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Literature DB >> 26379798

Teaching computational neuroscience.

Abstract

The problems and beauty of teaching computational neuroscience are discussed by reviewing three new textbooks.

Keywords: Computational neuroscience; Education; Models

Source DB: PubMed Journal: Cogn Neurodyn ISSN： 1871-4080 Impact factor: 5.082

5 in total

Authors: G L GERSTEIN; B MANDELBROT
Journal: Biophys J Date: 1964-01 Impact factor: 4.033

Authors: W B Levy; O Steward
Journal: Neuroscience Date: 1983-04 Impact factor: 3.590

Authors: J J Hopfield
Journal: Proc Natl Acad Sci U S A Date: 1982-04 Impact factor: 11.205

Authors: S Grossberg
Journal: Psychol Rev Date: 1980-01 Impact factor: 8.934

Authors: J J Hopfield
Journal: Proc Natl Acad Sci U S A Date: 1984-05 Impact factor: 11.205

5 in total

4 in total

Authors: Christian G Fink
Journal: J Undergrad Neurosci Educ Date: 2017-06-15

Authors: Eduardo Mizraji; Juan Lin
Journal: Cogn Neurodyn Date: 2016-10-21 Impact factor: 5.082

Authors: Anwesha Khasnobish; Monalisa Pal; Dwaipayan Sardar; D N Tibarewala; Amit Konar
Journal: Cogn Neurodyn Date: 2016-04-19 Impact factor: 5.082

Authors: Benjamin Latimer; David A Bergin; Vinay Guntu; David J Schulz; Satish S Nair
Journal: IEEE Trans Ed Date: 2018-08-13 Impact factor: 2.740

4 in total