SKU/Artículo: AMZ-1786349582

Deep Learning For Eeg-based Brain-computer Interfaces: Representations, Algorithms And Applications

Format:

Hardcover

Hardcover

Kindle

Detalles del producto
Disponibilidad:
En stock
Peso con empaque:
0.54 kg
Devolución:
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • Deep Learning for EEG-Based Brain–Computer Interfaces is an exciting book that describes how emerging deep learning improves the future development of Brain–Computer Interfaces (BCI) in terms of representations, algorithms and applications. BCI bridges humanity's neural world and the physical world by decoding an individuals' brain signals into commands recognizable by computer devices. This book presents a highly comprehensive summary of commonly-used brain signals; a systematic introduction of around 12 subcategories of deep learning models; a mind-expanding summary of 200+ state-of-the-art studies adopting deep learning in BCI areas; an overview of a number of BCI applications and how deep learning contributes, along with 31 public BCI data sets. The authors also introduce a set of novel deep learning algorithms aimed at current BCI challenges such as robust representation learning, cross-scenario classification, and semi-supervised learning. Various real-world deep learning-based BCI applications are proposed and some prototypes are presented. The work contained within proposes effective and efficient models which will provide inspiration for people in academia and industry who work on BCI.
AR$247.846
44% OFF
AR$137.693

IMPORT EASILY

By purchasing this product you can deduct VAT with your RUT number

AR$247.846
44% OFF
AR$137.693

10% OFF con cupon ANIVERSARIO10

Pagá fácil y rápido con Mercado Pago o MODO

Llega en 8 a 12 días hábiles
con envío
Tienes garantía de entrega
Este producto viaja de USA a tus manos en