Christos H. Papadimitriou

This paper presents a simulated neuromorphic system that learns language acquisition through exposure to grounded sentences, demonstrating the ability to understand semantics, syntax, and generate novel sentences.

The paper proposes a computational model of brain function called the Assembly Calculus, which describes how neuronal assemblies perform operations like projection, association, and pattern-completion to support cognitive functions.

The paper investigates how spike-timing-dependent plasticity (STDP) enables the formation of associations between memory traces in spiking neuron networks, showing it can reproduce both fast overlap-based and new-assembly-based memory association patterns.