
Ultra High Channel Count Neurophysiology
1024-channel data acquisition system
FPGA Hardware Architecture
UI & Data Visualization
ASIC Design
GUI Development
Willow
Overview
Many aspects of neuroscience are data-starved because of technological bottlenecks. LeafLabs is overcoming this challenge by eliminating these bottlenecks at every stage of the pipeline. Willow is the first product developed from the collaboration of LeafLabs and SNG: the 1024-channel data node is designed to be modular, one-tenth the cost per channel of existing systems, and scalable. The data node contains an FPGA that processes 1024 channels of electrophysiological data by communicating concurrently with as many as 32 industry-standard neural amplifier chips. The raw, wide-band data is written directly to a storage drive by the FPGA, while simultaneously being forwarded to a computer for real-time feedback and monitoring by the user.
Willow
The Challenge
Willow
The Solution
FPGA Hardware Architecture ASIC Design GUI Development Product Development Experimentation Data Visualization Vivarium Engagement
Willow
Performance Results
1024 channels from 32 amplifiers
Previously unusable data became usable.
Across top institutions
The Willow System has been involved in pilot studies with MIT, Brandeis, UCSF, Harvard, Columbia and Novartis.
Willow
Publications & Info
Murray Carpenter. "Glut of data from mice brains tests MIT’s computing power". Boston Globe. January 31, 2016.
Jörg Scholvin, et al. “Close-Packed Silicon Microelectrodes for Scalable Spatially Oversampled Neural Recording.” EEEI Xplore Digital Library, 24 February 2015.
Justin P. Kinney, et al. “A direct-to-drive neural data acquisition system.” Frontiers in Neural Circuits, 01 September 2015.
JP Kinney, J Bernstein, J Scholvin, C Moore-Kochlacs, N Kopell, E Boyden. In vivo experimental testing of scalable 3-d microfabricated electrode array neural recording in mammalian brain. Program No. 659.05. 2014 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience, 2014. Online.
C. Moore-Kochlacs, J Scholvin, JP Kinney, JG Bernstein, YG Yoon, SK Arfin, N Kopell, ES Boyden. Principles of high–fidelity, high–density 3–d neural recording. Program No. 873.03. 2013 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2013. Online.
C. Moore-Kochlacs, JP Kinney, JG Bernstein, SK Arfin, J Scholvin, N Kopell, ES Boyden. Spike sorting for spatially dense high channel count extracellular recordings. Program No. 208.19. 2012 Neuroscience Meeting Planner. New Orleans, LA: Society for Neuroscience, 2012. Online.
To learn more visit scalablephysiology.org maintained by the MIT Synthetic Neural Group.
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