I will discuss how a network (for example a neural network) can be characterized using Graph Theory. In particular I will discuss random networks, lattices and the interesting in between connectivity of a small world network. We will also play the Kevin Bacon game. Finally I will discuss our own research on network connectivity effects performance and what this might be for cortical connectivity.
Date: 09/10/2015
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