Eftychios A. Pnevmatikakis

VolPy provides an automated, scalable pipeline for analyzing voltage imaging datasets, demonstrating strong performance in neuron localization and spike extraction.

improv enables real-time adaptive neuroscience experiments by integrating modeling, data collection, and analysis across organisms and data types.

This paper introduces two online algorithms for real-time analysis of microendoscopic calcium imaging data, improving computational efficiency and enabling closed-loop experiments.

The paper uses volumetric neural imaging to study auditory activity across the entire central brain of Drosophila, finding widespread and modality-general responses tuned to courtship song.

The paper shows excitatory and inhibitory neurons in mice are equally selective during decision-making and develop similar selectivity changes during learning.

CaImAn, an open-source library, automates motion correction, source extraction, deconvolution and cross-session registration for calcium imaging, detecting neurons near human level (F1 0.75 batch, 0.76 online).

The paper shows that hippocampal CA1 neurons form stable odor representations and dynamic time representations during an olfactory working memory task.

OnACID processes streaming calcium imaging data in real time by combining online dictionary learning with motion correction, source extraction, and activity deconvolution, tracking hundreds of neurons for closed-loop experiments.

NoRMCorre provides an efficient algorithm for non-rigid motion correction in calcium imaging data, achieving real-time performance on streaming data.