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Sailboat navigation control system based on spiking neural networks
(Sistemas Embebidos e Inteligencia Computacional (SISTEMIC)Medellín - Colombia, 2023)
A Learning Function for Parameter Reduction in Spiking Neural Networks with Radial Basis Function
(Springer-verlag Berlin, 2008-01-01)
Spiking neural networks - networks that encode information in the timing of spikes - are arising as a new approach in the artificial neural networks paradigm, emergent from cognitive science. One of these new models is the ...
A Learning Function for Parameter Reduction in Spiking Neural Networks with Radial Basis Function
(Springer-verlag Berlin, 2008-01-01)
Spiking neural networks - networks that encode information in the timing of spikes - are arising as a new approach in the artificial neural networks paradigm, emergent from cognitive science. One of these new models is the ...
Implementation of a SNN model on an SBC-GPU and on a workstation in order to compare their efficiency
(Sistemas Embebidos e Inteligencia Computacional (SISTEMIC)Medellín, Colombia, 2023)
Detection of COVID-19 from CT scan images: a spiking neural networkbased approach
(Springer, 2021)
The outbreak of a global pandemic called coronavirus has created unprecedented circumstances resulting into a large
number of deaths and risk of community spreading throughout the world. Desperate times have called for ...
Perceptron-like computation based on biologically-inspired neurons with heterosynaptic mechanisms
(Springer, 2014-10)
Perceptrons are one of the fundamental paradigms in artificial neural networks and a key processing scheme in supervised classification tasks. However, the algorithm they provide is given in terms of unrealistically simple ...
Hardware implementation of spiking neural networks for embedded systems applications
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-06-11)
Currently, conventional computer architectures have reached physical limitations that compromise the exponential increase of processing speed, as stated in Moore’s Law. Consequently, other areas have been explored to handle ...
Energetics, dynamics and structure of spiking neural networks under metabolic constraints
(Universidad de Chile, 2023)
Every biological tissue or physical system is subject to physical restrictions that limit its functioning. Specifically in neural networks, energy constraints determine physically feasible states in which they can evolve. ...