Answers.Body: <p>The most popular theoretical framework in use currently, in the neuromorphic (brain-inspired) computing community is the Neural Engineering Framework (NEF). Neural Engineering by Chris Eliasmith and Charles Anderson explains the framework comprehensively.</p>
  <p>As a follow up to that, How to Build a Brain by Chris Eliasmith describes the more recent and more high-level description of how to get spiking neural networks to actually perform multiple functions: the Semantic Pointer Architecture (SPA).</p>
  <p>If you're looking for hardware descriptions too, the research publications on the chips Neurogrid, Brainscales, Braindrop, SpiNNaker, Loihi, TrueNorth etc. provide some good high-level descriptions of how to actually build the aforementioned chips.</p>
  
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Answers.Text: Hello. Welcome to Artificial Intelligence SE. Thanks for trying to contribute to our site! It may be a good idea to provide links to the cited books or their pdfs, if available.
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Body: <p>I am looking to write my master's thesis next year about brain-inspired computing. Hence, I am looking to get a good overview of this domain.</p>
  <p>Do you know of any comprehensive book that reviews topics in the area of brain-inspired computing (such as spiking neural networks)?</p>
  <p>In spirit and scope, it should be similar to Ian Goodfellow's book deep learning.</p>
  
Tags: <reference-request><neuromorphic-engineering><books><neuroscience><human-inspired>
Title: Is there any comprehensive book that reviews topics in the area of brain-inspired computing?
UserDisplayName: postnubilaphoebus
ThreadText: # Is there any comprehensive book that reviews topics in the area of brain-inspired computing?
  
  (Asked by: username_0 on 2021-03-26)
  
  I am looking to write my master's thesis next year about brain-inspired computing. Hence, I am looking to get a good overview of this domain.
  
  Do you know of any comprehensive book that reviews topics in the area of brain-inspired computing (such as spiking neural networks)?
  
  In spirit and scope, it should be similar to Ian Goodfellow's book deep learning.
  
  **Tags:** reference-request, neuromorphic-engineering, books, neuroscience, human-inspired
  
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  ## 1 answers
  
  ### Answer by username_1 on 2021-07-20. Score: 1 | Accepted answer
  
  The most popular theoretical framework in use currently, in the neuromorphic (brain-inspired) computing community is the Neural Engineering Framework (NEF). Neural Engineering by Chris Eliasmith and Charles Anderson explains the framework comprehensively.
  
  As a follow up to that, How to Build a Brain by Chris Eliasmith describes the more recent and more high-level description of how to get spiking neural networks to actually perform multiple functions: the Semantic Pointer Architecture (SPA).
  
  If you're looking for hardware descriptions too, the research publications on the chips Neurogrid, Brainscales, Braindrop, SpiNNaker, Loihi, TrueNorth etc. provide some good high-level descriptions of how to actually build the aforementioned chips.
  
  > **Comments:**
  > **username_2**: Hello. Welcome to Artificial Intelligence SE. Thanks for trying to contribute to our site! It may be a good idea to provide links to the cited books or their pdfs, if available.  
  
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