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Name: The neural simulation language
Author: Alfredo Weitzenfeld

📘 The neural simulation language by Alfredo Weitzenfeld

First publish date: 2002

Authors: Alfredo Weitzenfeld

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Books similar to The neural simulation language (5 similar books)

📘 Theoretical neuroscience

by Peter Dayan

"Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory."--BOOK JACKET.

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📘 Neurobiology of the locus coeruleus

by Jochen Klein

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📘 Introduction to Neural and Cognitive Modeling

by Daniel S. Levine

A comprehensive guide for cognitive scientists, neuroscientists, and computer scientists, detailing neural network modeling principles and applications from spatiotemporal pattern processing to brain‑area specific models and modern algorithmic advances.

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📘 Unsupervised learning

by Terrence J. Sejnowski

Exploring algorithms for extracting internal representations of statistical structure in neural networks and applications to engineering fields.

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📘 The Mind within the Net

by Manfred Spitzer

How does the brain work? How do billions of neurons bring about ideas, sensations, emotions, and actions? Why do children learn faster than elderly people? What can go wrong in perception, thinking, learning, and acting? Scientists now use computer models to help us understand the most private and human experiences. In The Mind within the Net, Manfred Spitzer shows how these models can fundamentally change how we think about learning, creativity, thinking, and acting, as well as about such matters as schools, retirement homes, politics, and mental disorders.

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Some Other Similar Books

Neural Networks and Deep Learning: A Textbook by Charu C. Aggarwal
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems by Peter Dayan and L. F. Abbott
Neuronal Dynamics: From Single-Neuron Excitability to Cognitive Function by Wulfram Gerstner, Werner M. Kistler, Richard Naud, and Liam Paninski
Artificial Neural Networks: A Guide to Current Research by Kevin Gurney, Neil Marsh, and Patrick O. Clifford
Computational Neurodynamics: Theoretical Techniques and Data by Wulfram Gerstner, Richard Naud
Spiking Neural Networks: Fundamentals, Architectures, and Applications by Walter S. S. T. Lee
The Neuromorphic Engineer by C. S. Durfee Jr., M. A. McCarthy
Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems by Bin He
Neuroinformatics: An Overview of the State of the Art by Jérôme Peyrat, Antoine T. Lowe, and Marco L. Kalamaras

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