Statistical learning algorithms for dendritic neuron model artificial neural network based on sine cosine algorithm
Training of dendritic neuron model artificial neural networks is generally achieved by using
nonlinear least square methods. The distribution of random error terms is ignored in training …
nonlinear least square methods. The distribution of random error terms is ignored in training …
Deep brain stimulation and lag synchronization in a memristive two-neuron network
In the pursuit of potential treatments for neurological disorders and the alleviation of patient
suffering, deep brain stimulation (DBS) has been utilized to intervene or investigate …
suffering, deep brain stimulation (DBS) has been utilized to intervene or investigate …
SpikeLog: Log-based anomaly detection via Potential-assisted Spiking Neuron Network
The increasing volume and complexity of log data generated by modern systems have made
it challenging to analyze and extract useful insights manually. To address this problem …
it challenging to analyze and extract useful insights manually. To address this problem …
Modeling and Designing of an All-Digital Resonate-and-Fire Neuron Circuit
Integrate-and-fire (IAF) and leaky integrate-and-fire (LIF) models are the popular models for
spiking neurons and spiking neuron networks (SNN). They lack the dynamic properties of …
spiking neurons and spiking neuron networks (SNN). They lack the dynamic properties of …
A Biomimetic Visual Detection Model: Event-driven LGMDs Implemented with Fractional Spiking Neuron Circuits
Y Deng, H Ruan, S He, T Yang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Objective: As biological wide-field visual neurons in locusts, lobula giant motion detectors
(LGMDs) can effectively predict collisions and trigger avoidance before the collision occurs …
(LGMDs) can effectively predict collisions and trigger avoidance before the collision occurs …
A stable and accurate discretization for fractional-order adaptive exponential integrate-and-fire models
We introduce an efficient discretization of a novel fractional-order adaptive exponential
(FrAdEx) integrate-and-fire model, which is used to study the fractional-order dynamics of …
(FrAdEx) integrate-and-fire model, which is used to study the fractional-order dynamics of …
Hardware Implementation of an Approximate Simplified Piecewise Linear Spiking Neuron
H Liu, M Wang, L Yao, M Liu - Electronics, 2023 - mdpi.com
Artificial intelligence has revolutionized image and speech recognition, but the neural
network fitting method has limitations. Neuromorphic chips that mimic biological neurons …
network fitting method has limitations. Neuromorphic chips that mimic biological neurons …