Monty Escabi
Professor/Electrical and Computer Engr

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Scholarly Contributions

115 Scholarly Contributions

85
Poster/Presentations
27
Journal Articles
3
Other Scholarly Works
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

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

Decoding Sound Texture Identity via Statistics of Neuron Ensembles
2019
Mina Sadeghi, Heather L Read, Ian Stevenson, Xiu Zhai, Monty Escabi, Fatemeh Khatami
Research Type: Poster/Presentation

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

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

Encoding vocalizations in background sounds at the cocktail party and in the woods.
2019
Monty Escabi, Ian Stevenson, Delaina Pedrick, F He, Zhai Xiu
Research Type: Poster/Presentation

The contribution of stimulus driven and noise correlations for neural decoding and identification of texture sounds
2019
Mina Sadeghi, Ian Stevenson, Xiu Zhai, Monty Escabi, Heather L Read, Fatemeh Khatami
Research Type: Poster/Presentation

The contribution of stimulus-driven and noise correlation for neural decoding and identification of texture sounds
2019
Zhai Xiu, Ian Stevenson, Monty Escabi
Research Type: Poster/Presentation

Distinct midbrain response statistics are associated with sound recognition and discrimination during the construction of natural sound textures.
2020
Xiu Zhai, Mina Sadeghi, Heather L Read, Ian Stevenson, Monty Escabi, Fengrong He, Fatemeh Khatami
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

Spiking network optimized for word recognition in noise predicts auditory system hierarchy
2020
Fatemeh Khatami, Monty Escabi
Research Type: Journal Article

EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition
2020
Hosung Nam, Sahil Luthra, Heejo You, Kevin Brown, Jay G Rueckl, Monty Escabi, Monica Li, James S Magnuson, Rachel M Theodore, Nicholas Monto, Paul Allopenna
Research Type: Journal Article

CRCNS Dataset: Spiking auditory network model and spectro-temporal receptive fields from auditory nerve, midbrain, thalamus and cortex
2020
Monty Escabi, Fatemeh Khatami
Research Type: Other Scholarly Work

Layer specific neuronal information processing in core and belt auditory areas of non-human primate brain
2020
Jaejin Lee, Yale Cohen, Monty Escabi
Research Type: Poster/Presentation

The Role of Correlations and Rate Codes for Natural Sound Texture Recognition and Discrimination
2020
Xiu Zhai, Monty Escabi
Research Type: Poster/Presentation

Modulation content of interfering natural background sounds affects neural population synchrony and response power during vocalization processing
2021
Delaina Pedrick, Monty Escabi
Research Type: Poster/Presentation

The Role of Rate-Based and Correlation-Based Neural Activity Towards the Recognition and Discrimination of Natural Sound Textures
2021
Xiu Zhai, Monty Escabi
Research Type: Poster/Presentation

Categorical perception and auditory midbrain representations of chimeric sound textures
2021
Monty Escabi
Research Type: Poster/Presentation

Effects of High-order Statistics on Single Unit and Population Coding of Natural Sound Textures in the Auditory Midbrain
2021
Mina Sadeghi, Monty Escabi
Research Type: Poster/Presentation

Encoding the texture of sounds: auditory midbrain codes for recognizing and categorizing auditory textures and for listening in noise
2021
Monty Escabi
Research Type: Poster/Presentation