Gatsby tea subjects archive

2015

Topics covered during tea talks. This list is automatically generated, contact the Tea administrators in case of problem.


DateDayPresenterTopicLinks
06/01/2015TuesdayJohn
08/01/2015ThursdayArthurThe Tradeoffs of Large Scale LearninglargeScaleLearning.pdf
09/01/2015FridayMehdiValue of Perfect Information
13/01/2015TuesdayGergo
15/01/2015ThursdayKevindopamine and schizophreniaSchizophrenia.pptx
16/01/2015FridayPeter DMarr's theory of the neocortexhttp://goo.gl/9hJcjK marrneo.pptx
20/01/2015TuesdayPedroComplementary adaptive processes contribute to the developmental plasticity of spatial hearingpaper
22/01/2015ThursdayHeiko
23/01/2015FridayThomasElectric EelselectricEels.pdf Catania-SM.pdf
27/01/2015TuesdayLaurencePurkinje-cell plasticity and cerebellar motor learning are graded by complex-spike duration
29/01/2015ThursdayMijung
30/01/2015FridayKristin
03/02/2015TuesdayJohn
05/02/2015ThursdayJoanaCalendars, calendar changes and a tiny bit of Astronomy.tea_talk3.pdf
06/02/2015FridayBen Huh
10/02/2015TuesdayWittawatK2-ABC: Approximate Bayesian Computation with Kernel Embeddingsk2abc.pdf
12/02/2015ThursdayArneMake code run faster using Cython2015_02_12_Tea_cython.pdf
17/02/2015TuesdayCarsentraveling waves and development in ferretspres1.pdf nn.3921.pdf
19/02/2015ThursdayBalajiAlias method"Darts, dice and coins" by Keith Schwarz alias-method.pdf
20/02/2015FridayKiyohito
26/02/2015ThursdayArthurScore Function Features for Discriminative Learning: Matrix and Tensor FrameworkscoreFeatures.pdf
27/02/2015FridayPeter L
02/03/2015MondayGaurav
03/03/2015TuesdayJohn
05/03/2015ThursdaySofiaShannon Information and Kolmogorov Complexity
12/03/2015ThursdayVincentSerial Dependence in visual perceptionNN link teatalk-03-12-2015.pdf
13/03/2015FridayManeesh
16/03/2015MondayZoltanSupervised Descent Method and its Applications to Face Alignmentpaper Zoltan_Szabo_tea_talk_14_03_2015.pdf
17/03/2015TuesdayElena
19/03/2015ThursdayPedroDe-extinctionrevive and restore slides.pdf
20/03/2015FridayEszterWhat conditional probability could not be
24/03/2015TuesdayMehdiMind matters: placebo enhances reward learning in Parkinson’s disease
10/04/2015FridayHeikoThe future of employmentthe_future_of_employment_paper.pdf the_future_of_employment_slides.pdf
17/04/2015FridayGergo
21/04/2015TuesdayKevinDopaminergic and glutamatergic microdomains in a subset of rodent mesoaccumbens axonsZhangEtAl2015.pdf
30/04/2015ThursdayBen HuhCurves of constant widthTea Talk 2015-04-30 Curves of Constant Width.pdf
01/05/2015FridaySanjeevan
05/05/2015TuesdayJohn
07/05/2015ThursdayThomasConstructible NumbersconstructibleNumbers.pdf
08/05/2015FridayPeter DLying and threats in bargaining gamescheaptalk.pptx
12/05/2015TuesdayLaurence
15/05/2015FridayJoanaCosmologyTea_talk_15-05-15.odp
19/05/2015TuesdayWittawatUseful Software/Tricks You Should Knowproductive_tools.pdf
21/05/2015ThursdayKiyohito
26/05/2015TuesdayBalajiApproximate Inference with the Variational Holder Bound
29/05/2015FridayEszter
02/06/2015TuesdayJohn
04/06/2015ThursdayGaurav
05/06/2015FridaySofia
