Energy balance via memristor synapse in Morris-Lecar two-neuron network with FPGA implementation
Synapses can regulate the energy balance in the neural network. In this work, a two-neuron
network is established by coupling two Morris-Lecar neurons using a memristor synapse …
network is established by coupling two Morris-Lecar neurons using a memristor synapse …
Periodic and chaotic spiking behaviors in a simplified memristive Hodgkin-Huxley circuit
Abstract The famous Hodgkin-Huxley circuit contains two time-varying resistors to describe
the electrophysiological characteristics of sodium and potassium ion channels. But the time …
the electrophysiological characteristics of sodium and potassium ion channels. But the time …
Synchronization in simplicial complexes of memristive Rulkov neurons
Simplicial complexes are mathematical constructions that describe higher-order interactions
within the interconnecting elements of a network. Such higher-order interactions become …
within the interconnecting elements of a network. Such higher-order interactions become …
Memory-centric neuromorphic computing for unstructured data processing
SH Sung, TJ Kim, H Shin, H Namkung, TH Im… - Nano Research, 2021 - Springer
The unstructured data such as visual information, natural language, and human behaviors
opens up a wide array of opportunities in the field of artificial intelligence (AI). The memory …
opens up a wide array of opportunities in the field of artificial intelligence (AI). The memory …
Grid multi-scroll attractors in memristive Hopfield neural network under pulse current stimulation and multi-piecewise memristor
Q Wan, S Chen, Q Yang, J Liu, K Sun - Nonlinear Dynamics, 2023 - Springer
Grid multi-scroll attractors are widely studied in the traditional chaotic systems but are rarely
appeared in the neural network systems. This paper proposes a novel method for …
appeared in the neural network systems. This paper proposes a novel method for …
A new photosensitive neuron model and its dynamics
Y Liu, W Xu, J Ma, F Alzahrani, A Hobiny - Frontiers of Information …, 2020 - Springer
Biological neurons can receive inputs and capture a variety of external stimuli, which can be
encoded and transmitted as different electric signals. Thus, the membrane potential is …
encoded and transmitted as different electric signals. Thus, the membrane potential is …
Memristor-induced mode transitions and extreme multistability in a map-based neuron model
Because of the advent of discrete memristor, memristor effect in discrete map has become
the important subject deserving discussion. To this end, this paper constructs a memristor …
the important subject deserving discussion. To this end, this paper constructs a memristor …
A new memristive neuron map model and its network's dynamics under electrochemical coupling
A memristor is a vital circuit element that can mimic biological synapses. This paper
proposes the memristive version of a recently proposed map neuron model based on the …
proposes the memristive version of a recently proposed map neuron model based on the …
Analog/digital multiplierless implementations for nullcline-characteristics-based piecewise linear Hindmarsh-Rose neuron model
Multipliers are essential in implementing nonlinear neuron models, but they take huge
implementation costs. Many multiplierless fitting schemes have been proposed to simplify …
implementation costs. Many multiplierless fitting schemes have been proposed to simplify …
Energy balance between two thermosensitive circuits under field coupling
P Zhou, X Zhang, X Hu, G Ren - Nonlinear Dynamics, 2022 - Springer
A thermistor is connected to the induction coil in series of the Chua circuit and a
thermosensitive oscillator is obtained by applying scale transformation on the physical …
thermosensitive oscillator is obtained by applying scale transformation on the physical …