Mariela D. Petkova

The paper uses connectomics to map a cerebellum-like circuit in weakly electric fish, revealing structured synaptic connectivity that supports predictive sensory processing and continual learning.

The paper introduces WHOLISTIC, a method to image cellular activity across all organs of a vertebrate, revealing body-wide circuits and responses to stimuli.

FishExplorer integrates multimodal brain data from larval zebrafish to enable circuit analysis and hypothesis generation.

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

The paper uses correlative light and electron microscopy to identify synaptic motifs in larval zebrafish that support visual motion processing.

The paper characterizes ionocyte subtypes in zebrafish olfactory epithelium, identifying three types with distinct functions and distributions.

This study investigates how zebrafish larvae distinguish self-generated reafferent mechanosensory signals from exafferent stimuli using lateral line hair cells and neural circuits.