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Spiking neural networks for autonomous driving: A review
The rapid progress of autonomous driving (AD) has triggered a surge in demand for safer
and more efficient autonomous vehicles, owing to the intricacy of modern urban …
and more efficient autonomous vehicles, owing to the intricacy of modern urban …
Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network
I Jeon, T Kim - Frontiers in Computational Neuroscience, 2023 - frontiersin.org
Although it may appear infeasible and impractical, building artificial intelligence (AI) using a
bottom-up approach based on the understanding of neuroscience is straightforward. The …
bottom-up approach based on the understanding of neuroscience is straightforward. The …
A survey and perspective on neuromorphic continual learning systems
With the advent of low-power neuromorphic computing systems, new possibilities have
emerged for deployment in various sectors, like healthcare and transport, that require …
emerged for deployment in various sectors, like healthcare and transport, that require …
Performance and energy simulation of spiking neuromorphic architectures for fast exploration
Recent work in neuromorphic computing has proposed a range of new architectures for
Spiking Neural Network (SNN)-based systems. However, neuromorphic design lacks a …
Spiking Neural Network (SNN)-based systems. However, neuromorphic design lacks a …
SANA-FE: Simulating Advanced Neuromorphic Architectures for Fast Exploration
Neuromorphic computing is concerned with designing computer architectures inspired by
the brain, with recent work focusing on platforms to efficiently execute large spiking neural …
the brain, with recent work focusing on platforms to efficiently execute large spiking neural …
SpiDR: A Reconfigurable Digital Compute-in-Memory Spiking Neural Network Accelerator for Event-based Perception
Spiking Neural Networks (SNNs), with their inherent recurrence, offer an efficient method for
processing the asynchronous temporal data generated by Dynamic Vision Sensors (DVS) …
processing the asynchronous temporal data generated by Dynamic Vision Sensors (DVS) …
Spiking neural networks for autonomous driving
S MartínezFernando - 2024 - dl.acm.org
The rapid progress of autonomous driving (AD) has triggered a surge in demand for safer
and more efficient autonomous vehicles, owing to the intricacy of modern urban …
and more efficient autonomous vehicles, owing to the intricacy of modern urban …