Benjamin Antin

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.

Rapid learning of neural circuitry from holographic ensemble stimulation enabled by model-based compressed sensing

The paper develops computational tools for rapid monosynaptic connectivity mapping in neural circuits using holographic stimulation and model-based compressed sensing.

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.

Removing direct photocurrent artifacts in optogenetic connectivity mapping data via constrained matrix factorization

The paper introduces PhoRC, a method to remove photocurrent artifacts in optogenetic connectivity mapping data using constrained matrix factorization, improving the accuracy of synaptic connection detection.