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Career

· Faculty in Department of Computer Science, University of Texas at Austin2002–
· Researcher in Neural Network Group, University of Texas at Austin

Publications (16)

Finding Chaos in Noisy Systems
1992
333
cited
An adaptive neuromorphic model of ocular dominance map using floating gate 'synapse'
Neural Networks · 2013
6
cited
Neural networks and MIMD-multiprocessors
1990
3
cited
Evolutionary Artiicial Neural Networks 1
1993
2
cited
2021 Special Issue on AI and Brain Science: AI-powered Brain Science A whole brain probabilistic generative model: Toward realizing cognitive architectures for developmental robots
2021 Special Issue on AI and Brain Science: Brain-inspired AI A brain-inspired computational model for spatio-temporal information processing
2021 Special Issue on AI and Brain Science: Brain-inspired AI Generalized attention-weighted reinforcement learning
2021 Special Issue on AI and Brain Science: Brain-inspired AI Hippocampal formation-inspired probabilistic generative model
Classification of Parkinson’s Disease Using MRI Data and Deep Classification of Parkinson’s Disease Using MRI Data and Deep Learning Convolution Neural Networks Learning Convolution Neural Networks
2019
FedADMM-InSa An inexact and self-adaptive ADMM for federated learning
Generalisation, decision making, and embodiment effects in Generalisation, decision making, and embodiment effects in mental rotation: A neurorobotic architecture tested with a mental rotation: A neurorobotic architecture tested with a humanoid robot humanoid robot
Mental Stress Recognition on the �y using Neuroplasticity Spiking Neural Networks
2022
Reconstructing 3D Charge Depositions in the MicroBooNE Liquid Argon Time Projection Chamber using Convolutional Neural Networks
2020
Retail sales forecasting using LSTM and ARIMA-LSTM: A comparison with traditional econometric models and Artificial Neural Networks
2020
ScholarWorks@UNO ScholarWorks@UNO
2020
University of Birmingham Branching time active inference
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