Related Experiment Video
Updated: Aug 30, 2025
08:08
Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
Published on: June 24, 2015
11.6K
Dynamics of phase oscillator networks with synaptic weight and structural plasticity
Kanishk Chauhan1,2, Ali Khaledi-Nasab3, Alexander B Neiman4,5
1Department of Physics and Astronomy, Ohio University, Athens, OH, 45701, USA. kanishk.phy@gmail.com.
Scientific Reports
|September 2, 2022
Summary
Structural plasticity in Kuramoto oscillator networks enhances synchronization and sparseness. Networks with structural plasticity and spike-timing-dependent plasticity (STDP) require stronger stimulation to switch states compared to those with STDP alone.
Area of Science:
- Computational neuroscience
- Complex systems dynamics
- Network science
Background:
- Neuronal networks exhibit complex dynamics influenced by neuronal activity, synaptic plasticity, and structural changes.
- Kuramoto oscillator networks are models for coupled oscillatory systems, including neuronal networks.
- Spike-timing-dependent plasticity (STDP) models synaptic weight adaptation, while structural plasticity models changes in network connectivity.
Purpose of the Study:
- To investigate the impact of incorporating structural plasticity alongside synaptic plasticity (STDP) on Kuramoto oscillator network dynamics.
- To compare the steady-state behaviors and state-switching properties of networks with STDP only versus those with both STDP and structural plasticity.
- To understand how these adaptation processes influence synchronized and desynchronized states in neuronal network models.
Main Methods:
- Simulated Kuramoto oscillator networks with two adaptation processes: synaptic weight adaptation via STDP and structural adaptation (addition/elimination of links).
- Analyzed steady-state dynamics in both synchronized and desynchronized regimes.
- Compared network properties (e.g., number of links, frequency-degree correlations) between networks with STDP alone and those with combined STDP and structural plasticity.
- Investigated state switching using external stimulation (desynchronizing and synchronizing).
Main Results:
- Structural plasticity optimizes synchronization, enabling it with fewer links compared to STDP alone.
- In networks with non-identical units, structural plasticity induces correlations between oscillator natural frequencies and node degrees.
- Structural plasticity promotes network sparseness in the desynchronized state.
- Networks with combined STDP and structural plasticity show enhanced stability, requiring stronger and longer stimulation to transition between synchronized and desynchronized states.
Conclusions:
- Structural plasticity significantly enhances both synchronized and desynchronized states in Kuramoto oscillator networks.
- The interplay between synaptic and structural plasticity leads to more robust network states.
- These findings highlight the importance of considering adaptive network structure in understanding neuronal dynamics and information processing.
Related Concept Videos
01:01Neuroplasticity
704
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
704
01:23Propagation of Action Potentials
6.6K
The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
6.6K
00:58Plasticity
2.5K
Plasticity is the property where an object loses its elasticity and undergoes irreversible deformation, even after the deformation forces are eliminated. If a material deforms irreversibly without increasing stress or load, then this is called ideal plasticity. For example, when a force is applied to an aluminum rod, it changes its shape, but it does not return to its original shape once the force is removed. Plastic deformation or ductility is thus a permanent deformation or change in the...
2.5K
01:30Current Growth And Decay In RL Circuits
4.0K
The current growth and decay in RL circuits can be understood by considering a series RL circuit consisting of a resistor, an inductor, a constant source of emf, and two switches. When the first switch is closed, the circuit is equivalent to a single-loop circuit consisting of a resistor and an inductor connected to a source of emf. In this case, the source of emf produces a current in the circuit. If there were no self-inductance in the circuit, the current would rise immediately to a steady...
4.0K
01:32Postsynaptic Potential (PSP)
3.3K
Postsynaptic potential (PSP) refers to a change in the electrical potential of a neuron when neurotransmitters released by presynaptic neurons bind to postsynaptic receptors. This potential can either be excitatory, leading to depolarization and ultimately action potential generation, or inhibitory, leading to hyperpolarization and suppression of the postsynaptic neuron.
There are two types of receptors: ionotropic and metabotropic.
The ionotropic receptor is the membrane protein that has an...
There are two types of receptors: ionotropic and metabotropic.
The ionotropic receptor is the membrane protein that has an...
3.3K
01:25Neural Circuits
1.5K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.5K