Minghua Zheng's Journal Club session where he will talk about a paper "Learning To Count Everything"
Tag: Neural networks
Synchronization through Uncorrelated Noise in Excitatory-Inhibitory Networks
Christoph Metzner's Journal Club session where he will talk about a paper "Synchronization through Uncorrelated Noise in Excitatory-Inhibitory Networks"
Learning Compositional Sequences with Multiple Time Scales through a Hierarchical Network of Spiking Neurons
Muhammad Yaqoob's Journal Club session where he will talk about a paper "Learning Compositional Sequences with Multiple Time Scales through a Hierarchical Network of Spiking Neurons"
Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer
Ohki Katakura's journal club session where he will talk about the paper "Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer".
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.
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)".
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Learning computational modelling neuroscience Machine Learning Homoeostasis Computer Science spiking neural networks navigation olfaction Dendritic computation PCA Neuronal Morphology robotics Open position Associative memory Studentship Topological data analysis Artificial Intelligence Software development deep learning computational neuroscience synaptic plasticity clustering Neural networks Neuromorphic hardware Network connectivity optimization Structural plasticity Cerebellum Persistent homology
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