Neural network models and deep learning

Nikolaus Kriegeskorte, Tal Golan

Research output: Contribution to journalShort surveypeer-review

272 Scopus citations


Originally inspired by neurobiology, deep neural network models have become a powerful tool of machine learning and artificial intelligence. They can approximate functions and dynamics by learning from examples. Here we give a brief introduction to neural network models and deep learning for biologists. We introduce feedforward and recurrent networks and explain the expressive power of this modeling framework and the backpropagation algorithm for setting the parameters. Finally, we consider how deep neural network models might help us understand brain computation.

Original languageEnglish
Pages (from-to)R231-R236
JournalCurrent Biology
Issue number7
StatePublished - 1 Apr 2019
Externally publishedYes

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology
  • General Agricultural and Biological Sciences


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