Difference between revisions of "Journal Club"
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== Articles == | == Articles == | ||
* [Aug 30, 2017] Shmuelof and Krakauer, 2011. Are we ready for a natural history of motor learning? [[Media:Journal_Club_Aug_30_2017.pdf]] [http://www.sciencedirect.com/science/article/pii/S0896627311009299 Paper] | * [Aug 30, 2017] Shmuelof and Krakauer, 2011. Are we ready for a natural history of motor learning? [[Media:Journal_Club_Aug_30_2017.pdf]] [http://www.sciencedirect.com/science/article/pii/S0896627311009299 Paper] | ||
| − | * [Sept 11, 2017] Thura and Cisek, 2017. The Basal Ganglia Do Not Select Reach | + | * [Sept 11, 2017] Thura and Cisek, 2017. The Basal Ganglia Do Not Select Reach Targets but Control the Urgency of Commitment. [[File:JC_Sept_11.pdf]] |
| − | Targets but Control the Urgency of Commitment. [[File:JC_Sept_11.pdf]] | + | |
[https://www.ncbi.nlm.nih.gov/pubmed/28823728 Paper] | [https://www.ncbi.nlm.nih.gov/pubmed/28823728 Paper] | ||
* [Jan 11, 2018] Munafò et al., 2017. A manifesto for reproducible science. [https://www.nature.com/articles/s41562-016-0021] | * [Jan 11, 2018] Munafò et al., 2017. A manifesto for reproducible science. [https://www.nature.com/articles/s41562-016-0021] | ||
Revision as of 19:10, 4 April 2018
Articles
- [Aug 30, 2017] Shmuelof and Krakauer, 2011. Are we ready for a natural history of motor learning? Media:Journal_Club_Aug_30_2017.pdf Paper
- [Sept 11, 2017] Thura and Cisek, 2017. The Basal Ganglia Do Not Select Reach Targets but Control the Urgency of Commitment. File:JC Sept 11.pdf
- [Jan 11, 2018] Munafò et al., 2017. A manifesto for reproducible science. [1]
- [March 8, 2018] Castañón et al., 2018 (preprint). Human noise blindness drives suboptimal cognitive inference. [2]
- [March 15, 2018] Odegaard et al., 2017. Superior colliculus neuronal ensemble activity signals optimal rather than subjective confidence. [3]
- [March 22, 2018] Dasgupta, Stevens, Navlakha, 2017. A neural algorithm for a fundamental computing problem. [4]
Tutorials
- Machine learning introduction - Gunnar
- Linear Regression - Sisi
- Linear Classification - Parisa
- Markov Chain Montre Carlo - Gunnar
- Introduction to PCA and ICA - Cindy
- Expectation Maximization - Brandon and Jonathan
- Hidden Markov Models - Parisa
- Kalman filter - Josh
- Rate-based networks & error back-propagation learning - Scott
- Support Vector Machines - Jerry
- Deep belief networks - Tiger
Proposed
- ...
