Monty Escabi
Affiliations: | University of Connecticut, Storrs, CT, United States |
Area:
Auditory system, Neuronal ModelingWebsite:
http://www.engr.uconn.edu/~escabiGoogle:
"Monty Escabi"Mean distance: 13.8 (cluster 17) | S | N | B | C | P |
Cross-listing: CSD Tree
Parents
Sign in to add mentor| Christoph E. Schreiner | grad student | 2000 | University of California, San Francisco with the University of California, Berkeley | |
| (Processing of dynamic ripple stimuli in the cat inferior colliculus: An ecological approach to sound processing.) | ||||
Children
Sign in to add trainee| Anqi Qiu | grad student | University of Connecticut | |
| Francisco Rodriguez | grad student | University of Connecticut | |
| Reza Nassiri | grad student | 2006 | University of Connecticut |
| Yi Zheng | grad student | 2010 | University of Connecticut |
| Chen Chen | grad student | 2012 | University of Connecticut |
Collaborators
Sign in to add collaborator| Yale E. Cohen | collaborator | University of Connecticut | |
| Shigeyuki Kuwada | collaborator | University of Connecticut | |
| Heather L. Read | collaborator | University of Connecticut |
BETA: Related publications
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Publications
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| He F, Stevenson IH, Escabí MA. (2023) Two stages of bandwidth scaling drives efficient neural coding of natural sounds. Plos Computational Biology. 19: e1010862 |
| Zhai X, Khatami F, Sadeghi M, et al. (2020) Distinct neural ensemble response statistics are associated with recognition and discrimination of natural sound textures. Proceedings of the National Academy of Sciences of the United States of America |
| Sadeghi Najafabadi M, Chen L, Dutta K, et al. (2020) Optimal Multichannel Artifact Prediction and Removal for Neural Stimulation and Brain Machine Interfaces. Frontiers in Neuroscience. 14: 709 |
| Khatami F, Escabí MA. (2020) Spiking network optimized for word recognition in noise predicts auditory system hierarchy. Plos Computational Biology. 16: e1007558 |
| Sadeghi M, Zhai X, Stevenson IH, et al. (2019) A neural ensemble correlation code for sound category identification. Plos Biology. 17: e3000449 |
| Chen C, Read HL, Escabí MA. (2019) A temporal integration mechanism enhances frequency selectivity of broadband inputs to inferior colliculus. Plos Biology. 17: e2005861 |
| Osman AF, Lee CM, Escabí MA, et al. (2018) "A hierarchy of time scales for discriminating and classifying the temporal shape of sound in three auditory cortical fields". The Journal of Neuroscience : the Official Journal of the Society For Neuroscience |
| Khatami F, Wöhr M, Read HL, et al. (2018) Origins of scale invariance in vocalization sequences and speech. Plos Computational Biology. 14: e1005996 |
| Zheng Y, Escabí M, Litovsky RY. (2017) Spectro-temporal cues enhance modulation sensitivity in cochlear implant users. Hearing Research |
| Lee CM, Osman AF, Volgushev M, et al. (2016) Neural spike-timing patterns vary with sound shape and periodicity in three auditory cortical fields. Journal of Neurophysiology. jn.00784.2015 |