Herbert Wertheim College of Engineering
Ding Lab
Led by Mingzhou Ding · Biomedical Engineering
What we study
The Ding Lab studies how brain signals and networks relate to cognitive functions and disorders using methods like neuroimaging, signal analysis, and large-scale brain networks. They apply engineering approaches to understand neural oscillations, aging, and diseases like Parkinson's.
What working here is like
- Computational
- Coding helps
- Papers
- 5
Recent papers, explained
- The Ventral Attention Network Mediates Attentional Reorienting to Cross-Modal Expectancy Violations: Evidence from EEG and fMRI
2026 · Journal of Neuroscience
Tests whether the ventral attention network helps redirect attention to unexpected sensory events.
- Rhythmic sampling and competition of target and distractor representations in visual sensory memory
2026 · Cerebral Cortex
Shows rhythmic sampling of target and distractor brain signals after visual stimulation.
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- Concept2Brain: an AI model for predicting neurophysiological responses to text and pictures
2026 · Nature Communications
Builds an AI model to predict brain responses to text and images using deep learning.
- Emotional responses to naturalistic and artificial intelligence (AI)-generated affective pictures: A systematic comparison.
2026 · Emotion
Compares emotional reactions to real and AI-generated pictures in two studies.
- Associative Emotional Learning in Convolutional Neural Networks
2026 · Neural Computation
Builds a deep neural network to model how humans link visual scenes to emotional responses.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Mingzhou Ding hasn't set up this page yet. You can also look them up in the UF directory (search “Mingzhou Ding”).