Memristor-based affective associative memory neural network circuit with emotional gradual processes
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 …
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
Pavlov conditioning is a typical associative memory, which involves associative learning
between the gustatory and auditory cortex, known as Pavlov associative memory. Inspired …
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
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 …
brain, which leads to body actions and emotional responses. In this paper, a memristive …
Graph coloring via locally-active memristor oscillatory networks
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 …
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
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 …
memristive version of standard Cellular Nonlinear Networks. The insertion of a nonvolatile …
Deep reinforcement learning for event-triggered control
Event-triggered control (ETC) methods can achieve high-performance control with a
significantly lower number of samples compared to usual, time-triggered methods. These …
significantly lower number of samples compared to usual, time-triggered methods. These …
Coupled memristor oscillators for neuromorphic locomotion control: Modeling and analysis
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 …
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
The memristor represents the key circuit element for the development of the constitutive
blocks of future non-volatile memory architectures and neuromorphic systems. However …
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
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 …
inspired artificial neural network inducing the correction of a number of distinct actions …
A New Embodied Motor-Neuron Architecture
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 …
dynamics, responsible for the generation of the action potentials, is embedded into the …