Liberal Arts and Sciences
Keil Lab
Led by Andreas Keil · Psychology
What we study
The Keil Lab studies how the brain processes sensory information, focusing on perception, attention, and emotion. They use brain imaging and electrophysiology to understand how experiences and emotions shape brain activity.
What working here is like
- Clinical
- Computational
- Human participants
- Coding helps
- Projects
- 4
- Papers
- 5
Current projects
Attentional Blink Paradigm
Researching how distraction affects attention using a task where participants identify green words.
Phase synchrony of neural population activity
Examining brain activity patterns when viewing emotionally engaging pictures.
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Population-Level Tuning in Human Visual Cortex Reflects the Unlearning of Conditioned Fear
The lab studies how people’s visual cortex changes after learning to fear a specific visual pattern and then unlearning it. Students record brain waves while participants view oriented gratings, comparing responses after conditioning and after extinction.
From the Spring 2025 UF Undergraduate Research Symposium · abstract book, p. 219
Evaluating Individual Differences in Emotion Using Electrophysiology and Self-Reported Affect
Fifty-nine participants viewed 60 images from a standard emotional picture set and 60 AI-generated matching versions, shown twice (240 trials), while EEG and self-reports were recorded. Women reported stronger negative feelings than men, and smaller drops in alpha brain waves went with higher depression (BDI-II) scores.
From the Spring 2025 UF Undergraduate Research Symposium · abstract book, p. 183
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- 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.
- Salient affective scenes compete with concurrent visual responses in the absence of task demands
2026 · Cortex
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- Emotional responses to naturalistic and artificial intelligence (AI)-generated affective pictures: A systematic comparison.
2026 · Emotion
Compares how people react emotionally to real and AI-generated pictures.
- Associative Emotional Learning in Convolutional Neural Networks
2026 · Neural Computation
Tests whether a deep neural network can learn emotional responses to visual scenes like humans do.
- The contribution of the koniocellular visual pathway to aversive learning in human visual cortex
2026 · Journal of Neurophysiology
Checks if a specific brain pathway helps people learn to avoid threats.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Andreas Keil hasn't set up this page yet. Their UF Scholars profile lists their publications.