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Elissa Welle

Affiliations: 
University of Michigan, Ann Arbor, Ann Arbor, MI 
Area:
Neural technology
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"Elissa Welle"
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Cynthia A. Chestek grad student 2016-2021 University of Michigan

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Patel PR, Welle EJ, Letner JG, et al. (2022) Utah array characterization and histological analysis of a multi-year implant in non-human primate motor and sensory cortices. Journal of Neural Engineering
Yan D, Jiman AA, Bottorff EC, et al. (2022) Ultraflexible and Stretchable Intrafascicular Peripheral Nerve Recording Device with Axon-Dimension, Cuff-Less Microneedle Electrode Array. Small (Weinheim An Der Bergstrasse, Germany). e2200311
Richie JM, Patel PR, Welle EJ, et al. (2021) Open-source Toolkit: Benchtop Carbon Fiber Microelectrode Array for Nerve Recording. Journal of Visualized Experiments : Jove
Della Valle E, Welle EJ, Chestek CA, et al. (2021) Compositional and morphological properties of platinum-iridium electrodeposited on carbon fiber microelectrodes. Journal of Neural Engineering
Willsey MS, Nu CS, Nason SR, et al. (2021) Neural Dynamics in Primate Cortex During Exposure to Subanesthetic Concentrations of Nitrous Oxide. Eneuro
Welle EJ, Woods JE, Jiman AA, et al. (2021) Sharpened and mechanically durable carbon fiber electrode arrays for neural recording. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society
Ravagli E, Mastitskaya S, Thompson N, et al. (2021) Fascicle Localisation Within Peripheral Nerves Through Evoked Activity Recordings: A Comparison Between Electrical Impedance Tomography and Multi-Electrode Arrays. Journal of Neuroscience Methods. 109140
Patel PR, Popov P, Caldwell CM, et al. (2020) High density carbon fiber arrays for chronic electrophysiology, fast scan cyclic voltammetry, and correlative anatomy. Journal of Neural Engineering. 17: 056029
Jiman AA, Ratze DC, Welle EJ, et al. (2020) Multi-channel intraneural vagus nerve recordings with a novel high-density carbon fiber microelectrode array. Scientific Reports. 10: 15501
Nason SR, Vaskov AK, Willsey MS, et al. (2020) A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain-machine interfaces. Nature Biomedical Engineering
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