Prof. Matthew A Wilson

Sherman Fairchild Professor in Neurobiology
Professor of Biology and Brain and Cognitive Sciences
Investigator, Picower Institute for Learning and Memory

Primary DLC

Department of Brain and Cognitive Sciences

MIT Room: 46-5233

Areas of Interest and Expertise

Computational Neuroscience
Neural Networks
Olfactory Cortex
Hippocampal Learning and Memory
Neurobiology
Systems Neuroscience
Computation
Ensemble Recording in the Hippocampus of Behaving Rodents
Neuroscience
Formation of Memories
Information Representation

Research Summary

THe Wilson Laboratory studies the neural processes within the hippocampus and neocortex that enable memories to form and persist over long periods of time. We use a technique that allows us to simultaneously record the activity of hundreds of individual neurons across multiple brain regions in freely behaving animals. When combined with genetic, pharmacological, and behavioral manipulations, these recordings allow us to gain a mechanistic understanding of how animals learn and remember.

Currently, an important focus of our laboratory is the reactivation of sequential activity in neural ensembles during waking and sleep. Because many cells in the hippocampus represent specific locations, we can use their firing patterns to reconstruct movement trajectories that are being "replayed" during periods of rest. The function of such replay is not well understood, but it may play a role in memory consolidation, or even in action planning. We also study the interplay between the hippocampus and other brain regions, such as prefrontal cortex, cingulate cortex, thalamus, and the ventral tegmental area. Understanding how activity is coordinated between multiple areas is likely to be crucial for understanding how memories are stored and retrieved.

The members of our laboratory have always been committed to methodological innovations. Recent advancements include motorized microdrives for improving tetrode yield and stability, the ArtE system for real-time feedback during experiments, and new computational tools for the analysis of neural activity.

Taken together, these approaches contribute to the overall research objective: to understand the link between neural ensemble representations and cognitive capabilities.

Recent Work