Satyabrata Parida

A low-dimensional, generalizable encoding manifold for auditory cortex

The paper develops ACNet, a foundation model of auditory cortex sound encoding, showing it can predict neural activity across animals and reveal generalizable coding principles.

Convolutional neural network models describe the encoding subspace of local circuits in auditory cortex

The paper develops a linear-nonlinear subspace model that captures the encoding properties of convolutional neural networks in auditory cortex, showing they functionally match CNNs and reveal cell-type and layer-specific encoding differences.

Degraded neural coding of temporal fine structure with age predicts effortful listening in multi-talker environments

The paper shows that reduced neural encoding of temporal fine structure in middle age predicts increased listening effort in noisy environments despite normal hearing.

Rapid and objective assessment of auditory temporal processing using dynamic amplitude-modulated stimuli

This paper introduces a faster and more efficient method to measure envelope following responses (EFRs) using dynamic amplitude-modulated stimuli, achieving higher spectrotemporal resolution and reduced recording time across multiple species.

Estimation of cochlear frequency selectivity using a convolution model of forward-masked compound action potentials

This paper estimates cochlear frequency selectivity using a convolution model of forward-masked compound action potentials in chinchillas, showing close agreement with auditory nerve tuning curves.

Adaptive mechanisms facilitate robust performance in noise and in reverberation in an auditory categorization model

The paper investigates adaptive mechanisms in an auditory categorization model to improve performance in noisy and reverberant environments, showing that multiple adaptations are needed to match biological performance.

Vocalization categorization behavior explained by a feature-based auditory categorization model

This study shows a feature-based auditory categorization model matches guinea pig behavior in call categorization, especially under frequency shifts.

Enhanced envelope coding following acoustic trauma is detrimental to neural coding of speech in noise

The paper shows that acoustic trauma enhances noise envelopes more than speech envelopes, impairing speech understanding in noise.

Distorted tonotopy severely degrades neural representations of natural speech in noise following acoustic trauma

This study shows that distorted tonotopy, not reduced temporal precision or broader tuning, severely impairs neural representation of natural speech in noise after acoustic trauma.

Spectrally specific temporal analyses of spike-train responses to complex sounds: A unifying framework

This paper introduces a unifying framework for analyzing both spike-train and evoked neural responses to complex sounds using advanced spectral analyses, improving the understanding of perceptual deficits in hearing loss.