About Neuromorphic Computing Technology:
- It is also known as neuromorphic engineering, is an approach to computing that mimics the way the human brain works.
- It entails designing hardware and software that simulate the neural and synaptic structures and functions of the brain to process information.
- How does it Work?
- It is modeled in neuromorphic computing systems through Spiking Neural Networks (SNNs).
- A Spiking Neural Network is a type of artificial neural network composed of spiking neurons and synapses.
- These spiking neurons store and process data similar to biological neurons, with each neuron having its own charge, delay and threshold values.
- Synapses create pathways between neurons and also have delay and weight values associated with them.
- Benefits
- Adaptability: Neuromorphic devices are designed for real-time learning, continuously adapting to evolving stimuli in the form of inputs and parameters.
- Parallel processing: As SNN’s asynchronous nature, individual neurons can perform different operations concurrently. So neuromorphic devices can execute as many tasks as there are neurons at a given time.
