Singular Spectrum Analysis (SSA) can be used for smoothing time series and extracting the trend and oscillatory components. In this talk, Yi will introduce the basic idea of SSA and explain how it works by giving a simple example.
Date: 23/03/2018
Time: 16:00
Location: LB252
olfaction synaptic plasticity robotics machine learning Associative memory Purkinje cell Computer Science Neuromorphic hardware neural networks neuroscience Convolutional Neural Networks PCA Neuronal Morphology optimization Evolutionary algorithms Dendritic computation Persistent homology Deep learning computational modelling Open position cerebellum Neurons computational neuroscience Software development COVID-19 Network connectivity Studentship Homoeostasis Structural plasticity Artificial intelligence