Tag: Nonlinear Sciences


  1. Novel Computational Methods for Predicting Transitions in Spatiotemporal Neurodynamics between Attention and Mind-wandering

    David Haydock's Journal Club session where he will talk about his recent work on "Novel Computational Methods for Predicting Transitions in Spatiotemporal Neurodynamics between Attention and Mind-wandering"

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    Tagged as : Adaptation and Self-Organizing Systems Computer Science Formal Languages and Automata Theory Neurons and Cognition Nonlinear Sciences Quantitative Biolog

  2. Simulating and Reconstructing Neurodynamics with Epsilon-Automata Applied to Electroencephalography (EEG) Microstate Sequences

    David Haydock's Journal Club session where he will talk about a paper "Simulating and Reconstructing Neurodynamics with Epsilon-Automata Applied to Electroencephalography (EEG) Microstate Sequences"

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    Tagged as : Adaptation and Self-Organizing Systems Computer Science Formal Languages and Automata Theory Neurons and Cognition Nonlinear Sciences Quantitative Biolog

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Studentship machine learning Neuronal Morphology Neuromorphic hardware Dendritic computation Purkinje cell Associative memory Evolutionary algorithms Structural plasticity Homoeostasis cerebellum robotics computational modelling Computer Science Software development Deep learning PCA olfaction neural networks neuroscience Network connectivity computational neuroscience Convolutional Neural Networks Neurons Artificial intelligence COVID-19 optimization Open position Persistent homology synaptic plasticity

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