Erik J. Peterson, Ph.D.

Affiliations: 
Psychology Colorado State University, Fort Collins, CO 
 2012-2013 Psychology University of Pittsburgh, Pittsburgh, PA, United States 
 2013- Cognitive Science University of California, San Diego, La Jolla, CA 
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"Erik Peterson"
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Parents

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Carol A. Seger grad student 2007-2012 Colorado State
 (Rewards are categories.)
Bradley Voytek post-doc UCSD
Timothy D. Verstynen post-doc 2018- Carnegie Mellon
Mark E. Wheeler post-doc 2012-2013 UCSD
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Publications

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Peterson EJ, Rosen BQ, Belger A, et al. (2023) Aperiodic Neural Activity is a Better Predictor of Schizophrenia than Neural Oscillations. Clinical Eeg and Neuroscience. 15500594231165589
Donoghue T, Haller M, Peterson EJ, et al. (2020) Parameterizing neural power spectra into periodic and aperiodic components. Nature Neuroscience. 23: 1655-1665
Peterson EJ, Voytek B. (2020) Homeostatic mechanisms may shape the type and duration of oscillatory modulation. Journal of Neurophysiology
Gao R, Peterson EJ, Voytek B. (2017) Inferring synaptic excitation/inhibition balance from field potentials. Neuroimage
Cole SR, van der Meij R, Peterson EJ, et al. (2017) Nonsinusoidal beta oscillations reflect cortical pathophysiology in Parkinson's disease. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Peterson EJ, Seger CA. (2013) Many hats: intratrial and reward level-dependent BOLD activity in the striatum and premotor cortex. Journal of Neurophysiology. 110: 1689-702
Seger CA, Peterson EJ. (2013) Categorization = decision making + generalization. Neuroscience and Biobehavioral Reviews. 37: 1187-200
Seger CA, Dennison CS, Lopez-Paniagua D, et al. (2011) Dissociating hippocampal and basal ganglia contributions to category learning using stimulus novelty and subjective judgments. Neuroimage. 55: 1739-53
Seger CA, Peterson EJ, Cincotta CM, et al. (2010) Dissociating the contributions of independent corticostriatal systems to visual categorization learning through the use of reinforcement learning modeling and Granger causality modeling. Neuroimage. 50: 644-56
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