Damien Drix's journal club session, where he will present an overview of learning in Caphalopod brains, while referencing various papers.
Author: Rebecca Miko
The power of deep networks and learning
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)".
Microcircuits and their interactions in epilepsy: is the focus out of focus?
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)".
Finding K-Means Clustering
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 LearningOn the Nernst-Planck equation
Reinoud Maex's journal club session on his review: "On the Nernst-Planck equation (Reinoud Maex, 2017)"
Tagged as : Computational NeuroscienceComputational Model of the Cerebellum and the Basal Ganglia for Interval Timing Learning
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)"
Biocomputation Robots and ArchaeaBot Project
Alex May and Anna Dumitriu's journal club session on their latest collaborative robotics artwork projects “ArchaeaBot” and “BioCompuation Bots”.
Olfactory coding in the turbulent realm
Rebecca Miko's journal club session on 'Olfactory coding in the turbulent realm' by Jacob et al.
How the Olfactory Bulb processes naturalistic time-varying inputs
Rebecca will be presenting the work she conducted for her masters thesis titled 'How the Olfactory Bulb processes naturalistic time-varying inputs'.
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neuroscience Computer Science COVID-19 PCA Persistent homology Convolutional Neural Networks Deep learning Associative memory Purkinje cell cerebellum olfaction computational neuroscience Neuromorphic hardware Dendritic computation Evolutionary algorithms Software development optimization Open position Structural plasticity neural networks robotics Neurons Studentship Neuronal Morphology Artificial intelligence computational modelling Homoeostasis Network connectivity synaptic plasticity machine learning