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)"
Rank order decoding of temporal input patterns
Volker Steuber's journal club session, where he will briefly discuss different forms of neural coding.
Modelling nicotine addiction
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.
Learning in Cephalopod Brains
Damien Drix's journal club session, where he will present an overview of learning in Caphalopod brains, while referencing various papers.
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 LearningNeuroFedora: a ready to use Free/Open source platform for neuroscientists
Ankur Sinha's journal club session on the NeuroFedora initiative.
On 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)"
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Neuromorphic hardware Neurons robotics Purkinje cell Deep learning computational neuroscience Evolutionary algorithms neural networks Neuronal Morphology olfaction neuroscience Open position Artificial intelligence Dendritic computation synaptic plasticity cerebellum Associative memory Network connectivity Software development Homoeostasis Computer Science optimization PCA Convolutional Neural Networks Persistent homology Studentship Structural plasticity COVID-19 machine learning computational modelling