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