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)".

Ankur Sinha's journal club session on the NeuroFedora initiative.

Reinoud Maex's journal club session on his review: "On the Nernst-Planck equation (Reinoud Maex, 2017)"

Ohki Katakura's journal club session on his master's work "Computational Model of the Cerebellum and the Basal Ganglia for Interval Timing Learning (Ohki Katakura; Tadashi Yamazaki, 2016)"

Alex May and Anna Dumitriu's journal club session on their latest collaborative robotics artwork projects “ArchaeaBot” and “BioCompuation Bots”.

Mohammad Tayarani-Najaran's journal club session on his article "Maximum Satisfiability Anatomy of the Fitness Landscape for a Hard Combinatorial Optimization Problem (Adam Prugel-Bennett; Mohammad Tayarani-Najaran, 2011)".

Yi Sun's journal club session, where she will present the paper "Asynchronism-based principal component analysis for time series data mining (Hailin Li, 2014)".