Brice Alan Kuhl, Ph.D.

Affiliations: 
2015- Psychology University of Oregon, Eugene, OR, United States 
Area:
Cognitive Neuroscience, Memory, Attention, Cognitive Control
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"Brice Kuhl"
Mean distance: 13.68 (cluster 23)
 
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Publications

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Lee H, Samide R, Richter FR, et al. (2018) Decomposing Parietal Memory Reactivation to Predict Consequences of Remembering. Cerebral Cortex (New York, N.Y. : 1991)
Favila SE, Samide R, Sweigart SC, et al. (2018) Parietal representations of stimulus features are amplified during memory retrieval and flexibly aligned with top-down goals. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Long NM, Kuhl BA. (2018) Bottom-up and top-down factors differentially influence stimulus representations across large-scale attentional networks. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Chanales AJH, Oza A, Favila SE, et al. (2017) Overlap among Spatial Memories Triggers Repulsion of Hippocampal Representations. Current Biology : Cb
Kuhl BA, Long NM. (2017) Sampling memory to make profitable choices. Nature Neuroscience. 20: 903-904
Favila SE, Chanales AJ, Kuhl BA. (2016) Experience-dependent hippocampal pattern differentiation prevents interference during subsequent learning. Nature Communications. 7: 11066
Long NM, Lee H, Kuhl BA. (2016) Hippocampal mismatch signals are modulated by the strength of neural predictions and their simi- larity to outcomes. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Lee H, Kuhl BA. (2016) Reconstructing Perceived and Retrieved Faces from Activity Patterns in Lateral Parietal Cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 6069-82
Lee H, Chun MM, Kuhl BA. (2016) Lower Parietal Encoding Activation Is Associated with Sharper Information and Better Memory. Cerebral Cortex (New York, N.Y. : 1991)
Richter FR, Chanales AJ, Kuhl BA. (2015) Predicting the integration of overlapping memories by decoding mnemonic processing states during learning. Neuroimage. 124: 323-335
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