Edward Wakelam's journal club session, where he will present his work.
- Tagged as : machine learning
Olga Tveretina's journal club session, where she will present herself and Andrei Sandler's work.
Sam Sutton's journal club session, where he will present the paper "ASP, Learning to Forget With Adaptive Synaptic Plasticity in Spiking Neural Networks (Panda et al., 2018)"
Volker Steuber's journal club session, where he will briefly discuss different forms of neural coding.
Reinoud Maex's journal club session, where he will summerise the work he did in Paris, which was sponsored by Targacept: a pharmaceutical company which specialised in nicotinic compounds.
Damien Drix's journal club session, where he will present an overview of learning in Caphalopod brains, while referencing various papers.
Shabnam Kadir's journal club session, where she will present the papers "The power of deeper networks for expressing natural functions (David Rolnick and Max Tegmark, 2018)" and "Why does deep and cheap learning work so well? (Henry W. Lin, Max Tegmark and David Rolnick, 2017)".
Julia Goncharenko's journal club session, where she will present the paper "Microcircuits and their interactions in epilepsy, is the focus out of focus? (Jeanne Paz and John Huguenard, 2015)".
Deepak Panday's journal club session, where he will present the papers "Recovering the number of clusters in data sets with noise features using feature rescaling factors (Renato Cordeiro de Amorima and Christian Hennig, 2015)" and "Intelligent Choice of the Number of Clusters in K-Means Clustering An Experimental Study with Different Cluster Spreads (Mark Ming-Tso Chiang and Boris Mirkin, 2010)".Tagged as : Machine Learning
Ankur Sinha's journal club session on the NeuroFedora initiative.
olfaction Community Dendritic computation SVM artificial intelligence neuroscience Open Position Human Brain Project Free software Studentship Systems biology Homoeostasis Associative memory Synaptic plasticity Cerebellum robotics Bioinformatics Neuron Computational Frameworks Computational neuroscience Network connectivity PCA data analysis Software development Computational modelling Astronomy Neuronal Morphology Research Fellowship Structural plasticity Machine learning