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Brain Computer Interfacing using Neuromorphic Computing

Publicado en 17 Aug 2022

Udemy UK

What you'll learn

  • Brain Computer Interfacing using spiking neural networks
  • Quantum spiking neural networks for re-wiring human brain
  • Drills/ Exercises on Brain Computer Interfacing using EEG Signals
  • How Brain Computer Interfacing is used for neuro-rehabilitation
  • Recurrent Neural Networks & LSTMs for Brain Computer Interfacing
  • Brain Computer Interfacing for Medical Imaging (Healthcare IT)
  • Brain Computer Interfacing- Human Brain on a Chip
  • Neuromorphic computing and Spiking Networks

Requirements

  • No requirements

Description

Despite being quite effective in a variety of tasks across industries, deep learning is constantly evolving, proposing new neural network (NN) architectures such as the Spiking Neural Network (SNN). This exciting course introduces you to the next generation of Machine Learning.  You would be able to learn about the fundamentals of Spiking Neural Networks and Brain-Computer Interfacing (BCI).


This course has the rigour enough to enable you not only to understand BCI but its implementation in spiking neural networks and to apply these concepts to Brain Healthcare (IT) even on edge machines using Tiny ML.


TinyML is a field of study in Machine Learning and Embedded Systems that explores the types of models you can run on small, low-powered devices like microcontrollers. It enables low-latency, low power and low bandwidth model inference at edge devices. While a standard consumer CPUs consume between 65 watts and 85 watts and standard consumer GPU consumes anywhere between 200 watts to 500 watts, a typical microcontroller consumes power in the order of milliwatts or microwatts.

That is around a thousand times less power consumption.


The course contents includes;

1. Introduction to Machine Learning, Deep Learning, and Artificial Intelligence.

2. How Quantum Computing is fuelling AI Healthcare Systems including BCIs. 

3. Introduction to Recurrent Neural Networks.

4. Introduction to LSTMs.

5. Introduction to Brain-Computer Interfaces.

6. How BCI is used for neuro- rehabilitation.

7. Brain-Computer Interfaces for Stress and Mood Regulation.

8. Brain-Computer Interfaces for Motor Imagery & EEG Signals.

9. Brain Implants using Brain-Computer Interfacing.

10. BCI for Medical Imaging.

11. Introduction to "Brain- on- a Chip.

12. Neuromorphic Computing for Brain Computer Interfacing.

13. Introduction to Tiny ML.

14. Tiny ML for Real Time Applications

Who this course is for:

  • Beginners curious to learn about Brain Computer Interfacing using deep neural networks
  • Undergraduate & Graduate students aspire to kick start Human inspired Artificial Intelligence

Debes tener en cuenta que los cupones duran maximo 4 dias o hasta agotar 1000 inscripciones,pero puede vencer en cualquier momento. Obten el curso con cupon haciendo clic en el siguiente boton:

(Cupón válido para las primeras 1000 inscripciones): E764F276F647B3FB4EBE
Udemy UK
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