Our Research

Research Foundation

Our work builds on 20+ years of research at the intersection of artificial intelligence and neuroscience shedding light on how human memory works, how we can fix it when it breaks down, and how we can augment it.

Featured Publication

Neurons detect cognitive boundaries to structure episodic memories in humans

Nature Neuroscience, 2022

This paper addresses a fundamental question in memory research: how does the brain determine where a memory begins and ends? Understanding this boundary is essential for modeling human memory using neural networks and for building AI systems capable of forming and recalling memories in a human-like way.

Nature Human Behaviour (under review), 2024

Integrative Turing Tests for LLMs.

New Turing-style tests reveal that AI trained on human memories can mimic human behavior in vision and language—but only some models truly pass as human.

Scientific Reports, 2022

Stochastic consolidation of lifelong memory

A computational model using random memory reactivations to construct lifelong memories. This work models long-term memory in humans.

Nature Scientific Reports, 2018

Minimal memory for details in real life events.

Our brains retain surprisingly few details—human memory stores abstract summaries, not full recordings. This work models what humans remember, and what they don't.

Nature Scientific Reports, 2016

Predicting episodic memory formation

Some moments are simply more memorable—this study predicts which movie scenes we'll recall even a year later.

50+
Publications on Memory
20,000+
Citations