Cognitive Science Speaker Series | Beyond Backpropagation of Errors: Predictive Coding and Biomimetic Intelligence
Speaker: Alexander Ororbia, Ph.D.
Title: Beyond Backpropagation of Errors: Predictive Coding and Biomimetic Intelligence
Short Bio: Alex Ororbia is an Assistant Professor in Computer Science and Cognitive Science, affiliate Professor in Psychology, and affiliate Professor in Mathematics at the Rochester Institute of Technology. He also serves as the director of the Neural Adaptive Computing Laboratory. His research group investigates questions related to neurobiological credit assignment and develops mathematical models for spiking neuronal dynamics and synaptic plasticity, predictive coding, and active inference with applications in neurorobotic control.
Abstract: Artificial intelligence (AI) is swiftly becoming one of the pivotal technologies of this century. Deep neural networks, trained by the backpropagation of errors algorithm, centrally drive many of AI’s impressive results. Nevertheless, the ubiquitous adoption of these kinds of models has highlighted some important limitations and practical shortcomings such as high energy inefficiency, lack of robustness, and biological implausibility. In addressing these issues, an interdisciplinary branch of AI research has emerged – biomimetic intelligence – which lies at the intersection of neuroscience, cognitive science, and machine learning, fostering the development of approaches motivated by neurocognitive theories. One such theory is known as predictive coding (PC), which has led to the development of a new class of computational neuronal models that have shown promising performance across various machine intelligence tasks.
ASL-English interpreters have been requested. Light refreshments will be provided.
Event Snapshot
When and Where
Who
Open to the Public
Interpreter Requested?
Yes