Lightning Talk: Bridging Neuro-Dynamics and Cognition

Brain-inspired computing models have shown great potential to outperform today's deep learning solutions in terms of robustness and energy efficiency. Particularly, Spiking Neural Networks (SNNs) and HyperDimensional Computing (HDC) have shown promising results in enabling efficient and robust...

Full description

Saved in:
Bibliographic Details
Published in:2023 60th ACM/IEEE Design Automation Conference (DAC) pp. 1 - 2
Main Author: Imani, Mohsen
Format: Conference Proceeding
Language:English
Published: IEEE 09.07.2023
Subjects:
Brain modeling
Brain-inspired Computing
Computational modeling
Design automation
Hyperdimensional Computing
Lightning
MIMICs
Philosophical considerations
Psychology
Spiking Neural Network
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Brain-inspired computing models have shown great potential to outperform today's deep learning solutions in terms of robustness and energy efficiency. Particularly, Spiking Neural Networks (SNNs) and HyperDimensional Computing (HDC) have shown promising results in enabling efficient and robust cognitive learning. Despite the success, these two brain-inspired models have different strengths. While SNN mimics the physical properties of the human brain, HDC models the brain on a more abstract and functional level. Their design philosophies demonstrate complementary patterns that motivate their combination. With the help of the classical psychological model of memory, we aim to explore the difference between Spiking neural networks and hyperdimensional computing and how they can combine to develop a more advanced cognitive learning model.
DOI:10.1109/DAC56929.2023.10247931