The Minnesota NeuroSpin Initiative is pleased to invite you to its third seminar for the Fall 2022/Spring 2023 season. On November 11, Frances Chance, PhD, Principal Member of the Technical Staff at Sandia National Laboratories will discuss her recent work related to:
Not all computer bugs are bad: How dragonflies could inspire next-generation neuromorphic systems
Animal behaviors surmount a range of challenges analogous to those faced by man-made systems. For example, dragonflies, known for both their speed and successful hunting, rely upon the ability of their nervous systems to perform fast, accurate, and efficient calculations for survival. The dragonfly brain is relatively small, suggesting that understanding the neural circuitry underlying prey-interception will be of particular relevance for fast, low-power computing.
During hunting, the same visual stimulus (the prey’s image on the dragonfly’s eye) requires different motor responses depending on how the dragonfly’s head is held relative to its body. The dragonfly’s nervous system must therefore combine visual and proprioceptive input to correctly calculate turns required for interception. I will present a model of the biological neural network that calculates turning required for interception and discuss how we are combining neuroscience experiments, modeling studies, and exploration of neuromorphic architectures to develop novel approaches for neural-inspired efficient computation.
Seminar Details
Seminar Host
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Prof. Jian-Ping Wang, University of Minnesota
Seminar Speaker
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Frances Chance, PhD, Principal Member of the Technical Staff at Sandia National Laboratories
Date and Time
- November 11, 2022
- 11:30am-12:30pm CT
Location
Virtual Via Zoom - Link will be provided upon registration
This is past event and Registration is closed.
Speaker Bio
As a computational neuroscientist, Frances Chance has always been fascinated by how neural circuits compute information. Her current research focuses on applying knowledge of how neural systems operate towards the development of novel neuro-inspired algorithms and brain-based architectures.
Frances Chance received her PhD and MS from Brandeis University and her BS from the California Institute of Technology. Currently she is a Principal Member of the Technical Staff at Sandia National Laboratories.