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Profil bibliographique

Glenn Turner

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

101Publications signalées
7779Citations signalées
3Affiliations récentes

Les institutions déclarées

Les domaines associés

Neurobiology and Insect Physiology ResearchInsect and Arachnid Ecology and BehaviorAnimal Behavior and ReproductionOlfactory and Sensory Function StudiesInsect Utilization and Effects

Les publications récentes

Accès ouvert 2025 article OpenAlex

Glutamate indicators with increased sensitivity and tailored deactivation rates

Abhi Aggarwal, Adrian Negrean, Yang Chen, Rishyashring R. Iyer et autres

Understanding how neurons integrate signals from thousands of input synapses requires methods to monitor neurotransmission across many sites simultaneously. The fluorescent protein glutamate indicator iGluSnFR enables visualization of synaptic signaling, but the sensitivity, scale and speed of such measurements are limited by …

us, ca, de, gb, at, it (code pays fourni par la source)

11 citations Nature Methods
Accès ouvert 2025 preprint OpenAlex

iGABASnFR2: Improved genetically encoded protein sensors of GABA

Ilya Kolb, J. Hasseman, Akihiro Matsumoto, Benjamin Arthur et autres

Abstract Monitoring GABAergic inhibition in the nervous system has been enabled by development of an intensiometric molecular sensor that directly detects GABA. However, the first generation iGABASnFR exhibits low signal-to-noise and suboptimal kinetics, making in vivo experiments challenging. To improve sensor performance, …

us, jp, gb (code pays fourni par la source)

6 citations bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2025 preprint OpenAlex

Glutamate indicators with increased sensitivity and tailored deactivation rates

Abhi Aggarwal, Adrian Negrean, Yang Chen, Rishyashring R. Iyer et autres

Abstract Identifying the input-output operations of neurons requires measurements of synaptic transmission simultaneously at many of a neuron’s thousands of inputs in the intact brain. To facilitate this goal, we engineered and screened 3365 variants of the fluorescent protein glutamate indicator iGluSnFR3 …

us, ca, de, fr, gb, at, it (code pays fourni par la source)

3 citations bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2025 preprint OpenAlex

Discovering Symbolic Cognitive Models from Human and Animal Behavior

Pablo Samuel Castro, Nenad Tomašev, Ankit Anand, Rishika Mohanta et autres

Symbolic models play a key role in cognitive science, expressing computationally precise hypotheses about how the brain implements a cognitive process. Identifying an appropriate model typically requires a great deal of effort and ingenuity on the part of a human scientist. Here, …

us, gb, de (code pays fourni par la source)

14 citations bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2025 article OpenAlex

Driver lines for studying associative learning in Drosophila

Yichun Shuai, Megan Sammons, Gabriella R Sterne, Karen L Hibbard et autres

The mushroom body (MB) is the center for associative learning in insects. In Drosophila , intersectional split-GAL4 drivers and electron microscopy (EM) connectomes have laid the foundation for precise interrogation of the MB neural circuits. However, investigation of many cell types upstream …

us (code pays fourni par la source)

10 citations eLife
Accès ouvert 2025 peer-review OpenAlex

Author response: Driver lines for studying associative learning in Drosophila

Yichun Shuai, Megan Sammons, Gabriella R Sterne, Karen L Hibbard et autres

The mushroom body (MB) is the center for associative learning in insects. In Drosophila, intersectional split-GAL4 drivers and electron microscopy (EM) connectomes have laid the foundation for precise interrogation of the MB neural circuits. However, investigation of many cell types upstream and …

us (code pays fourni par la source)

0 citations
Accès ouvert 2025 preprint OpenAlex

Driver lines for studying associative learning in Drosophila

Yichun Shuai, Megan Sammons, Gabriella R Sterne, Karen L Hibbard et autres

The mushroom body (MB) is the center for associative learning in insects. In Drosophila, intersectional split-GAL4 drivers and electron microscopy (EM) connectomes have laid the foundation for precise interrogation of the MB neural circuits. However, investigation of many cell types upstream and …

us (code pays fourni par la source)

0 citations eLife
Accès ouvert 2024 peer-review OpenAlex

Author response: Driver lines for studying associative learning in Drosophila

Yichun Shuai, Megan Sammons, Gabriella R Sterne, Karen L Hibbard et autres

The mushroom body (MB) is the center for associative learning in insects. In Drosophila, intersectional split-GAL4 drivers and electron microscopy (EM) connectomes have laid the foundation for precise interrogation of the MB neural circuits. However, investigation of many cell types upstream and …

us (code pays fourni par la source)

0 citations
Accès ouvert 2024 preprint OpenAlex

Driver lines for studying associative learning in Drosophila

Yichun Shuai, Megan Sammons, Gabriella R Sterne, Karen L Hibbard et autres

Abstract The mushroom body (MB) is the center for associative learning in insects. In Drosophila, intersectional split-GAL4 drivers and electron microscopy (EM) connectomes have laid the foundation for precise interrogation of the MB neural circuits. However, investigation of many cell types upstream …

us, il (code pays fourni par la source)

1 citation eLife
Accès ouvert 2024 article OpenAlex

A modular chemigenetic calcium indicator for multiplexed in vivo functional imaging

Helen Farrants, Yichun Shuai, William C. Lemon, Christian Monroy Hernandez et autres

Abstract Genetically encoded fluorescent calcium indicators allow cellular-resolution recording of physiology. However, bright, genetically targetable indicators that can be multiplexed with existing tools in vivo are needed for simultaneous imaging of multiple signals. Here we describe WHaloCaMP, a modular chemigenetic calcium indicator …

us, de (code pays fourni par la source)

66 citations Nature Methods

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