Hippocampus does more than store memories: it predicts rewards, study finds
Brain imaging technology reveals a previously unseen learning process in the brain’s memory centre, with implications for Alzheimer’s disease
McGill University
image:
A representative image showing the field of view inside the hippocampus, where individual neurons can be
visually identified and tracked. Each highlighted shape corresponds to a single neuron.
Credit: The Brandon Lab
A preclinical study published in Nature has found evidence that the hippocampus, the brain region that stores memory, also reorganizes memories to anticipate future outcomes.
The findings, from researchers at the Brandon Lab at McGill University and their collaborators at Harvard University, reveal a learning process that had not been directly observed before.
“The hippocampus is often described as the brain’s internal model of the world,” said senior author Mark Brandon, Associate Professor in McGill’s Department of Psychiatry and Researcher at the Douglas Research Centre. “What we are seeing is that this model is not static; it is updated day by day as the brain learns from prediction errors. As outcomes become expected, hippocampal neurons start to respond earlier as they learn what will happen next.”
A new view of learning in action
The hippocampus builds maps of physical space and past experiences that help us make sense of the world. Scientists have known these maps change over time as brain activity patterns shift, a phenomenon that is currently assumed to be random.
The new findings demonstrate the changes are not random, but structured. Researchers obtained these findings by tracking brain activity in mice as the mice learned a task with a predictable reward.
“What we found was surprising,” said Brandon. “Neural activity that initially peaked at the reward gradually shifted to earlier moments, eventually appearing before mice reached the reward.”
Rather than relying on traditional electrodes, which can only track neurons for short periods, the researchers used new imaging techniques that cause active neurons to glow. The Brandon Lab is among the first in Canada to use this technology, enabling the team to follow cells over several weeks and track slow changes that traditional methods often miss.
Insights into learning and Alzheimer’s disease
Simpler forms of reward learning have long been associated with more primitive brain circuits, as famously demonstrated by Ivan Pavlov’s experiments, which showed that animals can associate a cue, such as a bell, with food. The new findings suggest the hippocampus supports a more sophisticated version of this process, using memory and context to anticipate outcomes.
Alzheimer’s disease patients often struggle not only to remember the past but also to learn from experience and make decisions. By showing that the healthy hippocampus helps turn memories into predictions, the study offers a new framework for understanding why learning and decision-making are affected early in Alzheimer’s disease and opens the door to research into how this predictive signal may fail and be restored.
About the study
“Predictive Coding of Reward in the Hippocampus” by Mohammad Yaghoubi and Mark Brandon et al., was published in Nature. This research was supported by funding from Fonds de recherche du Québec – Santé and the Canadian Institutes of Health Research.
About the Brandon Lab
The Brandon Lab was founded in 2015 at the Douglas Research Centre at McGill University by Professor Mark Brandon. The lab investigates the core mechanisms of memory, including how memories are encoded, stored, and retrieved in the brain. It also studies how memory breaks down in Alzheimer’s disease, with the goal of identifying strategies to protect and restore memory.
Journal
Nature
Method of Research
Experimental study
Subject of Research
Animals
Article Title
Predictive coding of reward in the hippocampus
Article Publication Date
14-Jan-2026
