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people

Forrest Collman

Associate Director, Data and Technology

teams /
Allenite

Forrest Collman is an Associate Director of Informatics at the Allen Institute for Brain Science within the technology department. He received his undergraduate training in physics and computer science from Princeton University, where he did his senior thesis with John Hopfield on computational models of olfaction using synchrony. He then did a Ph.D., also at Princeton, but within the Molecular Biology department where he worked with David Tank, helping developing methods for two-photon microscopy in awake behaving mice, as well as the design and construction of a virtual reality behavioral environment for head-fixed mice. Before joining the Allen Institute, he worked with Stephen Smith, first as a postdoc at Stanford University and later as a Scientist at the Allen, where he worked on the development of conjugate IF/SEM array tomography and its application to neural plasticity.

Presently he is the co-lead (along with Nuno da Costa and Clay Reid) of the electron microscopy connectomics project at the Allen, where he helps manage the computational tools and infrastructure to support processing the petascale data collected by the team. His work has led to the development of the Connectome Annotation Versioning Engine, in collaboration with Sebastian Seung’s lab at Princeton, which supports the dynamic proofreading, annotation and analysis of large scale electron microscopy projects, including the MICrONs dataset, FlyWire, H01, FANC and BANC. As an Associate Director of Informatics he is also focused on helping develop a next generation of data products about connectivity in the brain that make the data accessible and useful for experimental and computational neuroscientists alike.

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news
Scientists complete largest wiring diagram and functional map of the brain to date
The MICrONS Project is considered the most complicated neuroscience experiment ever attempted
video
Revealing the largest wiring diagram and functional map of the brain through MICrONS
Scientists have created the largest wiring diagram and functional map of an animal brain
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Attempting the impossible: A 20-year journey to learn the language of the brain
In what is considered the most complicated neuroscience experiment ever attempted, scientists from the Allen Institute and global collaborators have...

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featured publications

publication / 2025
The synaptic architecture of layer 5 thick tufted excitatory neurons in mouse visual cortex
Nature Neuroscience
publication / 2025
A suite of enhancer AAVs and transgenic mouse lines for genetic access to cortical cell types
Cell
publication / 2025
Enhancer AAV toolbox for accessing and perturbing striatal cell types and circuits
Neuron
publication / 2025
An unsupervised map of excitatory neuron dendritic morphology in the mouse visual cortex
Nature Communications
publication / 2025
CAVE: Connectome Annotation Versioning Engine
Nature Methods
publication / 2025
NEURD offers automated proofreading and feature extraction for connectomics
Nature
publication / 2025
Inhibitory specificity from a connectomic census of mouse visual cortex
Nature
publication / 2025
Integrating multimodal data to understand cortical circuit architecture and function
Nature Neuroscience
publication / 2025
Functional connectomics reveals general wiring rule in mouse visual cortex
Nature
publication / 2025
Perisomatic ultrastructure efficiently classifies cells in mouse cortex
Nature
publication / 2025
Foundation model of neural activity predicts response to new stimulus types
Nature
publication / 2024
Neuronal wiring diagram of an adult brain
Nature
publication / 2024
Ultrastructural differences impact cilia shape and external exposure across cell classes in the visual cortex
Current biology: CB
publication / 2023
Postsynaptic cell type and synaptic distance do not determine efficiency of monosynaptic rabies virus spread measured at synaptic resolution
eLife
publication / 2023
Multi-layered maps of neuropil with segmentation-guided contrastive learning
Nature Methods
publication / 2023
Developing a Toolbox of Antibodies Validated for Array Tomography-Based Imaging of Brain Synapses
eNeuro
publication / 2022
Oligodendrocyte precursor cells ingest axons in the mouse neocortex
Proceedings of the National Academy of Sciences of the United States of America
publication / 2022
Binary and analog variation of synapses between cortical pyramidal neurons
eLife
publication / 2022
A scalable and modular automated pipeline for stitching of large electron microscopy datasets
eLife
publication / 2022
Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity
Cell
publication / 2022
FlyWire: online community for whole-brain connectomics
Nature Methods
publication / 2021
Structure and function of axo-axonic inhibition
eLife
publication / 2020
Common cell type nomenclature for the mammalian brain
eLife
publication / 2019
Single-cell transcriptomic evidence for dense intracortical neuropeptide networks
eLife
publication / 2018
Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy
Nature Methods
preprint / 2017
Three dimensional cross-modal image inference: label-free methods for subcellular structure prediction
publication / 2017
Probabilistic fluorescence-based synapse detection
PLoS computational biology
publication / 2015
Canonical genetic signatures of the adult human brain
Nature Neuroscience
publication / 2015
Mapping synapses by conjugate light-electron array tomography
The Journal of Neuroscience: The Official Journal of the Society for Neuroscience
publication / 2015
Knowing a synapse when you see one
Frontiers in Neuroanatomy
publication / 2014
Synaptic molecular imaging in spared and deprived columns of mouse barrel cortex with array tomography
Scientific Data
publication / 2009
Intracellular dynamics of hippocampal place cells during virtual navigation
Nature
publication
Connectomics of predicted Sst transcriptomic types in mouse visual cortex
Nature
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