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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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
Schmidt JR, Weissman DH. (2015) Contingent attentional capture triggers the congruency sequence effect. Acta Psychologica. 159: 61-8
Weissman DH, Egner T, Hawks Z, et al. (2015) The congruency sequence effect emerges when the distracter precedes the target. Acta Psychologica. 156: 8-21
Schmidt JR, De Schryver M, Weissman DH. (2014) Removing the influence of feature repetitions on the congruency sequence effect: why regressing out confounds from a nested design will often fall short. Journal of Experimental Psychology. Human Perception and Performance. 40: 2392-402
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