Neuromorphic Computing Technology

Table of Contents☰

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