Emil Dmitruk's Journal Club session where he will talk about "Topological Data Analysis Reveals Brain Connectivity Differences between Schizophrenia Subjects and Healthy Controls".
Visual experience, topology, and the perception of art
Shabnam Kadir's Journal Club session where she will talk about "Visual experience, topology, and the perception of art".
Transforming Data into Knowledge: How to Build Knowledge Graphs
Yi Sun's Journal Club session where she will talk about "Transforming Data into Knowledge: How to Build Knowledge Graphs".
A 3D atlas-based model for visualising brain nuclei targeted by high-intensity focused ultrasound in the treatment of tremor
Nada Yousif's Journal Club session where she will talk about "A 3D atlas-based model for visualising brain nuclei targeted by high-intensity focused ultrasound in the treatment of tremor".
Complexity of Reachability and Mortality for Low-dimensional Dynamical Systems
Olga Tveretina's Journal Club session where she will talk about "Complexity of Reachability and Mortality for Low-dimensional Dynamical Systems".
Attention in Neural Networks
Na Helian's Journal Club session where she will talk about "Attention in Neural Networks".
Metabolic activity organizes olfactory representations
Jim Bower's Journal Club session where he will talk about the paper "Metabolic activity organizes olfactory representations".
CEPS: An Open Access MATLAB Graphical User Interface (GUI) for the Analysis of Complexity and Entropy in Physiological Signals
Deepak Panday's Journal Club session where he will talk about his paper "CEPS: An Open Access MATLAB Graphical User Interface (GUI) for the Analysis of Complexity and Entropy in Physiological Signals".
An analytical model of the energy of ion mixing in the brain
Reinoud Maex's Journal Club session where he will talk about "An analytical model of the energy of ion mixing in the brain".
How the cerebellum recognises learnt and novel patterns: computational approach with a biologically detailed network model
Ohki Katakura's Journal Club session where he will talk about "How the cerebellum recognises learnt and novel patterns: computational approach with a biologically detailed network model".
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Artificial intelligence Associative memory Homoeostasis Neuronal Morphology Convolutional Neural Networks computational modelling Structural plasticity Neuromorphic hardware PCA optimization Evolutionary algorithms machine learning neuroscience Open position synaptic plasticity Persistent homology Computer Science Neurons neural networks robotics Software development Deep learning cerebellum olfaction Network connectivity computational neuroscience COVID-19 Purkinje cell Studentship Dendritic computation