Related Experiment Video
Updated: Apr 12, 2026
08:08
Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
Published on: June 24, 2015
12.2K
A neural network model of reliably optimized spike transmission
Toshikazu Samura1, Yuji Ikegaya2, Yasuomi D Sato3
1Department of Applied Molecular Bioscience, Graduate School of Medicine, Yamaguchi University, 1-1-1, Minamikogushi, Ube, Yamaguchi, 755-8508 Japan.
Cognitive Neurodynamics
|May 15, 2015
Summary
Researchers optimized neuronal network models to match experimental data by balancing synaptic weights and background activity. This ensures reliable spike transmission, crucial for understanding brain function.
Area of Science:
- Computational Neuroscience
- Neuroscience
Background:
- Neuronal network models are essential for understanding brain function.
- Spontaneous neuronal activity exhibits stochastic properties like spike-count rate and synchrony size.
- Optimizing these properties is key to reliable spike transmission.
Purpose of the Study:
- To investigate the detailed structure of a neuronal network model with optimized spontaneous spike activity.
- To discuss the reliability of optimized spike transmission in the network.
- To systematically match stochastic properties of spontaneous activity to experimental data.
Main Methods:
- Calculated two stochastic properties: spike-count rate and synchrony size.
- Investigated log-normally distributed synaptic weights and synaptic background activity.
- Simultaneously optimized synchrony size and spike-count rate.
Main Results:
- Achieved optimized spike transmission by balancing log-normal synaptic weight distributions and synaptic background activity.
- Synchrony size probability approximately follows a power-law.
- Identified inhibitory neurons with hub-like structures as key to simultaneous optimization.
Conclusions:
- Simultaneous optimization of spike-count rate and synchrony size requires balanced synaptic weights and amplified background activity.
- Hub-like inhibitory neurons driven by excitatory feedback are critical for this optimization.
- The findings advance understanding of neuronal network dynamics and reliable information processing in the brain.
Keywords:
Log-normally distributed synaptic weightsPower-law-distributed synchronySpike transmissionSynaptic background activityMore Related Videos
Related Concept Videos
01:28Neuronal Communication
5.4K
Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
5.4K
01:19The Role of Ion Channels in Neuronal Computation
4.3K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
4.3K
02:47The Synapse
138.8K
Neurons communicate with one another by passing on their electrical signals to other neurons. A synapse is the location where two neurons meet to exchange signals. At the synapse, the neuron that sends the signal is called the presynaptic cell, while the neuron that receives the message is called the postsynaptic cell. Note that most neurons can be both presynaptic and postsynaptic, as they both transmit and receive information.
138.8K
01:30Neuron Structure
22.0K
Neurons are the main type of cell in the nervous system that generate and transmit electrochemical signals. They primarily communicate with each other using neurotransmitters at specific junctions called synapses. Neurons come in many shapes that often relate to their function, but most share three main structures: an axon and dendrites that extend out from a cell body.
Structure and Function of Neurons
The neuronal cell body—the soma— houses the nucleus and organelles vital to...
Structure and Function of Neurons
The neuronal cell body—the soma— houses the nucleus and organelles vital to...
22.0K
01:31Neuron Structure
236.9K
Overview
236.9K
01:21Electrochemical Gradient and Channel Proteins: An Overview
5.5K
An electrochemical gradient is a fundamental concept in biology and chemistry. It regulates the movement of ions across cell membranes. This movement is influenced by two factors:
The electrical gradient: The electrical gradient across cell membranes refers to the difference in electric charge between the inside and outside of a cell. This difference drives the movement of ions towards or away from the cells. For instance, if the inside of the cell is more negatively charged relative to...
The electrical gradient: The electrical gradient across cell membranes refers to the difference in electric charge between the inside and outside of a cell. This difference drives the movement of ions towards or away from the cells. For instance, if the inside of the cell is more negatively charged relative to...
5.5K