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 …
Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing
Spiking neural networks and neuromorphic hardware platforms that simulate neuronal
dynamics are getting wide attention and are being applied to many relevant problems using …
dynamics are getting wide attention and are being applied to many relevant problems using …
Brain-inspired computing: A systematic survey and future trends
Brain-inspired computing (BIC) is an emerging research field that aims to build fundamental
theories, models, hardware architectures, and application systems toward more general …
theories, models, hardware architectures, and application systems toward more general …
From Brain Models to Robotic Embodied Cognition: How Does Biological Plausibility Inform Neuromorphic Systems?
We examine the challenging “marriage” between computational efficiency and biological
plausibility—A crucial node in the domain of spiking neural networks at the intersection of …
plausibility—A crucial node in the domain of spiking neural networks at the intersection of …
Hippocampome. org 2.0 is a knowledge base enabling data-driven spiking neural network simulations of rodent hippocampal circuits
Hippocampome. org is a mature open-access knowledge base of the rodent hippocampal
formation focusing on neuron types and their properties. Previously, Hippocampome. org v1 …
formation focusing on neuron types and their properties. Previously, Hippocampome. org v1 …
EdgeMap: an optimized map** toolchain for spiking neural network in edge computing
J Xue, L ** and benchmarking of spiking neural network hardware
Spiking neural networks (SNNs) are bioplausible machine learning models that use discrete
spikes to encode, compute, and transmit information. Combined with event-driven low …
spikes to encode, compute, and transmit information. Combined with event-driven low …
[HTML][HTML] Real-time hardware emulation of neural cultures: A comparative study of in vitro, in silico and in duris silico models
Biological neural networks are well known for their capacity to process information with
extremely low power consumption. Fields such as Artificial Intelligence, with high …
extremely low power consumption. Fields such as Artificial Intelligence, with high …