
Join the Allen Institute at the Society for Neuroscience Annual Meeting as our scientists and teams present their latest neuroscience research in talks, workshops, and posters. Visit us at Booth #503 to talk to our researchers, discover our open resources, and explore career opportunities.
This page will be updated with more information about where you can find our researchers and work at the conference in the coming weeks.
Discover how open datasets, platforms, and tools from the Allen Institute’s Neural Dynamics accelerator are revealing how neural circuits shape real-world behavior. Whether you work with neural data, study brain circuits and behavior, or are curious about new tools for exploring the brain, this workshop offers a chance to see these resources firsthand and learn how they can support your own research. Register by November 13th to attend.

Join over 20,000 global neuroscientists at Neuroscience 2026 in Washington, D.C. and check out the neuroscience 2026 event page for more information.
How can we understand the neural circuits that shape real-world behavior? Join the Allen Institute’s Neural Dynamics accelerator for a look at the open datasets, platforms, and tools being developed to help answer that question.
SAT22
Cell-type specific proteomics in mouse brain using enhancer-driven viral delivery and TurboID proximity labeling
Matthew Parnian / PSTR036.16
Technical Optimization of 3-Dimensional iPSC Derived Lumenoid Collection and Processing for Spatial Transcriptomics and Immunohistochemistry.
Augustin Ruiz / PSTR037.09
Interleaved whole-hemisphere macaque sectioning enables reproducible in-situ sequencing-based spatial transcriptomics and barcoded connectomics
Alana Oyama / PSTR037.12
Inferring causal gene regulatory programs in neurodegenerative disease via disentangled generative deep learning and heritability enrichment
Mike Cuoco / LBP002.08
An open-access viewer for exploring multiregional cellular and molecular changes in Alzheimer’s Disease
Jeremy Miller / LBP002.10
Early Parkinsonism Across Scales: From Dopaminergic Vulnerability to Altered Behavioral Dynamics
Akira Fushiki / LBP003.15
Exploration and dissemination of cell type resources with the Allen Institute
Rachel Hostetler / TKP05.13SU
A High-Resolution Spatial Transcriptomic Atlas of Embryonic Mouse Brain Development Using Takara Trekker and 10x FLEX
Jingyi Xie / PSTR082.20
Toward community annotation of a cross-species, spatial transcriptomic atlas of the thalamus
Meghan Turner / PSTR113.06
Genetic Tools Atlas (GTA)
Sharon Way, Bosiljka Tasic, Yoav Ben-Simon, Deepanjali Dwivedi, Emma Thomas, Sujatha Narayan
Accessing and using Allen 3D reference atlases
Ashwin Bhandiwad
Join us at the 2026 Society for Neuroscience BIA Toolmakers Showcase! The Showcase brings together BRAIN Initiative-funded toolmakers to share resources that can accelerate discovery, spark new ideas, and move neuroscience forward.
Jeremy Miller, Rachel Hostetler, Tyler Mollenkopf, Yoav Ben-Simon, Emma Thomas, Deepanjali Dwivedi, Sharon Way, Jada Roth, Yoh Isogai
Inhibitory neuron plasticity during brain-computer interface learning in motor cortex
Christina Wang / PSTR138.09
Education & Engagement
Rachel Penton
Genetic Tools Atlas (GTA)
Sharon Way, Bosiljka Tasic, Yoav Ben-Simon, Deepanjali Dwivedi, Emma Thomas, Sujatha Narayan
Connectomics: MICrONS and V1DD
Bethanny Danskin, Casey Schneider-Mizell, Chi Zhang, Forrest Collman, Nuno da Costa
Summer Workshop on the Dynamic Brain
Saskia de Vries, Emily Borsom, Su-Yee Lee
ABC Atlas & Brain Knowledge Platform (BKP)
Elysha Fiabane
OpenScope predictive processing community project: A community-designed dataset combining brain-wide single-cell recordings, dense local pan-neuronal calcium imaging, and single-cell dendritic imaging to compare predictive processing models across visual contexts
Jerome Lecoq / LBP039.07
Selective collateralization of transcriptomically distinct neurons organizes visual-stream output from the primary visual cortex
Xiaoyin Chen / LBP039.10
Unraveling Central Mechanisms of Classically Conditioned Immune-suppression
Adrien Stanley / PSTR175.13
SCALPEL: Enabling Platform-Independent, Multi-Age Analysis of Whole-Brain Spatial Transcriptomics Datasets
Lindsey Ching / PSTR204.01
Simulations of cortical circuits across the cortical hierarchy
Laura Green / PSTR208.05
Functional role of potassium channel dynamics in transcriptomically-defined neuronal types in mouse primary visual cortex.
