Hernando Martínez Vergara

This study examines age-related changes in neural and behavioural variability during a decision-making task in mice, finding increased neural variability and reduced variability quenching in specific brain regions.

The paper introduces the Training Village, an open-source automated system for rodent cognitive training, validated across tasks and species, showing efficient usage and stable engagement.

The paper maps a whole-body single-cell transcriptome into an electron microscopy volume of an annelid worm to study cellular morphology and gene regulation.

The paper presents a brain-wide neural activity map from 621,733 neurons across 139 mice performing a decision-making task, showing how neural activity encodes task variables across brain regions.

This study identifies a movement-based dopamine signal in mice that acts as a value-free teaching signal for learning sound-action associations, working alongside reward prediction error.

The paper describes a modular data architecture for a neuroscience collaboration, enabling data contribution, access, and analysis across multiple labs.

MoBIE is a Fiji plugin that enables visualization, sharing, and management of large, multi-modal image data across platforms.

This paper develops a standardized task for measuring decision-making in mice, showing reproducible results across multiple laboratories and providing a public dataset and tools.