Samia Mohinta

The female larval fly CNS connectome: first draft

The paper releases a complete larval Drosophila CNS connectome with automated segmentations and highlights the need for improved machine vision for proofreading.

Hippocampus facilitates reinforcement learning under partial observability

This study uses deep reinforcement learning to show that hippocampal circuitry enables learning in partially observable environments, aligning with animal behavior and experimental data.

Beyond Agreement: Standardizing Crowdsourced Synapse Annotations through Proofreading in EM Connectomics

The paper introduces a standardized proofreading protocol for improving synapse annotations in EM connectomics by combining machine learning with multi-rater calibration and probabilistic modeling.

Mapping the nervous system of the Idiosepius hallami pygmy squid: insights from whole-animal X-ray nanotomography imaging.

The paper presents a high-resolution 3D X-ray nanotomography dataset of the pygmy squid Idiosepius hallami, mapping large-scale neural connectivity.