmonite M, Carp J, Foerster BR, et al. (2018) Age-Related Declines in Occipital GABA are Associated with Reduced Fluid Processing Ability. Academic Radiology
Harrivel AR, Weissman DH, Noll DC, et al. (2016) Dynamic filtering improves attentional state prediction with fNIRS. Biomedical Optics Express. 7: 979-1002
Weissman DH, Hawks ZW, Egner T. (2015) Different Levels of Learning Interact to Shape the Congruency Sequence Effect. Journal of Experimental Psychology. Learning, Memory, and Cognition
Weissman DH, Colter K, Drake B, et al. (2015) The congruency sequence effect transfers across different response modes. Acta Psychologica. 161: 86-94
Schmidt JR, Weissman DH. (2015) Congruency sequence effects and previous response times: conflict adaptation or temporal learning? Psychological Research
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