Spike-based learning application for neuromorphic engineering

Released on by Anup Das
preview-18

  • Spike-based learning application for neuromorphic engineering Book Detail

  • Author : Anup Das
  • Release Date : 2024-08-22
  • Publisher : Frontiers Media SA
  • Genre : Science
  • Pages : 235
  • ISBN 13 : 2832553184
  • File Size : 65,65 MB
DOWNLOAD BOOK

Spike-based learning application for neuromorphic engineering by Anup Das PDF Summary

Book Description: Spiking Neural Networks (SNN) closely imitate biological networks. Information processing occurs in both spatial and temporal manner, making SNN extremely interesting for the pertinent mimicking of the biological brain. Biological brains code and transmit the sensory information in the form of spikes that capture the spatial and temporal information of the environment with amazing precision. This information is processed in an asynchronous way by the neural layer performing recognition of complex spatio-temporal patterns with sub-milliseconds delay and at with a power budget in the order of 20W. The efficient spike coding mechanism and the asynchronous and sparse processing and communication of spikes seems to be key in the energy efficiency and high-speed computation capabilities of biological brains. SNN low-power and event-based computation make them more attractive when compared to other artificial neural networks (ANN).

Disclaimer: www.yourbookbest.com does not own Spike-based learning application for neuromorphic engineering books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Neuromorphic Cognitive Systems

Neuromorphic Cognitive Systems

File Size : 46,46 MB
Total View : 9690 Views
DOWNLOAD

This book presents neuromorphic cognitive systems from a learning and memory-centered perspective. It illustrates how to build a system network of neurons to pe

Event-Based Neuromorphic Systems

Event-Based Neuromorphic Systems

File Size : 44,44 MB
Total View : 6288 Views
DOWNLOAD

Neuromorphic electronic engineering takes its inspiration from the functioning of nervous systems to build more power efficient electronic sensors and processor

Towards Neuromorphic Machine Intelligence

Towards Neuromorphic Machine Intelligence

File Size : 61,61 MB
Total View : 3305 Views
DOWNLOAD

Towards Neuromorphic Machine Intelligence: Spike-Based Representation, Learning and Applications provides readers with in-depth understanding of Spiking Neural