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Related Experiment Video

Updated: Jan 25, 2026

Deep Neural Networks for Image-Based Dietary Assessment

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

Bistable Firing Pattern in a Neural Network Model.

Paulo R Protachevicz¹, Fernando S Borges², Ewandson L Lameu³

¹Graduate in Science Program-Physics, State University of Ponta Grossa, Ponta Grossa, Brazil.

Frontiers in Computational Neuroscience

|April 27, 2019

Summary

This summary is machine-generated.

Decreasing inhibition in neural networks can cause abnormal synchronization, mimicking epileptic seizures. External electrical stimulation can trigger this synchronization but also suppress it, offering a potential epilepsy treatment.

Keywords:

adaptive exponential integrate-and-fire neural model bistable regime epilepsy network neural dynamics synchronization

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Area of Science:

Computational Neuroscience
Systems Neuroscience
Epilepsy Research

Background:

Excessively high neural synchronization is a hallmark of epileptic seizures, a prevalent neurological disorder.
Understanding the mechanisms of neural synchronization is crucial for developing effective epilepsy treatments.

Purpose of the Study:

To investigate neural synchronization in a computational model of neuronal networks.
To explore the role of inhibition and synaptic coupling in generating abnormal synchronization.
To assess the potential of external electrical stimulation for controlling seizure-like activity.

Main Methods:

Utilized the adaptive exponential integrate-and-fire model for neuronal activity.
Simulated a random network with excitatory and inhibitory synapses.
Analyzed the transition from desynchronized to synchronized activity by varying synaptic coupling.
Investigated the effect of external current pulses on network synchronization.

Main Results:

A decrease in inhibition can induce synchronization from desynchronized states.
Synaptic coupling variations lead to a hysteresis loop, creating bistability with abnormal synchronization regimes.
External current pulses can trigger excessively high synchronization, replicating seizure features.
Applying small-amplitude external currents to a subset of neurons can suppress abnormal synchronization.

Conclusions:

External electrical stimulation can both trigger and suppress abnormal neural synchronization.
This finding suggests a potential therapeutic strategy for controlling or treating epileptic seizures.