A biological-like controller using improved spiking neural networks

JP Fernández, MA Vargas, JMV García, JAC Carrillo… - Neurocomputing, 2021 - Elsevier
This paper is devoted to develo** a biological-based algorithm to simulate the control of a
human arm by means of a Spiking Neural Network (SNN) with a pre-set structure similar to …

Realistic spiking neural network: Non-synaptic mechanisms improve convergence in cell assembly

D Depannemaecker, LEC Santos, AM Rodrigues… - Neural Networks, 2020 - Elsevier
Learning in neural networks inspired by brain tissue has been studied for machine learning
applications. However, existing works primarily focused on the concept of synaptic weight …

Study of the Influence of Memristive Plasticity on the Formation of a Feature Space in the Excitatory Layer of a Spiking Neural Network

AA Lebedev, TA Levanova… - 2024 Sixth …, 2024 - ieeexplore.ieee.org
In this study, we present a novel image decoding model utilizing a spiking neural network
enhanced with memristive plasticity, tailored for recognition tasks. We introduce the average …

Multicoding in neural information transfer suggested by mathematical analysis of the frequency-dependent synaptic plasticity in vivo

K Hata, O Araki, O Yokoi, T Kusakabe, Y Yamamoto… - Scientific reports, 2020 - nature.com
Two elements of neural information processing have primarily been proposed: firing rate
and spike timing of neurons. In the case of synaptic plasticity, although spike-timing …

Detection of activation sequences in spiking-bursting neurons by means of the recognition of intraburst neural signatures

JL Carrillo-Medina, R Latorre - Scientific Reports, 2018 - nature.com
Bursting activity is present in many cells of different nervous systems playing important roles
in neural information processing. Multiple assemblies of bursting neurons act cooperatively …