SfN's 48th annual meeting is the largest neuroscience conference for scientists and physicians devoted to understanding the brain and nervous system. The meeting will be held between November 3-7 at the San Diego Convention Center, with over 30,000 attendees from more than 80 countries.
Join eLife on stand 112 for a chance to meet our editors, ask us questions about the scope of what we publish and pick up a range of eLife goodies including new tote bags. Here are a number of dates for your diary that you won't want to miss:
Meet the editors
Join our eLife editors on the stand to find out more about our consultative peer review process, the scope of what we publish and more.
Sunday, November 4
10 – 11am
- Gary Westbrook – Senior Editor, Oregon Health and Science University, USA
- Yukiko Goda – Reviewing Editor, RIKEN Brain Science Institute, Japan
11am – 12noon
- Klaus Nave – Reviewing Editor, Max Planck Institute for Experimental Medicine, Germany
- Piali Sengupta – Reviewing Editor, Brandeis University, USA
1–2pm
- Susan Ackerman – Reviewing Editor, University of California, San Diego, USA
- Ron Calabrese – Senior Editor, Emory University, USA
2–3pm
- Richard Ivry – Senior Editor, University of California, Berkeley, USA
- David Badre – Reviewing Editor, Brown University, USA
Monday, November 5
10 – 11am
- Geoffrey Schoenbaum – Reviewing Editor, National Institute on Drug Abuse, USA
- Moritz Helmstaedter – Reviewing Editor, Max Planck Institute for Brain Research, Germany
1–2pm
- Laura Colgin – Senior Editor, University of Texas at Austin, USA
2–3pm
- Moses Chao – Reviewing Editor, New York University School of Medicine, USA
- Joseph Takahashi – Reviewing Editor, UT Southwestern Medical Center, USA
3–4pm
- Eve Marder, Deputy Editor, Brandeis University, USA
Tuesday, November 6
10–11am
- Eve Marder – Deputy Editor, Brandeis University, USA
11am-12noon
- Barbara Shinn-Cunningham – Reviewing Editor, Carnegie Mellon University, USA
Software demo
Wednesday, November 7
10–11am
- Stephen David – Oregon Health & Science University, USA.
Stephen will demonstrate the potential of Neural Encoding Model System (NEMS) – which helps create & fit mathematical models to time series data.
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