Jorrit Steven Montijn

The paper shows that subsecond neural fluctuations can generate noise invariance and inter-areal gating through population-level spiking dynamics.

The paper shows how visual cortex neurons adjust their responses to direct inputs and contextual signals through opposing plasticity mechanisms, enhancing improbable inputs or omissions.

The paper introduces a new family of statistical tests, ZETA-tests, designed to analyze neuronal spiking and autocorrelated time-series data with improved sensitivity and reduced false positives compared to traditional methods.

This study shows that chandelier cells in the visual cortex change their function and structure with experience, responding more to arousal-related events and showing plasticity in their connections.

The paper introduces a tool for aligning electrode tracks with histology and electrophysiological data across species, improving brain area assignment for neurons.

The paper shows that task complexity extends the time window in which V1 is necessary for perceptual decisions, overlapping with report-related activity and affecting behavioral performance.

ZETA is a parameter-free statistical test for neuronal responsiveness that includes more cells with fewer false positives compared to existing methods.

The paper develops a method to detect differential correlations in neural data and applies it to V1 recordings, finding that V1 contains information consistent with behavioral performance.