Hysteresis in Neuron Models with Adapting Feedback Synapses
Despite its significance, hysteresis remains underrepresented in mainstream models of plasticity. In this work, we propose a novel framework that explicitly models hysteresis in simple one- and two-neuron models. Our models capture key feedback-dependent phenomena such as bistability, multistability...
Saved in:
| Main Authors: | Sebastian Thomas Lynch, Stephen Lynch |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | AppliedMath |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-9909/5/2/70 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hysteresis and bistability in synaptic transmission modeled as a chain of biochemical reactions with a positive feedback
by: Pranas Katauskis, et al.
Published: (2024-06-01) -
Bifurcation analysis of multistability and hysteresis in a model of HIV infection
by: I. V. Mironov, et al.
Published: (2023-12-01) -
A bacteriophage model based on CRISPR/Cas immune system in a chemostat
by: Mengshi Shu, et al.
Published: (2017-09-01) -
Symmetry, Hopf bifurcation, and offset boosting in a novel chameleon system
by: Jie Liu, et al.
Published: (2025-03-01) -
Delayed Feedback Chaos Control on a Cournot Game with Relative Profit Maximization
by: Kosmas Papadopoulos, et al.
Published: (2025-07-01)