Thomas Miconi

This paper develops an artificial neural network model with synaptic plasticity and neuromodulation to study relational learning and fast knowledge reassembly through transitive inference.

This study shows that biologically plausible learning in recurrent neural networks can replicate complex neural dynamics observed during cognitive tasks using delayed rewards.