Monty Escabi
Professor/Electrical and Computer Engr

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Precise Feature Based Time Scales and Frequency Decorrelation Lead to a Sparse Auditory Code
2011
Monty Escabi, Heather L Read, Chen Chen
Research Type: Journal Article

Precise Feature Based Time Scales and Frequency Decorrelation Lead to a Sparse Auditory Code
2012
Monty Escabi, Chen Chen, Heather L Read
Research Type: Journal Article

Poster Blitz: Mid-level auditory computations predict human speech recognition in natural environmental noise.
2024
Ian Stevenson, Xiu Zhai, Alex Clonan, Monty Escabi
Research Type: Poster/Presentation

Peripheral and mid-level auditory filters enhance temporal representations of natural sounds
2019
Monty Escabi, Fengrong He
Research Type: Poster/Presentation

Origins of scale invariance in vocalization sequences and speech
Heather L Read, Fatemeh Khatami, Markus Whor, Monty Escabi
Research Type: Journal Article

Optimal Multichannel Artifact Prediction and Removal for Neural Stimulation and Brain Machine Interfaces
2020
Heather L Read, Monty Escabi, Bin Feng, mina sadeghi, longtu chen, ashley norris, Nicole Rosskothen-Kuhl, Jan Schnupp, kelsey dutta
Research Type: Journal Article

On the role of statistical regularities for sound recognition and coding
2019
Research Type: Poster/Presentation

Novel space alters theta and gamma synchrony across the longitudinal axis of the hippocampus
2013
Stephanie Penley, James J Chrobak, Monty Escabi, Etan J Markus
Research Type: Journal Article

Novel acoustic stimuli can alter locomotor speed-theta relationship across the septotemporal axis of the hippocampus. Society for Neuroscience Abstracts
2014
L L Long, Heather L Read, Ian Stevenson, Chi-ming Chen, James J Chrobak, Monty Escabi, A A Norris
Research Type: Poster/Presentation

Novel acoustic stimuli can alter locomotor speed to hippocampal theta relationship
2014
Chi-ming Chen, Monty Escabi, Ian Stevenson, J Hinman, Heather L Read, James J Chrobak, L Long
Research Type: Journal Article

https://onlinelibrary.wiley.com/doi/10.1002/hipo.22308
Nonstationary correlation statistics allow robust sound category identification
2016
Research Type: Poster/Presentation

Neuron-to-Neuron Correlation Statistics to Categorize Sounds in the Mammalian Auditory Midbrain
2017
Heather Read, Ian Stevenson, Monty Escabi, Fatemeh Khatami
Research Type: Poster/Presentation

Neural spike-timing patterns vary with sound shape and periodicity in three auditory cortical fields.
2016
Heather L Read, Maksim A Volgushev, Monty Escabi, Christopher M Lee, Ahmad F Osman
Research Type: Journal Article

Neural spike-timing patterns vary with sound shape and periodicity in three auditory cortical fields
2016
Ahmed Osman, Maksim A Volgushev, Chris Lee, Monty Escabi, Heather L Read
Research Type: Journal Article

Neural correlation codes for sound identification and categorization: The contribution of sound spectrum and envelope correlation structure.
2019
Monty Escabi, Ian Stevenson, Heather L Read, Delaina Pedrick, M Sadeghi, Zhai Xiu, Khatami Fetemeh, F He
Research Type: Poster/Presentation

Neural coding and discrimination of high-order sound statistics in the inferior colliculus
2016
Fatemeh Khatami, Monty Escabi, Ian Stevenson, Mina Sadeghi, Heather L Read
Research Type: Poster/Presentation

Neural codes and models four sound recognition in the presence of acoustic uncertainty
2017
Research Type: Poster/Presentation

Neural codes and models for sound recognition in the presence of acoustic uncertainty and noise
2019
Research Type: Poster/Presentation

Multi-site neural recordings in the auditory midbrain of unanesthetized rabbits listening natural sounds andsound correlation auditory models.
2019
Xiu Zhai, Monty Escabi, Ian Stevenson, Mina Sadeghi
Research Type: Other Scholarly Work

Multi-site neural recordings in the auditory midbrain of unanesthetized rabbits listening natural sounds and sound correlation auditory models. Contributed by Mina Sadeghi, Xiu Zhai, Ian H. Stevenson and Monty A. Escabi.
2019
mina sadeghi, Xiu Zhai, Ian Stevenson, Monty Escabi
Research Type: Other Scholarly Work