Elisa Catherine Pavarino

The paper identifies order-selective cells in the human brain that represent temporal order during memory encoding and retrieval, predicting memory accuracy.

The paper presents a connectomic dataset of a larval zebrafish brain, enabling circuit analysis through synaptic and neuronal annotations.

This study uses 3D reconstructions of mechanosensory end organs to propose a unified mechanism for Aβ RA-LTMR activation through axon protrusions and Piezo2 distribution.

mEMbrain provides an interactive MATLAB tool for connectomic segmentation, enabling user-friendly analysis of EM datasets with pre-trained networks and ground truth annotations.

The paper analyzes the connectome of the Octopus vulgaris vertical lobe, identifying novel synaptic structures and functional roles in memory acquisition.

The paper traces neuromuscular connectivity in mice across development, revealing that synaptic pruning follows a global activity-based ordering rule.