Connectome Interpreter: a toolkit for efficient connectome exploration and hypothesis generation
Yijie Yin, Mateo Espinosa Zarlenga, Alexander Mathiasen, Gregory Jefferis, Albert Cardona · COSYNE 2025
Recent large-scale community effort has produced comprehensive mapping of neurons and chemical synapses in both the Drosophila larva and adult brains (‘connectomes’). In addition, the neurotransmitter expression of each neuron can be predicted using a machine learning algorithm. However, interpreting connectomics data has proven challenging: most neurons connect to tens/hundreds of upstream/downstream neurons, and removing weak connections eliminates most connections in the brain. This could lead to biassed usage of connectomics data, favouring neurons previously studied, or those accessible w
ePoster · Neuroscience