Memristor-based affective associative memory neural network circuit with emotional gradual processes

M Liao, C Wang, Y Sun, H Lin, C Xu - Neural Computing and Applications, 2022 - Springer
In the existing affective associative memory neural network circuits, the change of emotions
in the affective associative learning and forgetting processes is abrupt and the intensity of …

A multi-functional memristive Pavlov associative memory circuit based on neural mechanisms

Y Zhang, Z Zeng - IEEE Transactions on Biomedical Circuits …, 2021 - ieeexplore.ieee.org
Pavlov conditioning is a typical associative memory, which involves associative learning
between the gustatory and auditory cortex, known as Pavlov associative memory. Inspired …

Memristive circuit design of emotional generation and evolution based on skin-like sensory processor

Z Wang, Q Hong, X Wang - IEEE Transactions on Biomedical …, 2019 - ieeexplore.ieee.org
Sensory processor in human skin is used for processing and transmitting sensations to the
brain, which leads to body actions and emotional responses. In this paper, a memristive …

Graph coloring via locally-active memristor oscillatory networks

A Ascoli, M Weiher, M Herzig, S Slesazeck… - Journal of Low Power …, 2022 - mdpi.com
This manuscript provides a comprehensive tutorial on the operating principles of a bio-
inspired Cellular Nonlinear Network, leveraging the local activity of NbO x memristors to …

Theoretical foundations of memristor cellular nonlinear networks: Memcomputing with bistable-like memristors

R Tetzlaff, A Ascoli, I Messaris… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper presents the theory of a novel memcomputing paradigm based upon a
memristive version of standard Cellular Nonlinear Networks. The insertion of a nonvolatile …

Deep reinforcement learning for event-triggered control

D Baumann, JJ Zhu, G Martius… - 2018 IEEE Conference …, 2018 - ieeexplore.ieee.org
Event-triggered control (ETC) methods can achieve high-performance control with a
significantly lower number of samples compared to usual, time-triggered methods. These …

Coupled memristor oscillators for neuromorphic locomotion control: Modeling and analysis

A Bonagiri, D Biswas… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The recent surge of interest in brain-inspired architectures along with the development of
nonlinear dynamical electronic devices and circuits has enabled energy-efficient hardware …

Exploring the dynamics of real-world memristors on the basis of circuit theoretic model predictions

A Ascoli, R Tetzlaff, S Menzel - IEEE Circuits and Systems …, 2018 - ieeexplore.ieee.org
The memristor represents the key circuit element for the development of the constitutive
blocks of future non-volatile memory architectures and neuromorphic systems. However …

Memristor‐enhanced humanoid robot control system–Part I: Theory behind the novel memcomputing paradigm

A Ascoli, D Baumann, R Tetzlaff… - … Journal of Circuit …, 2018 - Wiley Online Library
Myon is a humanoid robot where each joint is controlled independently by a supervised bio‐
inspired artificial neural network inducing the correction of a number of distinct actions …

A New Embodied Motor-Neuron Architecture

P Arena, L Patanè, AG Spinosa - IEEE Transactions on Control …, 2021 - ieeexplore.ieee.org
This brief introduces a novel bioinspired motor neuron dynamical unit where the neural
dynamics, responsible for the generation of the action potentials, is embedded into the …