[HTML][HTML] Neuromodulated spike-timing-dependent plasticity, and theory of three-factor learning rules
N Frémaux, W Gerstner - Frontiers in neural circuits, 2016 - frontiersin.org
Classical Hebbian learning puts the emphasis on joint pre-and postsynaptic activity, but
neglects the potential role of neuromodulators. Since neuromodulators convey information …
neglects the potential role of neuromodulators. Since neuromodulators convey information …
[HTML][HTML] Brain-inspired computing with memristors: Challenges in devices, circuits, and systems
This article provides a review of current development and challenges in brain-inspired
computing with memristors. We review the mechanisms of various memristive devices that …
computing with memristors. We review the mechanisms of various memristive devices that …
Memristor-based neural network circuit of emotion congruent memory with mental fatigue and emotion inhibition
J Sun, J Han, Y Wang, P Liu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Most memristor-based neural networks only consider a single mode of memory or emotion,
but ignore the relationship between emotion and memory. In this paper, a memristor-based …
but ignore the relationship between emotion and memory. In this paper, a memristor-based …
An associative memory circuit based on physical memristors
M Guo, Y Zhu, R Liu, K Zhao, G Dou - Neurocomputing, 2022 - Elsevier
In this paper, a physical Sr 0.97 Ba 0.03 TiO 3-x (SBT) memristor with the voltage threshold
characteristic was prepared. For characterizing the electrical characteristics of SBT …
characteristic was prepared. For characterizing the electrical characteristics of SBT …
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 …
Hybrid multisynchronization of coupled multistable memristive neural networks with time delays
In this paper, we focus on synchronization issue of coupled multistable memristive neural
networks (CMMNNs) with time delay under multiple stable equilibrium states. First, we build …
networks (CMMNNs) with time delay under multiple stable equilibrium states. First, we build …
Implementing bionic associate memory based on spiking signal
M Guo, K Zhao, J Sun, S Wen, G Dou - Information Sciences, 2023 - Elsevier
Most of the associate memory circuits are at the simulation stage. If these designs are to be
realized in hardware, they pose substantial requirements in terms of experimental …
realized in hardware, they pose substantial requirements in terms of experimental …
A memristor-based associative memory neural network circuit with emotion effect
C Wang, C Xu, J Sun, Q Deng - Neural Computing and Applications, 2023 - Springer
Generally, people tend to learn or recall pleasant experiences during positive feelings.
Similarly, people tend to learn or recall unpleasant things during negative feelings. The …
Similarly, people tend to learn or recall unpleasant things during negative feelings. The …
Emotion model of associative memory possessing variable learning rates with time delay
L Yang, C Wang - Neurocomputing, 2021 - Elsevier
Lots of researchers have used memristors to realize the emotion model of associative
memory. In previous works, researchers analyzed this associative memory from two …
memory. In previous works, researchers analyzed this associative memory from two …
Lag projective synchronization of nonidentical fractional delayed memristive neural networks
In this paper, lag projective synchronization of nonidentical fractional delayed memristive
neural networks (NFDMNN) is investigated. Due to the existence of memristor, the analysis …
neural networks (NFDMNN) is investigated. Due to the existence of memristor, the analysis …