Lawrence Hugh Snyder, M.D., Ph.D.

Professor
Neuroscience

Neurosciences Program

  • 314-747-3530

  • 314-747-4095

  • 314-747-4370

  • 313 East McDonnell Research Building

  • larry@eye-hand.wustl.edu

  • http://www.eye-hand.wustl.edu

  • behavior, cognition, computational biology, eye-hand coordination, neurophysiology, systems neuroscience

  • Information processing in the cerebral cortex

Research Abstract:

My laboratory studies how the brain, and especially the cerebral cortex, combines sensory information with higher order cognition (rules, memory, etc) in order to drive motor commands. Much of our work is focused spatial processing for guiding eye and arm movements.

Parietal cortex provides an earlier link in the transformation of visual sensory information into motor commands. Patients with unilateral parietal damage may ignore objects in one half of the world. In severe cases, they may clothe only half of their body or eat from only half of their plate. Spatial memory is affected, and there are often motor deficits as well.

We record from individual neurons in the parietal cortex of macaque monkeys during complex tasks in order to understand the role of the cortex in the sensory-motor transformation. The animals are trained to look at and reach for colored spots of light — a monkey video game. We ask how the locations of these spots are represented by neural activity in the brain. What frame of reference is used? Is there a single, generic representation or multiple special purpose representations? How is spatial information from other sensory systems combined with visually-derived information? How is spatial information stored (memory)? How does the nature of the task, and what the animal intends to do, affect parietal processing? Is parietal cortex specifically involved in the learning of new sensory-motor mappings, or in coordinating eye and hand movement?

We perform our studies primarily in macaque monkeys, using single and multi-unit neuron recording, reversible inactivation of cortical areas, and MR-based tract tracing, functional MRI activation studies, and functional MRI connectivity studies.

Selected Publications:

Mitra A, Kraft A, Wright P, Acland B, Snyder AZ, Rosenthal Z, Czerniewski L, Bauer A, Snyder L, Culver J, Lee JM, Raichle ME. Spontaneous Infra-slow Brain Activity Has Unique Spatiotemporal Dynamics and Laminar Structure. Neuron. 2018 98(2):297-305.e6.

Mooshagian E, Wang C, Holmes CD, Snyder LH. Single Units in the Posterior Parietal Cortex Encode Patterns of Bimanual Coordination. Cereb Cortex. 2018 28(5):1549-1567.

Papadimitriou C, White RL 3rd, Snyder LH. Ghosts in the Machine II: Neural Correlates of Memory Interference from the Previous Trial. Cereb Cortex. 2017 27(4):2513-2527.

Patel GH, Yang D, Jamerson EC, Snyder LH, Corbetta M, Ferrera VP. Functional evolution of new and expanded attention networks in humans. Proc Natl Acad Sci U S A. 2015 112(30):9454-9.

Bentley WJ, Li JM, Snyder AZ, Raichle ME, Snyder LH. Oxygen Level and LFP in Task-Positive and Task-Negative Areas: Bridging BOLD fMRI and Electrophysiology. Cereb Cortex. 2016 26(1):346-57.

Liu Y, Yttri EA, Snyder LH. Intention and attention: different functional roles for LIPd and LIPv. Nat Neurosci. 2010 13(4):495-500.

Stoet G, Snyder LH. Neural correlates of executive control functions in the monkey. Trends Cogn Sci. 2009 13(5):228-34

Last Updated: 2/5/2014 9:31:34 AM

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