Neuromorphic Computing Technology

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. 

Q1: What is neuron?

A neuron, also known as a nerve cell, is a specialized cell in the nervous system that is responsible for transmitting information through electrical and chemical signals. Neurons are the basic building blocks of the nervous system and play a crucial role in processing and transmitting information within the body.

Source: IISc scientists develop brain-inspired analog computing platform capable of storing, processing data

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