Ankur Sinha's journal club session where he presents results from his Ph.D. research on the activity dependent dynamics of synaptic structures.
Category: Seminars
The Potential for Student Performance Prediction in Small Cohorts with Minimal Available Attributes using Learning Analytics Techniques
Edward Wakelam's journal club session, where he will present his work.
Tagged as : machine learningWhat Is Decidable About Low Dimensional Hybrid Systems?
Olga Tveretina's journal club session, where she will present herself and Andrei Sandler's work.
ASP: Learning to Forget With Adaptive Synaptic Plasticity in Spiking Neural Networks
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 Learning
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Neuronal Morphology Software development optimization Open position robotics computational modelling Associative memory Persistent homology Purkinje cell Convolutional Neural Networks Homoeostasis neuroscience artificial intelligence Network connectivity Computer Science neural networks Neuromorphic hardware Neurons Deep learning Dendritic computation Evolutionary algorithms computational neuroscience Studentship cerebellum Structural plasticity olfaction synaptic plasticity COVID-19 PCA machine learning