Understanding sensorimotor control through realistic neuro-biomechanical simulation

Active Cooperative Agreement Awarded Last action

Award ID
U01NS136507
Recipient
Awarding agency
Obligated
$4,370,594

Award facts

Assistance listing
93.279 Drug Use and Addiction Research Programs
Completion date 71% complete
Place of performance
Cambridge, MA 02138, USA

Award details come from USAspending.gov.

Description

As the agency reported it.

Abstract
The brain evolved to move the body, i.e., to implement sensorimotor control. Understanding the brain, then, is inextricably linked to understanding how IT coordinates the joints and muscles of the body to generate competent behavior in dynamic and unpredictable environments in the service of goals. A tantilizing consequence of this is that understanding sensorimotor control will shed light on overall brain organizational and computational principles, including, potentially, higher-level cognition, which evolved much more recently by adapting the circuits already in place to control movement. This promise has not yet been realized, however, because standard approaches to studying motor control seek to reduce complexity by, for example, isolating simple circuits, studying artificial tasks, or constraining movements. These approaches thus avoid the sine QUA non of motor control in biology: multiple interacting brain regions, multiple simultaneous goals, and multiple muscle coordinations, all in the presence of many sources of noise and sensory delays. Here, we propose to embrace this complexity rather than reduce IT and are enabled to do so through the use of 'virtual RAT' models that comprise deep neural network controllers designed to be analogous to biological brains and biomechanically accurate bodies that are instantiated in simulators with real physics. Using a high-throughput easy-to-use 'virtual neuroscience' platform that we are developing for our own use, and the use of the broader research community, we will train these models to imitate freely-behaving real animals such that they internalize the statistics of naturalistic behavior and then train them to solve goal-directed tasks. This novel 'deep neuroethology' approach has two crucial features: highly biologically realistic behavior and the full transparency of a model. We will then apply this approach to generate and test longstanding hypotheses about motor control and learning. For example, we will interrogate: (i) how the learning and execution of complex behavior are influenced by certain circuit motifs such as laterality, reciprocal inhibition between antagonistic muscle pairs, feedback architecture, sensor delays, cortical-subcortical interactions, and dopamine-mediated plasticity; (II) how feedforward outputs and feedback inputs - in the setting of noise and sensory delays - coordinate movement; (III) how animals learn to adapt their behaviors quickly such that they can generalize across novel environments and tasks; and (IV) what roles the distinct neural representations and circuit motifs found throughout the hierarchy of the motor system play in neural computation. The results of these studies will drive previously unachievable refinements to our theories of sensorimotor control and will thus spur new research directions in motor neuroscience and, potentially, in robotics and other fields. Finally, and perhaps most importantly, we will have demonstrated the power of virtual neuroscience, inspiring future similar research programs, potentially using virtual animals of many species, to probe the mysteries of neural computation.

Transactions

Action Obligated Date
Amendment $1,870,625
Amendment $345,269
Amendment $0
Amendment $0
Amendment $0
Amendment $1,077,350
Original award $1,077,350

Subawards

Subrecipient Amount Awarded
Neuromatch, Inc. The work to be performed by Neuromatch is described in detail in the overall project description. We will provide a diverse workforce of under-represented… $86,756
The Leland Stanford Junior University This is a multi-PI grant involving three computational and theoretical neuroscientists from Harvard, the University of Washington, and Stanford, as well as… $628,845
The Salk Institute For Biological Studies. San Diego. California Dr. Talmo Pereira will be primarily working on Aim 1 and will contribute to the work in the remaining aims of this project. He will be responsible for… $1,132,205
University Of Washington Work at UW, will focus on development of dynamical systems analyses and layered controllers for virtual rat models. Specifically, in collaboration with the rest… $645,993

Quick answers

Who received award U01NS136507?

U01NS136507 was awarded to President And Fellows Of Harvard College by National Institute of Neurological Disorders and Stroke (National Institutes of Health) on September 5, 2024.

How much is award U01NS136507 worth?

$4,370,594 has been obligated on U01NS136507.

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