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Anthony S. Maida
Spiking Neural Networks (SNNs)
Brain Simulation
Computational Neuroscience
Energy-Efficient Artificial Intelligence
Explainable Artificial Intelligence
About
Dr. Anthony Maida is a Professor in the School of Computing and Informatics at the University of Louisiana at Lafayette and the Director of the Biological Intelligence Lab. A long-standing expert in the intersection of computer science and cognitive science, his research focuses on Neural Networks and Brain Simulation. Dr. Maida is particularly recognized for his work in Spiking Neural Networks (SNNs)—a more biologically realistic form of AI that mimics how neurons communicate via discrete electrical pulses (spikes). His research aims to "reverse engineer" the brain’s efficiency and learning capabilities, exploring how computational neuroscience can lead to more robust, energy-efficient, and explainable AI systems.
Research Performance Summary
1981-2025
Active Research Span
First Recorded Paper
THE REPRESENTATION AND RETRIEVAL OF COMPARATIVE PROPOSITIONAL INFORMATION IN HUMAN SEMANTIC MEMORY.
Year:
1981
Citations:
0
Venue:
N/A
Latest Recorded Paper
ChemBERTaDDI: Transformer Driven Molecular Structures and Clinical Data for predicting drug-drug interactions
Year:
2025
Citations:
0
Venue:
bioRxiv, 2025.01. 22.634309
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Maida
Tavanaei
Elsayed
Research Impact by Period
Papers
7
Citations
11
Avg. Citations / Paper
1.6
H-Index
2
Papers
33
Citations
580
Avg. Citations / Paper
17.6
H-Index
12
Papers
29
Citations
3581
Avg. Citations / Paper
123.5
H-Index
21
Papers
6
Citations
356
Avg. Citations / Paper
59.3
H-Index
3
Papers
19
Citations
111
Avg. Citations / Paper
5.8
H-Index
5
Papers
10
Citations
30
Avg. Citations / Paper
3
H-Index
3
Papers
4
Citations
28
Avg. Citations / Paper
7
H-Index
2
Papers
13
Citations
87
Avg. Citations / Paper
6.7
H-Index
6
Papers
15
Citations
91
Avg. Citations / Paper
6.1
H-Index
5
Papers
7
Citations
299
Avg. Citations / Paper
42.7
H-Index
4
Contact and Professional Links
Detected Research Keywords
Convolutional Neural Network
Spiking Neural Networks
Spiking Neural Network
Recurrent Neural Network
Recurrent Neural Networks
Next Frame Video
Frame Video Prediction
Diabetic Retinopathy Detection
Retinopathy Detection Transfer
Detection Transfer Learning