Professional Development

Writing a Computational Neuroscience Manuscript for The Journal of Neuroscience

October 03, 2023

12:00 PM - 1:00 PM EDT

Join this interactive session as JNeurosci Reviewing Editors Bruno Averbeck and Anne-Marie Oswald discuss best practices for writing computational neuroscience papers for The Journal of Neuroscience. They will offer tips and strategies for how to organize the paper and clearly present technical material to the broad neuroscience community that is the readership of the journal. Attendees can submit questions at registration and live during the webinar.

Speakers

Anne-Marie Oswald, PhD

Anne-Marie Oswald is an associate professor of neurobiology at the University of Chicago. Her main research interests focus on how circuit plasticity underlie changes in spike activity and assembly formation during novel odor processing and olfactory learning. She collaborates and publishes with computational neuroscientists. She is on the executive board for the Computational and Systems Neuroscience (CoSyNe) meeting. She has also lectured in a number of computational neuroscience summer schools. She was previously an associate professor of neuroscience at the University of Pittsburgh. She received her BS in biology from Simon Fraser University and her PhD in neuroscience at the University of Ottawa. She completed her postdoctoral training at New York University and Carnegie Mellon.

Bruno Averbeck, PhD

Bruno Averbeck is a principal investigator at the National Institute of Mental Health (NIMH) and chief of the Section on Learning and Decision Making (SLDM) in the Laboratory of Neuropsychology. He previously was a senior lecturer at the University College London, where he began experiments looking at the role of frontal-striatal circuits in learning, combining neurophysiology, brain imaging and patient studies. Averbeck obtained his BS in electrical engineering and his PhD in neuroscience from the University of Minnesota. He completed his postdoctoral training at the University of Rochester, studying neural mechanisms underlying sequential learning, coding of vocalizations and population coding.

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Writing a Computational Neuroscience Manuscript for The Journal of Neuroscience

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