Executing successful movements requires the brain to predict the consequences of actions. It is believed that the brain builds internal models of our body and the environment in order to simulate the sensory and motor outcomes of movements. 

Due to the constant changes in our body and environment (for instance, those due to fatigue,  tool-use, or disease) these models require constant re-calibration, called motor adaptation, to keep us moving in predictable ways.

Where in the brain these models reside, how they are formed, and how they are updated following bodily or environmental changes remains unclear. 

The goal of the laboratory is to reverse engineer the neural circuits that drive adaptive motor behavior. We hope that by understanding the neural basis of adaptive motor control we can open new avenues in therapeutic research for neurological disease and provide fundamental insights into brain function.  

Novel mouse paradigms for studying adaptive motor control

We believe behavior is an essential component to understanding neural function.

We have developed a set of skilled motor tasks where mice can learn from a dynamically changing sensory landscape. By combining concepts from optimal motor control with the power of the mouse's genetics and accessibility, our lab aims to uncover fundamental principles that guide motor adaptation, learning, and control.


We are using and building on the latest techniques in 2-photon and deep brain imaging (including utilizing multi-area imaging with a 2-photon mesoscope), to uncover the neural correlates of adaptive behavior. We use optogenetics and chemogenetics to test what roles diverse areas have during behavior. Furthermore, we develop computational models to generate testable hypotheses and analyze our data. Lastly, we aim to develop new robotics for the mouse community. Taken together, we aim to better understand how multiple areas interact to facilitate adaptive motor control.




Weygandt Mathis, Mackenzie_0048.JPG

Mackenzie Mathis, PhD
Principal Investigator | Rowland Fellow
Office Location: 3rd Floor, 308
Google Scholar

I received my BSc from the University of Oregon, then worked in the labs of Hynek Wichterle and Christopher Henderson at Columbia University to build in vitro models of ALS. I then attended Harvard University for my PhD, where I worked in the laboratory of Nao Uchida investigating the role of reward and sensory prediction errors in guiding motor learning. Before starting at the Rowland, I was a postdoctoral fellow in the group of Matthias Bethge (University of Tübingen).
In the News: RJF position, Peralta Prize, NSF Fellowship


Melody Tong
Undergraduate Researcher|Harvard College Class of '18

Melody is co-mentored by Mackenzie and Nao Uchida. Her thesis work is focused on quantitative behavioral metrics during a rapidly learned freely-moving reaching & pulling task in mice.

Alexander Mathis, PhD
Lab Mathematician |Marie-Curie Fellow
Office Location: 3rd Floor, 310
Publications & website

Alexander studied Mathematics at the Ludwig Maximilians University in Munich. For his dissertation he derived properties of grid cells from optimal coding principles. As a Marie-Curie Fellow, we works on trail tracking in mice with Venki Murthy (MCB, Harvard) and Matthias Bethge (University of Tübingen). He collaborates closely with us on computational models of motor adaptation and learning. He strives to understand how internal representations guide behavior and how internal models are implemented in the brain.

Coming in 2018: Postdoctoral Fellow & Visiting Masters Student

JOIN US! - More information here



Travis DeWolf, PhD
Collaborator | Applied Brain Research 
Publications & Blog

Travis collaborates on building neural models of adaptive control.


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Nicolas Renier, PhD
Collaborator|Group leader at Institut du Cerveau et de la Moelle épinière
Publicationslab website

Nicolas' lab specializes in developing and using ClearMap for whole-brain light sheet microscopy and analysis.

Es ist der Geist, der sich den Körper baut
(It is the mind itself which builds the body).
— Friedrich Schiller




September 1st, 2017 

The lab doors are open!

August 2017

Our very talented friend, Taiga Abe, who completed his Harvard College thesis (Analysis and modeling of movement kinematics in a mouse model of motor adaptation) with Mackenzie, Alexander, and Nao, started his PhD graduate studies at Columbia University today! Congratulations!

May 2017

We will be presenting new work at NCMDub this week! Stop by our poster cluster to learn more about our past and future work.

March 2017

L to R: Prof. Nao Uchida, Dr. Mackenzie Mathis, Prof. Venki Murthy

L to R: Prof. Nao Uchida, Dr. Mackenzie Mathis, Prof. Venki Murthy

Ph.D. successfully defended!

Here is a story from MCB Harvard about the new lab:



Feb 2017

First motor behavior paper accepted - stay tuned!

January 2017

Please consider joining! http://www2.rowland.harvard.edu/employment

come see our poster at COSYNE 2017
Somatosensory cortex plays an essential role in forelimb motor adaptation in mice
Mathis, M.W., Mathis, A., Uchida, N. (2017). Cosyne Abstracts 2017, Salt Lake City USA

It's official! The lab will open at the Rowland Sept 1st!

December 2016




We gratefully acknowledge the funding sources that make our reseasrch possible:

2017 - '22 | Rowland Fellowship to M. Mathis

2017 | WATB/Project ALS - Postdoctoral Fellowship to M. Mathis
2013 - '17 | NSF graduate research fellowship to M. Mathis


The Rowland Institute at Harvard
The Center for Brain Science, Harvard University