H. Sebastian Seung

Stochastic Procrastination and Optimal Task Division

This paper models procrastination as a self-consistent policy under hyperbolic discounting and shows how task division and breaks can reduce delay.

Uncovering Sex Differences in the Drosophila Ventral Nerve Cord Through Connectome Alignment

The paper automatically aligns Drosophila connectomes to classify neurons and identify sex-specific and sexually dimorphic cell types in the ventral nerve cord.

Distributed control circuits across a brain-and-cord connectome

The paper presents the first densely reconstructed adult fruit fly connectome integrating the brain and ventral nerve cord, revealing distributed control circuits involving local and long-range neural connections.

Eyewire II - A connectomic resource for resolving cell types and circuits of the mouse retina

Eyewire II provides a large-scale EM dataset of the mouse retina, enabling cell type annotation and connectivity mapping through human-in-the-loop deep learning and functional alignment.

New Synapse Detection in the Whole-Brain Connectome of Drosophila

The paper improves synapse detection in Drosophila brain connectomes using new neural networks, achieving better performance in challenging regions and improved neuron clustering.

Connectomic reconstruction from hippocampal CA3 reveals spatially graded mossy fiber inputs and selective feedforward inhibition to pyramidal cells

The paper maps large-scale neuronal connections in mouse hippocampal CA3, revealing spatially graded mossy fiber inputs and a feedforward inhibitory circuit targeting specific pyramidal cells.

Sexually dimorphic neurons in the Drosophila whole-brain connectome

The paper identifies and analyzes sexually dimorphic neurons in the Drosophila brain using connectome data to understand their connectivity and functional roles in behavior.

CAVE: Connectome Annotation Versioning Engine

CAVE enables reproducible connectome analysis in large-scale datasets during ongoing annotation and proofreading.

NEURD offers automated proofreading and feature extraction for connectomics

NEURD automates proofreading and feature extraction from connectomics data to improve accuracy and accessibility of neural morphology analyses.

Functional connectomics spanning multiple areas of mouse visual cortex

The paper presents a functional connectomics dataset of mouse visual cortex, combining calcium imaging with EM reconstruction to study neural circuits and their connectivity.

Functional connectomics reveals general wiring rule in mouse visual cortex

Functionally similar neurons in mouse visual cortex connect preferentially across layers and areas, including feedback, and feature tuning, not receptive-field position, predicts synapses beyond axon-dendrite proximity.

An unsupervised map of excitatory neurons' dendritic morphology in the mouse visual cortex

The paper uses graph-based machine learning to analyze dendritic morphology of excitatory neurons in mouse visual cortex, finding a continuous morphological landscape rather than discrete types.

Multi-output computation by single neuron biophysics in a visual system

The paper simulates fly visual interneurons using a resistance matrix to show they function as multi-output devices, not simple point neurons or independent compartments.

Predicting modular functions and neural coding of behavior from a synaptic wiring diagram

The paper uses a larval zebrafish connectome to predict neural coding of behavior and shows statistical matches with calcium imaging data.

Neuronal wiring diagram of an adult brain

The paper presents the first neuronal wiring diagram of a whole adult Drosophila brain, revealing synaptic connections and circuit mechanisms underlying sensorimotor behaviors.

Neuronal "parts list" and wiring diagram for a visual system

The paper completes the list of cell types in the Drosophila optic lobe and identifies connectivity rules, revealing new families and clusters related to visual functions.

Fast imaging of millimeter-scale areas with beam deflection transmission electron microscopy

This paper improves TEM imaging speed by using beam deflection to capture multiple image tiles, increasing efficiency for millimeter-scale brain tissue imaging.

Tools for comprehensive reconstruction and analysis of a female Drosophila ventral nerve cord

The paper reconstructs and analyzes the female Drosophila ventral nerve cord connectome, identifying neural circuits that coordinate wings and legs during escape takeoff.

Comparative connectomics of the descending and ascending neurons of the Drosophila nervous system: stereotypy and sexual dimorphism

The paper provides a connectomic description of ascending and descending neurons in the Drosophila nervous system, revealing sexual dimorphism and motor-related circuits.

Neurotransmitter Classification from Electron Microscopy Images at Synaptic Sites in Drosophila Melanogaster

The paper uses artificial neural networks to classify neurotransmitters from electron microscopy images of Drosophila melanogaster synapses, achieving high accuracy and revealing ultrastructural differences.

Interneuron diversity and normalization specificity in a visual system

The paper uses connectomic data to show that fly visual system interneurons support diverse normalization operations with high specificity.

Petascale pipeline for precise alignment of images from serial section electron microscopy

The paper introduces a pipeline for aligning serial section electron microscopy images, improving accuracy and scalability for large datasets.

Insights into vision from interpretation of a neuronal wiring diagram

The paper interprets a neuronal wiring diagram of the Drosophila optic lobe to show how six cell types process oriented visual stimuli and may perceive illusory contours and corners.

The Synaptic Architecture of Layer 5 Thick Tufted Excitatory Neurons in the Visual Cortex of Mice

The paper investigates the synaptic connectivity of thick tufted layer 5 pyramidal neurons in the mouse visual cortex, revealing their local inhibitory and long-range excitatory connections.

Whole-brain annotation and multi-connectome cell typing quantifies circuit stereotypy in Drosophila

Annotating the 127,978-neuron FlyWire fly connectome yields 4,552 cell types, 3,094 cross-validated against the hemibrain; cell-type edges above 10 synapses or 1.1% of input recur over 90% across hemispheres.

Integrating EM and Patch-seq data: Synaptic connectivity and target specificity of predicted Sst transcriptomic types

The paper predicts MET-type identities from EM data and shows they have distinct connectivity patterns and synapse targets.

Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex

Electron microscopy of 1352 neurons in a mouse visual cortex column reveals widespread cell-type-specific inhibition, a basket-cell-targeting disinhibitory class, and interneuron motif groups sharing excitatory targets.

Binary and analog variation of synapses between cortical pyramidal neurons

The paper maps synaptic connectivity between cortical pyramidal neurons and shows synapse size is modeled by a combination of binary and analog variables.

In situ X-ray assisted electron microscopy staining for large biological samples

This paper introduces an in situ X-ray assisted staining method for electron microscopy, enabling real-time observation of staining kinetics and development of a diffusion-reaction-advection model for osmium accumulation in large biological samples.

Special Nuclear Layer Contacts Among Starburst Amacrine Cells in the Mouse Retina

The paper identifies novel nuclear layer contacts between starburst amacrine cells in the mouse retina through detailed morphological analysis of electron microscopic data.