Glenn C Turner

This paper introduces DataDIVER, an automated method for discovering computational models from data, which reveals novel insights into human and animal learning.

The paper develops two variants of a glutamate indicator with enhanced sensitivity and tailored deactivation rates for studying synaptic transmission in vivo.

This study evaluates RubyACRs as red-shifted optogenetic inhibitors in Drosophila, showing they effectively hyperpolarize neurons and induce circuit-specific behavioral changes.

This paper introduces two new far-red fluorescent GECIs, FR-GECO1a and FR-GECO1c, characterized for their Ca2+ sensitivity and performance in neuronal imaging.

The paper improves a GABA sensor, iGABASnFR2, with higher sensitivity and faster kinetics, enabling better in vivo imaging of GABAergic transmission.

LLM-driven evolutionary program synthesis (CogFunSearch) discovers interpretable Python cognitive models that predict bandit-task choices of humans, rats and fruit flies better than leading hand-designed models.

The paper introduces a new collection of over 800 split-GAL4 and split-LexA drivers for studying associative learning in Drosophila, covering 300 cell types and enabling functional analysis of neural circuits.

This study identifies synaptic plasticity mechanisms in Drosophila that incorporate reward expectations to drive operant matching behavior.

The paper introduces WHaloCaMP, a near-infrared calcium indicator, and demonstrates its use in imaging calcium responses in various organisms.

The paper shows that stochastic coding in odor representations improves discrimination in both flies and mice by leveraging variability in inhibitory circuits.

This study shows Drosophila can flexibly categorize stimuli based on available options, with memory specificity depending on stimulus order and identity.

The paper identifies a mutation that enhances the sensitivity of a fluorescent voltage indicator, improving its ability to detect both spiking and subthreshold voltage signals in multiple organisms.

The paper develops fast and sensitive GCaMP indicators for neural activity imaging, achieving ultra-fast kinetics and high sensitivity.

The paper modifies circuit parameters in Drosophila mushroom bodies to assess how changes affect odor selectivity and discrimination.

The paper shows that individual learning differences in isogenic fruit flies generalize across different stimulus modalities.

The paper describes engineering eFRET voltage indicators with positive-going fluorescence responses by modifying microbial rhodopsins.

This study compares SiPMs and GaAsP PMT for two-photon imaging, finding SiPMs match PMT signal-to-noise ratio at typical calcium imaging rates and outperform at higher rates.

The paper introduces a new genetically encoded voltage indicator, Voltron, which improves brightness and photostability for extended in vivo voltage imaging in mice, zebrafish, and fruit flies.