Learning and interpreting the structure of the environment is an innate feature of biological
systems, and is integral to guiding flexible behaviors for evolutionary viability. The concept of …

Recent neurophysiological and neuroanatomical studies suggest a close interaction
between sensory and motor processes across the neocortex. Here, I propose that the …

Learning to predict rewards based on environmental cues is essential for survival. It is
believed that animals learn to predict rewards by updating predictions whenever the …

The brain is a complex system comprising a myriad of interacting neurons, posing significant
challenges in understanding its structure, function, and dynamics. Network science has …

The incorporation of new information into the hippocampal network is likely to be
constrained by its innate architecture and internally generated activity patterns. However, the …

Fascinating phenomena such as landmark vector cells and splitter cells are frequently
discovered in the hippocampus. Without a unifying principle, each experiment seemingly …

One of the most salient features of life is its capacity to handle novelty and namely to thrive
and adapt to new circumstances and changes in both the environment and internal …

A complete neuroscience requires multilevel theories that address phenomena ranging from
higher-level cognitive behaviors to activities within a cell. We propose an extension to the …

Many deep neural network architectures loosely based on brain networks have recently
been shown to replicate neural firing patterns observed in the brain. One of the most exciting …

Prominent accounts of sentient behavior depict brains as generative models of organismic
interaction with the world, evincing intriguing similarities with current advances in generative …