Custom cover image
Custom cover image

Fundamentals of computational neuroscience / Thomas Trappenberg

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Oxford ; New York, NY : Oxford University Press, 2023Edition: Third editionDescription: 1 Online-Ressource (xiii, 396 pages) : illustrationsISBN:
  • 9780192696120
  • 0192696122
  • 9780191965418
  • 0191965413
  • 9780192696137
  • 0192696130
Subject(s): Additional physical formats: 0192869361 | 9780192869364 | Erscheint auch als: 0192869361 Druck-AusgabeDDC classification:
  • 153
LOC classification:
  • QP357.5
Online resources: Summary: I : Background -- II : Neurons -- III : Networks -- IV System-level models.Summary: This is an introductory book for computational neuroscience. The book starts with a high-level overview and some fundamental questions about brain theories, a brief discussion about the role of modeling, and some other basic facts from neuroscience. The book also reviews essential scientific programming in Python and the basic mathematical and statistical concept used in the book. The following part of the book focuses on basic mechanisms and modeling of single neurons or population averages. This starts from detailed discussion of changes in the membrane potentials through ion channels, spike generations, and synaptic plasticity, with increasingly abstractions in the following chapters. After this, the information processing capabilities of basic networks are described, including feedforward and competitive recurrent networks. The last part of the book describes some examples of combining such elementary networks as well as some examples of more system-level models of the brain. This new edition of my book incorporates recent lessons from deep learning. While there are excellent books on deep learning, the emphasis here is their connection to brain processing. An important aspect is thereby the concepts of representational learning and computation with uncertainties. Also, I now included gated recurrent neural networks that are becoming an important fundamental mechanism when thinking about brain processing. While we will not be able to dive into all the recent progress, I hope that the text will guide further specific studies and researchPPN: PPN: 1882638301Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB
No physical items for this record
KIT – The Research University in the Helmholtz Association                         Home | Impressum | Datenschutz | Barrierefreiheit | KIT