Camila Vergara / PSTR213.15
Cell-type- and layer-specific mechanisms of visually induced oscillations in a bio-realistic mouse V1 model
Beatriz Herrera / PSTR230.01
Insights from a visual cortical column connectome
Bethanny Danskin / PSTR230.05
Ultrastructure-enriched morphology reveals shared and distinct neuronal properties across two millimeter-scale connectomic volumes of mouse visual cortex
Casey Schneider-Mizell / PSTR230.06
Synaptic architecture of pathway-specific thalamic inputs in mouse visual cortex
Rachael Swanstrom / PSTR230.07
Hypertargeting: connections of extraordinary strength onto interneurons of unusual character in the mouse visual cortex
Chi Zhang / PSTR230.08
Diversity of visual responses across transcriptomic cell types in the mouse primary visual cortex
Omid Zobeiri / PSTR230.12
Targeted enrichment of rare cell populations enables comprehensive transcriptomic mapping of the adult human and macaque cerebellum
Rebecca Hodge / PSTR232.17
Automated Cutting and Collection of Mouse Brain Hemisphere sections for Synapse-resolution Connectome imaging
Xiaoyu Lu / PSTR249.13
Multiscale imaging of molecular cell types for connectomics in mouse visual cortex
Kareena Villalobos / PSTR249.14
Connectome Annotation Versioning Engine: Modernizing community proofreading, annotation, and analysis of connectomics datasets
Forrest Collman / PSTR249.16
Tending a living atlas: capturing evidence for anatomical atlas changes
Ashwin Bhandiwad / PSTR251.03
PIANO: Atlas-Scale Integration and Generative Modeling of Single-Cell Multiomics for Cross-Species and Drug Perturbation Analyses
Ning Wang / PSTR251.05
Genetic Tools Atlas (GTA)
Sharon Way, Bosiljka Tasic, Yoav Ben-Simon, Deepanjali Dwivedi, Emma Thomas, Sujatha Narayan
Shanahan Fellowship and Studio D3 Fellowship
Emily Borsom, CiCi Zheng
SEA-AD Tools and Resources
Jeremy Miller, Irika Sinha
A Cross-Species Enhancer-AAV Toolkit for Cell Type-Specific Targeting Across the Basal Ganglia
Morgan Wirthlin / PSTR290.03
Whole-brain quantitative anatomical and transcriptomic characterization of enhancer AAVs for cell type-specific targeting
Deepanjali Dwivedi / PSTR290.04
Enhancer-based viral tools enable genetic access to neuromodulatory cell types
Yoh Isogai / PSTR290.05
From Transcriptomic Cell Types to Circuit Function: A Modular Platform of Driver Lines, Reporter Lines, and Enhancer AAVs.
Sujatha Narayan / PSTR290.06
Transcriptomic Characterization of Enhancer AAVs Across the Whole Mouse Brain
Emma Thomas / PSTR290.07
Transcription factor binding syntax underlying selective enhancer activity across cortical glutamatergic cell types
Jada Roth / PSTR290.08
A first-principles measurable definition of cell types, applied to cortical interneurons
CiCi Zheng / LBP072.01
Cross-Species Validation of Brain Cell-Type-Specific Enhancer AAVs in Non-Human Primates: A BRAIN Armamentarium Resource
Will Laird / LBP075.17
The mosaic libraries: Modular frameworks for optical measures of neural activity
Arielle Leon / LBP077.10
Genetic Tools Atlas (GTA)
Sharon Way, Bosiljka Tasic, Yoav Ben-Simon, Deepanjali Dwivedi, Emma Thomas, Sujatha Narayan
Modeling adaptive decision-making at scale
Han Hou / LBP081.11
Latent Decision Strategies in Dynamic Foraging Revealed by GLM-HMMs
Faeze Aminmansoor / LBP081.13
Mapping the brain-body interactome through sympathetic taxonomy and circuitry
Zack Lewis / PSTR368.17
Cell Type Diversity and Transcriptional Gradients Across the Human Medial Temporal Lobe
Aaron Garcia / PSTR349.01
Multiregional single-cell profiling reveals shared and specialized cellular vulnerability in Alzheimer's disease
Kyle Travaglini / PSTR349.02
AI surfaced units in the mouse brain that encode rule updates, task context, and reward vs error outcomes
Pavi Rajeswaran / PSTR383.10
