Memory systems ought to store and discriminate representations of similar experiences in
order to efficiently guide future decisions. This problem is solved by pattern separation …

The hippocampus is involved in spatial navigation and memory in rodents and humans.
Anatomically, the hippocampus extends along a longitudinal axis that shows a combination …

The majority of ML research concerns slow, statistical learning of iid samples from large,
labelled datasets. Animals do not learn this way. An enviable characteristic of animal …

The aim of this paper is to present a computational model of the CA1 region of the
hippocampus, whose properties include (a) attenuation of receptors for external stimuli,(b) …

Rodents require a minimal time period to explore a context prior to footshock to display
plateau-level context fear at test. To investigate whether this rapid fear plateau reflects …

Established experimental procedures for one-shot machine learning do not test the ability to
learn or remember specific instances of classes, a key feature of animal intelligence …

Standard few-shot experiments involve learning to efficiently match unseen samples by
class. We claim that few-shot learning should be long term, assimilating knowledge for the …

We have created a high-fidelity model of 9 regions of the brain involved in making sense of
complex and uncertain situations. Sense making is a proactive form of situation awareness …

Sense-making is a temporally extended inference task involving multiple cycles of
information foraging, evaluation, and judgment. Recent advances in neural simulations of …

The context in which learning occurs is sufficient to reconsolidate stored memories and
neuronal reactivation may be crucial to memory consolidation during sleep. The …