Amol Pasarkar

DENDRO: Recovery and denoising of whole-tree dendritic voltagefrom 2D voltage movies

DENDRO recovers and denoises 3D dendritic voltage from 2D voltage movies using a microscope model and a self-supervised neural network, achieving high accuracy on simulated and real data.

Dendritic excitations govern back-propagation via a spike-rate accelerometer

The paper investigates dendritic excitations in CA1 pyramidal neurons, showing how locally generated Na+ spikes drive history-dependent spike back-propagation and influence associative plasticity.

maskNMF: A denoise-sparsen-detect approach for extracting neural signals from dense imaging data

maskNMF improves demixing of dense calcium imaging data by denoising, sparsening, and using constrained non-negative matrix factorization to accurately recover neural activity.

EASE: EM-Assisted Source Extraction from calcium imaging data

The paper introduces EASE, a method that matches calcium imaging signals to EM-derived cell segments in mouse visual cortex, enabling dendritic functional analysis and denoising.