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Closed-form control with spike coding networks
v1v2 (latest)

Closed-form control with spike coding networks

IEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2022
25 December 2022
F. S. Slijkhuis
Sander W. Keemink
Pablo Lanillos
ArXiv (abs)PDFHTML

Papers citing "Closed-form control with spike coding networks"

7 / 7 papers shown
Title
Spiking Neural Networks for Continuous Control via End-to-End Model-Based Learning
Spiking Neural Networks for Continuous Control via End-to-End Model-Based Learning
Justus F. Huebotter
Pablo Lanillos
Marcel van Gerven
Serge Thill
124
0
0
03 Sep 2025
Neuromorphic Digital-Twin-based Controller for Indoor Multi-UAV Systems Deployment
Neuromorphic Digital-Twin-based Controller for Indoor Multi-UAV Systems Deployment
Reza Ahmadvand
S. S. Sharif
Y. Banad
93
4
0
12 Feb 2025
Neuromorphic Robust Estimation of Nonlinear Dynamical Systems Applied to
  Satellite Rendezvous
Neuromorphic Robust Estimation of Nonlinear Dynamical Systems Applied to Satellite RendezvousAdvances in Space Research (Adv. Space Res.), 2024
Reza Ahmadvand
S. S. Sharif
Y. Banad
142
4
0
14 May 2024
A Cloud-Edge Framework for Energy-Efficient Event-Driven Control: An
  Integration of Online Supervised Learning, Spiking Neural Networks and Local
  Plasticity Rules
A Cloud-Edge Framework for Energy-Efficient Event-Driven Control: An Integration of Online Supervised Learning, Spiking Neural Networks and Local Plasticity Rules
Reza Ahmadvand
S. S. Sharif
Y. Banad
117
6
0
12 Apr 2024
Neuromorphic Robust Framework for Concurrent Estimation and Control in
  Dynamical Systems using Spiking Neural Networks
Neuromorphic Robust Framework for Concurrent Estimation and Control in Dynamical Systems using Spiking Neural Networks
Reza Ahmadvand
S. S. Sharif
Y. Banad
158
4
0
05 Oct 2023
Approximating nonlinear functions with latent boundaries in low-rank
  excitatory-inhibitory spiking networks
Approximating nonlinear functions with latent boundaries in low-rank excitatory-inhibitory spiking networksNeural Computation (Neural Comput.), 2023
William F. Podlaski
C. Machens
224
12
0
18 Jul 2023
Enhancing Energy Efficiency and Reliability in Autonomous Systems
  Estimation using Neuromorphic Approach
Enhancing Energy Efficiency and Reliability in Autonomous Systems Estimation using Neuromorphic Approach
Reza Ahmadvand
S. S. Sharif
Y. Banad
166
6
0
16 Jul 2023
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