Monty Escabi
Professor/Electrical and Computer Engr
Storrs Mansfield
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Scholarly Contributions
115 Scholarly Contributions
From neurons to machines: neural codes and models for sound recognition
2019
Research Type: Poster/Presentation
Neural correlation codes for sound identification and categorization: The contribution of sound spectrum and envelope correlation structure.
2019
Research Type: Poster/Presentation
Peripheral and mid-level auditory filters enhance temporal representations of natural sounds
2019
Research Type: Poster/Presentation
Decoding Sound Texture Identity via Statistics of Neuron Ensembles
2019
Research Type: Poster/Presentation
On the role of statistical regularities for sound recognition and coding
2019
Research Type: Poster/Presentation
Neural codes and models for sound recognition in the presence of acoustic uncertainty and noise
2019
Research Type: Poster/Presentation
Encoding vocalizations in background sounds at the cocktail party and in the woods.
2019
Research Type: Poster/Presentation
The contribution of stimulus driven and noise correlations for neural decoding and identification of texture sounds
2019
Research Type: Poster/Presentation
The contribution of stimulus-driven and noise correlation for neural decoding and identification of texture sounds
2019
Research Type: Poster/Presentation
A neural ensemble correlation code for sound category identification
2018
Research Type: Poster/Presentation
Decoding sound texture identity via statistics of auditory neuron ensembles
2018
Research Type: Poster/Presentation
Hierarchical spiking auditory network trained for speech recognition in noise predicts early auditory system organization
2018
Research Type: Poster/Presentation
Effective removal of electrical stimulus artifacts in multi-channel electrophysiological recordings
2018
Research Type: Poster/Presentation
Using nonstationary spectro-temporal correlation statistics for sound category identification
2018
Research Type: Poster/Presentation
Using acoustic and neural correlation statistics to categorize texture sounds in that auditory midbrain of unanesthetized rabbits.
2018
Research Type: Poster/Presentation
Neuron-to-Neuron Correlation Statistics to Categorize Sounds in the Mammalian Auditory Midbrain
2017
Research Type: Poster/Presentation
Dynamic Neuron-to-Neuron Correlation Statistics Can Contribute to Sound Category Identification
2017
Research Type: Poster/Presentation
Classifying sounds: why three auditory cortical fields are better than one!
2017
Research Type: Poster/Presentation