Scalable digital neuromorphic architecture for large-scale biophysically meaningful neural network with multi-compartment neurons
S Yang, B Deng, J Wang, H Li, M Lu… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Multicompartment emulation is an essential step to enhance the biological realism of
neuromorphic systems and to further understand the computational power of neurons. In this …
neuromorphic systems and to further understand the computational power of neurons. In this …
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 …
A low-cost high-speed neuromorphic hardware based on spiking neural network
Neuromorphic is a relatively new interdisciplinary research topic, which employs various
fields of science and technology, such as electronic, computer, and biology. Neuromorphic …
fields of science and technology, such as electronic, computer, and biology. Neuromorphic …
Synchronization in ensembles of delay-coupled nonidentical neuronlike oscillators
DD Kulminskiy, VI Ponomarenko, MD Prokhorov… - Nonlinear …, 2019 - Springer
We study both numerically and experimentally the synchronization in an ensemble of
nonidentical neuronlike oscillators described by the FitzHugh–Nagumo equations. The …
nonidentical neuronlike oscillators described by the FitzHugh–Nagumo equations. The …
Dynamic property analysis and circuit implementation of simplified memristive Hodgkin–Huxley neuron model
X Hu, C Liu - Nonlinear Dynamics, 2019 - Springer
In this paper, the dynamic properties of a simplified memristive Hodgkin–Huxley (SMHH)
neuron model are analyzed and an electric circuit is designed to completely implement it …
neuron model are analyzed and an electric circuit is designed to completely implement it …
Digital Hardware Implementation of Morris-Lecar, Izhikevich, and Hodgkin-Huxley Neuron Models With High Accuracy and Low Resources
The neuron can be called the main cell of a nervous system that can transmit messages from
one neuron to another neuron or another cell through electrical signals. In neuromorphic …
one neuron to another neuron or another cell through electrical signals. In neuromorphic …
A memristive autapse-synapse neural network: application to image encryption
X Zhang, D Jiang, JDD Nkapkop, ZT Njitacke… - Physica …, 2023 - iopscience.iop.org
With the advent of the physical memristor, various memristive neural network models have
been designed and analyzed to mimic some human brain functions. However, there is a …
been designed and analyzed to mimic some human brain functions. However, there is a …
Dynamic behaviors in coupled neuron system with the excitatory and inhibitory autapse under electromagnetic induction
Y Xu, Y Jia, JB Kirunda, J Shen, M Ge, L Lu, Q Pei - Complexity, 2018 - Wiley Online Library
The induced current produced by electromagnetic induction can adjust the membrane
potential of neuron through the feedback of a magnetic flux‐controlled memristor. We adopt …
potential of neuron through the feedback of a magnetic flux‐controlled memristor. We adopt …
A survey of spiking neural network accelerator on fpga
M Isik - arXiv preprint arXiv:2307.03910, 2023 - arxiv.org
Due to the ability to implement customized topology, FPGA is increasingly used to deploy
SNNs in both embedded and high-performance applications. In this paper, we survey state …
SNNs in both embedded and high-performance applications. In this paper, we survey state …
Low-voltage low-power integrable CMOS circuit implementation of integer-and fractional–order FitzHugh–Nagumo neuron model
FA Khanday, NA Kant, MR Dar… - … on Neural Networks …, 2018 - ieeexplore.ieee.org
The low-voltage low-power sinh-domain (SD) implementations of integer-and fractional-
order FitzHugh-Nagumo (FHN) neuron model have been introduced in this paper. Besides …
order FitzHugh-Nagumo (FHN) neuron model have been introduced in this paper. Besides …