Marius Pachitariu

The paper analyzes the correlation structure of natural image coding in visual cortical populations of awake mice, finding a power-law decay in principal component variance that reflects coding smoothness.

The paper shows that spontaneous brain activity encodes multidimensional behavioral information across the forebrain, alongside sensory input in orthogonal dimensions.

The paper benchmarks spike rate inference algorithms for two-photon calcium imaging data and finds that top-performing algorithms show high correlation despite diverse approaches.

The paper examines how locomotion affects neuron interactions in mouse visual cortex, finding that it alters synaptic connectivity rather than just disinhibition.

Suite2p processes two-photon calcium movies faster than real time on desktop workstations, roughly doubling curated cell yield over CNMF and recovering 13,451 neurons in one session.

This study compares spike deconvolution methods for calcium imaging and finds that non-negative deconvolution (NND) is the most accurate and efficient approach.

The paper demonstrates how recurrent neural networks can generate motion-selective receptive fields through temporal dynamics and learned connectivity from natural stimuli.

This study develops a deterministic spiking network model to analyze multi-neuron recordings and shows that feedback inhibition controls noise correlations in cortical networks.