11/06/2015ThursdayArneSyringe-injectable electronicspaper
12/06/2015FridayPeter LLooks, money and intelligencebeauty.pptx
16/06/2015TuesdayVincent
18/06/2015ThursdayCarsenoptimal cortical state for behavior, McGinley,tea.pdf
19/06/2015FridayZoltan
07/07/2015TuesdayFaz
09/07/2015ThursdayManeeshLDA, DPCA, etc.
10/07/2015FridayPedroUSB dead dropslides.pdf
14/07/2015TuesdayFederico
16/07/2015ThursdayKevin
17/07/2015FridayBen Huh
21/07/2015TuesdayThomasUSC and UCSD fight re Paul AisenteaTalkAisen.pdf
23/07/2015ThursdayLaurence
24/07/2015FridayMijung
31/07/2015FridayWittawatSupport Vector Clusteringsupport_vector_clustering.pdf
06/08/2015ThursdayArthurConvolutional Kernel NetworksconvolutionalKernelNetworks.pdf
07/08/2015FridayElenaBach's crab canoncrab_canon.ppt
11/08/2015TuesdayMehdiFactual and Counterfactual Action-Outcome Mappings Control Choice between Goal-Directed Actions in Rats, Current Biology, 2015
13/08/2015ThursdayKiyohito
14/08/2015FridayBalajiStochastic Expectation propagationlink to paper sep_slides.pdf
17/08/2015MondayAlessandroComputational Theory of MindTea Talk - Philosophy.pptx
20/08/2015ThursdayGaurav
21/08/2015FridayCarsen
10/09/2015ThursdayPeter DSubstraction in the VTAhttp://goo.gl/6Eeovx
11/09/2015FridaySofia
14/09/2015MondayJoanaThe glymphatic systemtea_talk_14-09-15.pdf
17/09/2015ThursdayArneBushdid et al. Science 2014http://goo.gl/eaIuts
18/09/2015FridayZoltanThe Khintchine Constant and FriendsZoltan_Szabo_tea_talk_18_09_2015.pdf
22/09/2015TuesdayPeter LSynaptic PlascticityOriginal paper plasticity.pptx
01/10/2015ThursdayKacper
02/10/2015FridayVincentFeedback Alignment: Biophysically Plausible Deep LearningArxiv lillicrap.pdf
08/10/2015ThursdayManeesh
09/10/2015FridayPedroEncyclopedia of Computational Neuroscienceslides.pdf
13/10/2015TuesdayFederico
15/10/2015ThursdayKevin
16/10/2015FridayMijung
20/10/2015TuesdayGergo
22/10/2015ThursdayWittawatOptimal Dating Strategysecretary_problem.pdf
23/10/2015FridayArthurOn the Equivalence between Quadrature Rules and Random FeaturesquadratureRandomFeatures.pdf
27/10/2015TuesdayMehdi
29/10/2015ThursdayKiyohitohaiku
05/11/2015ThursdayElenaThe longitude problemH4.pdf
06/11/2015FridayCarsenfeature selectivity in PFCtea.pdf PIIS0896627315008673.pdf
12/11/2015ThursdayJoanaDeath by experiment for local realismjsm_teatalk_12-11-15.pdf
13/11/2015FridayPeter DThe Helmholtz Machine and the Wake Sleep Algorithmhttp://www.gatsby.ucl.ac.uk/~dayan/papers/hdfn95.html hm.pdf
19/11/2015ThursdayEszterNon-negative matrix factorization implemented by (anti-)Hebbian neural networkNNMF_teatalk.pdf
20/11/2015FridayArneBeyond open-source software: open data, open anatomy, and open hardware in neuroscience2015_11_20_Tea_crcns_open-ephys.pdf
24/11/2015TuesdayGaurav
26/11/2015ThursdayKacper
27/11/2015FridayVincent
30/11/2015MondayManeeshp-values, power, false discoverypaper DC's blog
01/12/2015TuesdayFaz
04/12/2015FridaySanjeevan
08/12/2015TuesdayPeter LNot all neurons are the samenetworks.pptx
10/12/2015ThursdayFederico
11/12/2015FridayKevin
17/12/2015ThursdayWittawat9 Matlab Tricks that You Probably Want to Knowmatlab_tricks.pdf