Stefan R. Pulver

This paper evaluates a citizen science program that uses macroinvertebrate monitoring to assess river health in Scotland, demonstrating its effectiveness in generating high-quality data and improving environmental monitoring.

This paper describes an undergraduate course integrating sustainability into neuroscience education, showing it raises awareness and enhances students' ability to promote positive change.

The paper uses HSMM to analyze Drosophila larval locomotor activity, showing how memory of recent states promotes motor program diversity through adaptive competition between CPG modules.

This study uses optogenetics and calcium imaging to show that tdc2+ neurons modulate motor program bias in Drosophila larvae by influencing fictive motor activity.

This study investigates how dopamine modulates motor programs in Drosophila larvae, showing it promotes forward locomotion and tunneling behavior through specific neural activity patterns.

WillCO2st provides a free tool for fast, publication-ready carbon emissions reporting using real-time energy-to-emissions data and integrates with Python scripts for sustainability audits.

This study evaluates Bayesian network scoring metrics and other methods for analyzing neural information flow in simulated single-neuron and population data, finding discrete dynamic Bayesian networks to be the most consistent.

This study investigates how octopamine and tyramine modulate competition between motor programs in Drosophila larvae, showing distinct effects on locomotion direction and motor program overlap.

The paper identifies cis-regulatory divergence in neural tissues of cricket species linked to mate recognition behavior, showing asymmetrical selection and gene flow effects.

This study analyzes the locomotion of Tribolium castaneum larvae, revealing a context-dependent gait and the role of pygopods in movement across different substrates.

This paper presents a framework for calculating the carbon footprint of PhD research, using a neuroscience Drosophila lab as a case study, and highlights key emission sources.

The paper develops a computational model of the Drosophila larval locomotor system to show how inhibitory circuit motifs generate motor program diversity and variability.

This study investigates how ascending interneurons in Drosophila larvae coordinate motor programs for navigation by modulating central pattern generators.

This study uses computational models of Drosophila neurons to show that Na/K pump dynamics influence neuronal excitability, spike rate adaptation, and long-term memory-like changes in response to stimuli.

This study identifies Canon neurons in Drosophila larvae that regulate coordinated muscular relaxation during backward locomotion through an intersegmental circuit.

The paper identifies mAChR-dependent rhythm generating modules in Drosophila larval CNS using Ca2+ imaging and electrophysiology, revealing a bimodal gradient of rhythmogenicity.

This study uses OLED arrays to deliver precise light stimuli to specific abdominal segments in Drosophila larvae, enabling controlled optogenetic activation and inhibition of sensory neurons to study crawling behavior.