2022
DOI: 10.1109/tcsii.2021.3106400
|View full text |Cite
|
Sign up to set email alerts
|

Synchronization of Coupled Hindmarsh-Rose Neuronal Dynamics: Analysis and Experiments

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 8 publications
(3 citation statements)
references
References 19 publications
0
3
0
Order By: Relevance
“…C OOPERATIVE control of multi-agent systems [1]- [12] has received much attention in past decades, and researchers from different disciplines have achieved abundant results including consensus, formation control, rendezvous, and so forth. Consensus, a fundamental problem in multiagent systems, means that a group of agents reach a common value or state by its local interaction, and has become one of the attractive and challenging research directions in a variety of scientific communities, such as social networks [13], neural networks [14], unmanned swarm systems [15], smart girds [16], etc. The agent's dynamics is an important factor in the design of consensus algorithms, which are primarily studied for single-integrator agents, please see [17]- [19].…”
Section: Introductionmentioning
confidence: 99%
“…C OOPERATIVE control of multi-agent systems [1]- [12] has received much attention in past decades, and researchers from different disciplines have achieved abundant results including consensus, formation control, rendezvous, and so forth. Consensus, a fundamental problem in multiagent systems, means that a group of agents reach a common value or state by its local interaction, and has become one of the attractive and challenging research directions in a variety of scientific communities, such as social networks [13], neural networks [14], unmanned swarm systems [15], smart girds [16], etc. The agent's dynamics is an important factor in the design of consensus algorithms, which are primarily studied for single-integrator agents, please see [17]- [19].…”
Section: Introductionmentioning
confidence: 99%
“…Some of them are hybrid synapse [16], Josephson junction synapse [17], memristive synapse [18], electrical synapse [19,20], and chemical synapse [21]. Following that, a large number of single neurons [22][23][24][25][26][27][28][29] and coupled neurons [27,[30][31][32][33][34][35][36][37][38][39][40][41][42] models have been introduced and addressed in the literature using the quoted artificial synapses.…”
Section: Introductionmentioning
confidence: 99%
“…As we all know, the nervous system has a large number of neurons with different biological structures and functions. Most memristive neurons and neural network models consider only identical neurons and a single biological function (Hou et al 2021 ; Tabekoueng Njitacke et al 2020 ; Goetze and Lai 2021 ; Joshi 2021 ; Mersing et al 2021 ; Wouapi et al 2021 ). Then, the previous literature is devoted to investigating the electrical activities of coupled neurons with either identical neurons or non-identical neurons governed by the same mathematical model.…”
Section: Introductionmentioning
confidence: 99%