Toward reflective spiking neural networks exploiting memristive devices
The design of modern convolutional artificial neural networks (ANNs) composed of formal
neurons copies the architecture of the visual cortex. Signals proceed through a hierarchy …
neurons copies the architecture of the visual cortex. Signals proceed through a hierarchy …
Overview of spiking neural network learning approaches and their computational complexities
Spiking neural networks (SNNs) are subjects of a topic that is gaining more and more
interest nowadays. They more closely resemble actual neural networks in the brain than …
interest nowadays. They more closely resemble actual neural networks in the brain than …
[HTML][HTML] An experimental comparison of evolved neural network models for controlling simulated modular soft robots
Voxel-based soft robots (VSRs) are a type of modular robots composed by interconnected
soft and deformable blocks, ie, voxels. Thanks to the softness of their bodies, VSRs may …
soft and deformable blocks, ie, voxels. Thanks to the softness of their bodies, VSRs may …
Astrocytes mediate analogous memory in a multi-layer neuron–astrocyte network
Modeling the neuronal processes underlying short-term working memory remains the focus
of many theoretical studies in neuroscience. In this paper, we propose a mathematical …
of many theoretical studies in neuroscience. In this paper, we propose a mathematical …
Neuromorphic computing for interactive robotics: a systematic review
Modelling functionalities of the brain in human-robot interaction contexts requires a real-time
understanding of how each part of a robot (motors, sensors, emotions, etc.) works and how …
understanding of how each part of a robot (motors, sensors, emotions, etc.) works and how …
Bursting dynamics of spiking neural network induced by active extracellular medium
SV Stasenko, VB Kazantsev - Mathematics, 2023 - mdpi.com
We propose a mathematical model of a spiking neural network (SNN) that interacts with an
active extracellular field formed by the brain extracellular matrix (ECM). The SNN exhibits …
active extracellular field formed by the brain extracellular matrix (ECM). The SNN exhibits …
Titanium oxide artificial synaptic device: Nanostructure modeling and synthesis, memristive cross-bar fabrication, and resistive switching investigation
VI Avilov, RV Tominov, ZE Vakulov, LG Zhavoronkov… - Nano Research, 2023 - Springer
The paper shows the results of the mathematical model development and the numerical
simulation of the oxygen vacancies, and the distribution of TiO, Ti2O3, and TiO2 oxides in …
simulation of the oxygen vacancies, and the distribution of TiO, Ti2O3, and TiO2 oxides in …
GP for continuous control: teacher or learner? The case of simulated modular soft robots
We consider the problem of optimizing a controller for agents whose observation and action
spaces are continuous, ie, where the controller is a multivariate real function f: R n→ R m …
spaces are continuous, ie, where the controller is a multivariate real function f: R n→ R m …
Bioinspired Spike‐Based Hippocampus and Posterior Parietal Cortex Models for Robot Navigation and Environment Pseudomapping
D Casanueva-Morato, A Ayuso-Martinez… - Advanced Intelligent …, 2023 - Wiley Online Library
The brain has great capacity for computation and efficient resolution of complex problems,
far surpassing modern computers. Neuromorphic engineering seeks to mimic the basic …
far surpassing modern computers. Neuromorphic engineering seeks to mimic the basic …
Topological features of spike trains in recurrent spiking neural networks that are trained to generate spatiotemporal patterns
In this study, we focus on training recurrent spiking neural networks to generate
spatiotemporal patterns in the form of closed two-dimensional trajectories. Spike trains in the …
spatiotemporal patterns in the form of closed two-dimensional trajectories. Spike trains in the …