portada Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence (en Inglés)

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence (en Inglés)

Formato

Libro Físico

Autor

Nikola K. Kasabov

Editorial

Springer

Idioma

Inglés

N° páginas

738

Encuadernación

Tapa Blanda

Dimensiones

23.1x15.5x4.3 cm

Peso

1.07 kg.

ISBN13

9783662586075

Categorías

Neurología y neurofisiología clínicas
Neurociencias
Robótica
Ciencias de la computación

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence (en Inglés)

Nikola K. Kasabov (Autor) · Springer · Tapa Blanda

Libro Nuevo Importado

Envío: 16 a 23 días háb.

$ 597.54$ 298.77

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 298.77

Llega entre el 16 Sep y el 29 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence (en Inglés)"

Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author's contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.