Spike Timing-Dependent Plasticity and Random Inputs Shape Interspike Interval Regularity of Model STN Neurons
<b>Background/Objectives:</b> Neuronal oscillations play a key role in the symptoms of Parkinson’s disease (PD). This study investigates the effects of random synaptic inputs, their correlations, and the interaction with synaptic dynamics and spike timing-dependent plasticity (STDP) on t...
Saved in:
Main Authors: | Thoa Thieu, Roderick Melnik |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-07-01
|
Series: | Biomedicines |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-9059/13/7/1718 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Interaction and synchronization of rhythms in a model of the brain limbic system
by: Kapustnikov, Anton Aleksandrovich, et al.
Published: (2025-07-01) -
Knowledge distillation for spiking neural networks: aligning features and saliency
by: Yifan Hu, et al.
Published: (2025-01-01) -
Resource-dependent heterosynaptic spike-timing-dependent plasticity in recurrent networks with and without synaptic degeneration
by: James Humble
Published: (2025-07-01) -
Emulation of Spiking Response and Spiking Frequency Property in VCSEL-Based Photonic Neuron
by: Shuiying Xiang, et al.
Published: (2016-01-01) -
Real-Time Large-Scale Neural Connectivity Inference on Spiking Neuromorphic System
by: Daeyoung Kim, et al.
Published: (2025-01-01)