Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications

Sanaullah, S Koravuna, U Rückert… - Frontiers in …, 2023 - frontiersin.org
This article presents a comprehensive analysis of spiking neural networks (SNNs) and their
mathematical models for simulating the behavior of neurons through the generation of …

SNIB: improving spike-based machine learning using nonlinear information bottleneck

S Yang, B Chen - IEEE transactions on systems, man, and …, 2023 - ieeexplore.ieee.org
Spiking neural networks (SNNs) have garnered increased attention in the field of artificial
general intelligence (AGI) research due to their low power consumption, high computational …

Effective surrogate gradient learning with high-order information bottleneck for spike-based machine intelligence

S Yang, B Chen - IEEE transactions on neural networks and …, 2023 - ieeexplore.ieee.org
Brain-inspired computing technique presents a promising approach to prompt the rapid
development of artificial general intelligence (AGI). As one of the most critical aspects …

Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing

JE Pedersen, S Abreu, M Jobst, G Lenz, V Fra… - Nature …, 2024 - nature.com
Spiking neural networks and neuromorphic hardware platforms that simulate neuronal
dynamics are getting wide attention and are being applied to many relevant problems using …

Smart traffic navigation system for fault-tolerant edge computing of internet of vehicle in intelligent transportation gateway

S Yang, J Tan, T Lei… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
To investigate the diversified technologies in Internet of Vehicles (IoVs) under intelligent
edge computing, brain-inspired computing techniques are proposed in this study, which is a …

Sibols: robust and energy-efficient learning for spike-based machine intelligence in information bottleneck framework

S Yang, H Wang, B Chen - IEEE Transactions on cognitive and …, 2023 - ieeexplore.ieee.org
Spike-based machine intelligence has recently attracted increasing research attention and
has been considered as a promising approach toward artificial general intelligence (AGI). It …

Recent trends in crowd management using deep learning techniques: a systematic literature review

AM Alasmari, NS Farooqi, YA Alotaibi - Journal of Umm Al-Qura University …, 2024 - Springer
Crowd management has become an integral part of urban planning in abnormality in the
crowd and predict its future issues. Big data in social media is a rich source for researchers …

[HTML][HTML] Digital twins for secure thermal energy storage in building

Z Lv, C Cheng, H Lv - Applied Energy, 2023 - Elsevier
The purpose of this work is to explore the role of the safe and optimal scheduling of thermal
energy storage systems in intelligent buildings in promoting sustainable economic …

Electrical activity and synchronization of memristor synapse-coupled HR network based on energy method

Y Lu, H Li, C Li - Neurocomputing, 2023 - Elsevier
Electrical synapses and external stimuli can affect the exchange and propagation of field
energy between neurons, and thus induce a variety of dynamics and electricity activities of …

[HTML][HTML] Hierarchically stacked graph convolution for emotion recognition in conversation

B Wang, G Dong, Y Zhao, R Li, Q Cao, K Hu… - Knowledge-Based …, 2023 - Elsevier
Accurate emotion recognition can drive the robot to understand human affection intentions
precisely and deliver the emotional response when communicating with a person. Recently …