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Neural Circuits

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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.
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Nervous System

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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...

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Related Experiment Video

Updated: Mar 6, 2026

Designing and Implementing Nervous System Simulations on LEGO Robots

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

Neuronify: An Educational Simulator for Neural Circuits.

Svenn-Arne Dragly¹, Milad Hobbi Mobarhan², Andreas Våvang Solbrå¹

¹Centre for Integrative Neuroplasticity, University of Oslo, 0316 Oslo, Norway; Department of Physics, University of Oslo, 0316 Oslo, Norway.

|March 22, 2017

Summary

This summary is machine-generated.

Neuronify is a new app that makes learning about neural networks interactive and accessible. It allows students without programming experience to easily build and simulate complex brain models.

Keywords:

app modeling neural networks software teaching

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Area of Science:

Neuroscience
Educational Technology

Background:

Traditional science education often struggles with complex topics.
Few interactive applications exist for simulating neural networks.

Purpose of the Study:

To introduce Neuronify, an educational app for creating and exploring neural networks.
To lower the barrier to entry for simulation-based neuroscience education.

Main Methods:

Users can construct neural networks using a plug-and-play interface.
Neuronify includes adjustable neuron models (integrate-and-fire), stimulators, and recording devices.
Pre-made network motifs are provided for common functions.

Main Results:

Neuronify enables users with no programming background to simulate neural networks.
The app supports a wide range of platforms including smartphones, tablets, and computers.

Conclusions:

Neuronify offers an accessible and interactive platform for learning neuroscience.
The app can be effectively integrated into educational settings to enhance understanding of neural networks.