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"
Tag: Neural networks
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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Associative memory robotics computational modelling spiking neural networks Homoeostasis Structural plasticity computational neuroscience neuroscience artificial intelligence Speech recognition Studentship PCA machine learning olfaction clustering SpiNNaker Topological data analysis synaptic plasticity Open position Software development Network connectivity Neuronal Morphology cerebellum Neuron deep learning Neural networks Neuromorphic hardware Persistent homology Astronomy Dendritic computation
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