Kamal Sen

Parvalbumin and somatostatin interneurons support distinct computations during auditory scene analysis

The paper investigates how parvalbumin and somatostatin interneurons contribute to auditory scene analysis by examining their distinct roles in spatial processing and target-masker discrimination.

Representations of spatial saliency in auditory cortex are selectively organized through temporal coordination

The paper shows that behaviorally relevant sound locations in mice organize auditory cortex activity through temporal coordination, not firing rate changes, during a reward-associated task.

Decoding Spatial Attention in the Cocktail Party Problem Using Wearable Whole-head High-Density fNIRS

This study decodes spatial attention in the cocktail party problem using fNIRS, showing that specific brain regions can accurately determine attended locations from single-trial data.

A brain-inspired algorithm enhances automatic speech recognitionperformance in multi-talker scenes

This paper introduces a brain-inspired algorithm that improves automatic speech recognition accuracy in multi-talker scenes by up to 54% in low target-to-masker ratio conditions.

Parvalbumin Neurons and Cortical Coding of Dynamic Stimuli: A Network Model

The paper presents a network model of cortical circuits that explains how parvalbumin neurons enhance neural discriminability of dynamic stimuli through distinct temporal coding mechanisms.

A brain-inspired algorithm improves cocktail party listening for individuals with hearing loss

A biologically inspired algorithm improves speech intelligibility in noisy environments for people with hearing loss, outperforming standard beamforming approaches.

Overexpression of the schizophrenia risk gene C4 in PV cells drives sex-dependent behavioral deficits and circuit dysfunction.

This study shows that overexpressing the schizophrenia risk gene C4 in PV cells causes sex-dependent behavioral and circuit dysfunction in mice.

fNIRS Dataset During Complex Scene Analysis

This paper provides an open-access fNIRS dataset for decoding audio-visual spatial attention during complex scene analysis, enabling machine learning algorithm development and comparison.

A Robust, Compact and Diverse Population Code for Competing Sounds in Auditory Cortex

The paper investigates how auditory cortex populations code competing sounds using information theory, finding that a diverse labeled line code outperforms summed population codes and achieves near-noiseless information transmission.

Parvalbumin neurons, temporal coding, and cortical noise in complex scene analysis

The paper investigates the role of parvalbumin neurons in cortical temporal coding during complex scene analysis, finding that their suppression degrades dynamic sound discrimination in a cocktail party-like setting.

A biologically orientated algorithm for spatial sound segregation

This paper introduces a biologically inspired algorithm for spatial sound segregation that mimics auditory processing and achieves performance comparable to multi-microphone systems without requiring training data.

AIM: A Network Model of Attention in Auditory Cortex

The paper introduces a network model of attention in auditory cortex that explains suppressive attentional effects and their role in solving the cocktail party problem.

Oscillatory activity in alpha/beta frequencies coordinates auditory and prefrontal cortices during extinction learning

The paper shows that increased alpha/beta oscillations and coherence between auditory and prefrontal cortices during extinction learning correlate with improved behavioral performance in mice.

Muscarinic receptors regulate auditory and prefrontal cortical communication during auditory processing

This study shows that muscarinic receptors in the auditory cortex regulate communication with the prefrontal cortex during passive auditory processing, influencing cortical gating and connectivity.