Kyrre Glette

This paper introduces ANCA, a neocortex-inspired model with movable sensors that naturally exhibits active sensing, improving classification performance and scalability without explicit attention mechanisms.

This study uses intracranial recordings to show the brain continuously encodes structure in random auditory stimuli through transitional probabilities, involving non-auditory brain regions.

The paper compares information-theoretical metrics with traditional methods to analyze evoked brain responses from intracranial EEG recordings in humans and marmoset monkeys.