A Spiking Neural Network
Spiking neural networks (SNNs) are a type of artificial neural network that simulate the behavior of biological neurons. They are based on the idea that information processing in the brain occurs through the generation and propagation of spikes, or electrical impulses, between neurons.
Areas of application
- Neuroscience
- Pattern recognition
- Robotics
- Predictive analytics
- Speech recognition
- Image processing
- Autonomous vehicle systems
Example
A spiking neural network could be used to model the behavior of a group of neurons in the brain, such as those involved in controlling a robot’s movements. The network would generate spikes in response to sensory input and use these spikes to control the robot’s actions.