Behtash Babadi

Neurophysiological Functional Connectivity Changes during Difficult Listening in Older and Younger Adults

This study examines age-related changes in functional connectivity during difficult listening using MEG data and finds increased cortical recruitment in older adults.

A neuron-glia circuit anticipates hypoxia to regulate organismal oxygen use

The paper identifies a neuron-glia circuit in zebrafish that anticipates hypoxia by integrating behavioral intent and physiological state to prevent internal oxygen depletion.

Granger Sensori-Behavioral Taxonomy of Neuronal Ensemble Activity from Two-Photon Calcium Imaging Data

This paper introduces a framework to extract directional functional interactions between neurons, stimuli, and behavior from two-photon calcium imaging data, revealing distinct sensori-behavioral roles in the mouse auditory cortex.

Astrocyte-induced internal state transitions reshape brainwide sensory, integrative, and motor computations

The paper shows that astrocyte activity drives brainwide changes in sensory, integrative, and motor computations during a passive state in zebrafish.

Brain-body dynamics are asymmetric and stable across cognitive states

This study investigates brain-body dynamics across cognitive states and finds they are stable, with strong bottom-up feedback and narrative entrainment.

Interpretable dimensionality reduction and classification of mass spectrometry imaging data in a visceral pain model via non-negative matrix factorization

This paper applies non-negative matrix factorization to reduce and classify mass spectrometry imaging data in a visceral pain model, achieving high accuracy in distinguishing pain conditions.

Adaptive modeling and inference of higher-order coordination in neuronal assemblies: a dynamic greedy estimation approach

The paper introduces an adaptive greedy filtering algorithm to detect higher-order coordination in neuronal spiking activity and applies it to human and rat cortical data to reveal time-varying dynamics during brain state transitions.

Measuring stimulus-related redundant and synergistic functional connectivity with single cell resolution in auditory cortex

The paper measures redundant and synergistic functional connectivity in mouse auditory cortex during a perceptual task, finding that connected neuron pairs show more redundancy and less synergy than unconnected pairs.

NLGC: Network Localized Granger Causality with Application to MEG Directional Functional Connectivity Analysis

NLGC improves directional connectivity analysis in MEG data by integrating source localization and Granger causality estimation, showing robustness to model mismatch and noise.

Sequential Transmission of Task-Relevant Information in Cortical Neuronal Networks

The paper investigates how neuronal networks in mouse auditory cortex encode behavioral choice during pure-tone discrimination tasks, finding that specialized neurons transmit task-relevant information sequentially.

Direct Extraction of Signal and Noise Correlations from Two-Photon Calcium Imaging of Ensemble Neuronal Activity

This work proposes a method to directly estimate signal and noise correlations from two-photon calcium imaging data without spike deconvolution, validated on simulated and mouse auditory cortex data.

Neuro-Current Response Functions: A Unified Approach to MEG Source Analysis under the Continuous Stimuli Paradigm

This paper introduces Neuro-Current Response Functions (NCRFs) to estimate cortical sources from MEG data during continuous speech processing, improving spatial resolution and dipole orientation recovery.

Real-Time Tracking of Selective Auditory Attention from M/EEG: A Bayesian Filtering Approach

This paper develops real-time algorithms to decode auditory attention from M/EEG data, achieving performance comparable to offline methods with improved adaptability and efficiency.

Multiplicative Updates for Optimization Problems with Dynamics

The paper develops multiplicative update rules for optimizing convex objectives with nonnegativity constraints and applies them to signal processing tasks using neuronal calcium imaging and electrophysiology data.