Antonin Blot

The paper introduces BakingTray, an open-source software platform for block-face serial two-photon tomography, demonstrating its utility in neuroscience applications.

The paper introduces BRISC, a method to map neural circuits in the mouse brain using barcoded rabies viruses, identifying synaptic connections in the primary visual cortex.

The paper introduces a compact photodetector for synchronizing visual stimuli in neuroscience experiments, designed to work with common hardware and software tools.

The paper investigates whether depth maps are generated by the mouse primary visual cortex using motion parallax, finding depth-selective neuronal responses across retinotopic locations.

The paper shows that learning realigns cortical network dynamics to better integrate relevant sensory input in mice, explained by changes in excitatory-inhibitory connectivity.

The paper introduces a database and deep learning tool for spike inference from calcium imaging data, outperforming existing methods with an automated, parameter-free algorithm.

The paper shows that transthalamic pathways in mice carry distinct visual information to higher cortical areas compared to direct intracortical projections.

This study shows that cerebellar output neurons exhibit preparatory activity similar to motor neocortex, and silencing them suppresses neocortical preparatory signals.

This paper proposes a computational framework for cerebellar learning using perturbations and validates it with in vitro experiments, contradicting the current consensus on synaptic plasticity.

The paper reanalyzes Korn and Axelrad's 1980 study on cerebellar pinceau function, showing their results are likely due to experimental artifacts rather than ephaptic inhibition.