Swartz Prize
(Redirected from Swartz Prize for Theoretical and Computational Neuroscience)
The Swartz Prize for Theoretical and Computational Neuroscience is an annual award supported by the Swartz Foundation and administered by the Society for Neuroscience.
History
[edit]The prize was inaugurated in 2008 to "honor an individual whose activities have produced a significant cumulative contribution to theoretical models or computational methods in neuroscience or who has made a particularly noteworthy recent advance in theoretical or computational neuroscience." The winner receives a cash prize of US$25,000 and expenses to attend the Society for Neuroscience annual meeting.[1]
Awardees
[edit]- Source: Society for Neuroscience
- 2008: Wilfrid Rall
- 2009: Horace Barlow
- 2010: Larry Abbott
- 2011: Haim Sompolinsky
- 2012: John J. Hopfield
- 2013: William S. Bialek
- 2014: Tomaso Poggio
- 2015: Terry Sejnowski
- 2016: Nancy Kopell
- 2017: Xiao-Jing Wang
- 2018: Kenneth D. Miller
- 2019: John Rinzel
- 2020: Emery N. Brown
- 2021: Nicolas Brunel
- 2022: Ila R. Fiete
- 2023: Misha Tsodyks
See also
[edit]References
[edit]- ^ "Swartz Prize for Theoretical and Computational Neuroscience". Society for Neuroscience. Retrieved 6 October 2018.
External links
[edit]- Swartz Prize for Theoretical and Computational Neuroscience - Society for Neuroscience. Info and winner list.