Monty Escabi

University of Connecticut, Storrs, CT, United States 
Auditory system, Neuronal Modeling
"Monty Escabi"
Mean distance: 13.8 (cluster 17)
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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
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
Jacobson TK, Schmidt B, Hinman JR, et al. (2015) Age-related decrease in theta and gamma coherence across dorsal ca1 pyramidale and radiatum layers. Hippocampus
Escabí MA, Read HL, Viventi J, et al. (2014) A high-density, high-channel count, multiplexed μECoG array for auditory-cortex recordings. Journal of Neurophysiology. 112: 1566-83
Long LL, Hinman JR, Chen CM, et al. (2014) Novel acoustic stimuli can alter locomotor speed to hippocampal theta relationship. Hippocampus. 24: 1053-8
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