Theoretical models of episodic memory have proposed that retrieval depends on interactions
between the hippocampus and neocortex, where hippocampal reinstatement of item-…

In this perspective article, we show that a morphospace, based on information-theoretic
measures, can be a useful construct for comparing biological agents with artificial intelligence (AI…

Optimizing a combination of local cost functions on discrete variables is a central problem in
many formalisms such as in probabilistic networks, maximum satisfiability, weighted CSP or …

Animals successfully forage within new environments by learning, simulating and adapting
to their surroundings. The functions behind such goal-oriented behavior can be decomposed …

Humans display anticipatory motor responses to minimize the adverse effects of predictable
perturbations. A widely accepted explanation for this behaviour relies on the notion of an …

In the past decades, there has been a growing scientific interest in characterizing neural
correlates of meditation training. Nonetheless, the mechanisms underlying meditation remain …

We construct a complexity-based morphospace to study systems-level properties of
conscious & intelligent systems. The axes of this space label 3 complexity types: autonomous, …

In this paper, we argue that the future of Artificial Intelligence research resides in two keywords:
integration and embodiment. We support this claim by analyzing the recent advances in …

Rodents are optimal real-world foragers that regulate internal states maintaining a dynamic
stability with their surroundings. How these internal drive based behaviors are regulated …

Intelligence depends on the ability of the brain to acquire and apply rules and representations.
At the neuronal level these properties have been shown to critically depend on the …