Predictive-coding has justifiably become a highly influential theory in Neuroscience.
However, the possibility of its unfalsifiability has been raised. We argue that if predictive …

The experimental study of learning and plasticity has always been driven by an implicit
question: how can physiological changes be adaptive and improve performance? For …

For both humans and machines, the essence of learning is to pinpoint which components in
its information processing pipeline are responsible for an error in its output, a challenge that …

Associative memories in the brain receive and store patterns of activity registered by the
sensory neurons, and are able to retrieve them when necessary. Due to their importance in …

Forming accurate memory of sequential stimuli is a fundamental function of biological
agents. However, the computational mechanism underlying sequential memory in the brain …

One of the key problems the brain faces is inferring the state of the world from a sequence of
dynamically changing stimuli, and it is not yet clear how the sensory system achieves this …

The N400 event-related component has been widely used to investigate the neural
mechanisms underlying real-time language comprehension. However, despite decades of …

Predictive coding is an influential model of cortical neural activity. It proposes that perceptual
beliefs are furnished by sequentially minimising “prediction errors”—the differences between …

Artificial intelligence (AI) is rapidly becoming one of the key technologies of this century. The
majority of results in AI thus far have been achieved using deep neural networks trained with …

The computational principles adopted by the hippocampus in associative memory (AM)
tasks have been one of the most studied topics in computational and theoretical …