Preview
  • The Self-Assembling Brain

  • How Neural Networks Grow Smarter
  • By: Peter Robin Hiesinger
  • Narrated by: Joel Richards
  • Length: 12 hrs and 22 mins
  • 4.4 out of 5 stars (12 ratings)

Prime logo Prime members: New to Audible?
Get 2 free audiobooks during trial.
Pick 1 audiobook a month from our unmatched collection.
Listen all you want to thousands of included audiobooks, Originals, and podcasts.
Access exclusive sales and deals.
Premium Plus auto-renews for $14.95/mo after 30 days. Cancel anytime.

The Self-Assembling Brain

By: Peter Robin Hiesinger
Narrated by: Joel Richards
Try for $0.00

$14.95/month after 30 days. Cancel anytime.

Buy for $21.49

Buy for $21.49

Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.

Publisher's summary

How does a neural network become a brain? While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in AI strive to achieve this through technology. The Self-Assembling Brain tells the stories of both fields, exploring the historical and modern approaches taken by the scientists pursuing answers to the quandary: What information is necessary to make an intelligent neural network?

As Peter Robin Hiesinger argues, "the information problem" underlies both fields. How does genetic information unfold during the process of human brain development—and is there a quicker path to creating human-level artificial intelligence? Is the biological brain just messy hardware, which scientists can improve upon by running learning algorithms on computers? Can AI bypass the evolutionary programming of "grown" networks? Hiesinger explores these tightly linked questions, highlighting the challenges facing scientists, their different disciplinary perspectives, and the common ground shared by those interested in the development of biological brains and AI systems. Hiesinger contends that the information content of biological and artificial neural networks must unfold in an algorithmic process requiring time and energy. There is no genome and no blueprint that depicts the final product. The self-assembling brain knows no shortcuts.

©2021 Princeton University Press (P)2023 Tantor
activate_Holiday_promo_in_buybox_DT_T2

What listeners say about The Self-Assembling Brain

Average customer ratings
Overall
  • 4.5 out of 5 stars
  • 5 Stars
    8
  • 4 Stars
    1
  • 3 Stars
    3
  • 2 Stars
    0
  • 1 Stars
    0
Performance
  • 4.5 out of 5 stars
  • 5 Stars
    7
  • 4 Stars
    4
  • 3 Stars
    0
  • 2 Stars
    0
  • 1 Stars
    0
Story
  • 4.5 out of 5 stars
  • 5 Stars
    6
  • 4 Stars
    2
  • 3 Stars
    3
  • 2 Stars
    0
  • 1 Stars
    0

Reviews - Please select the tabs below to change the source of reviews.

Sort by:
Filter by:
  • Overall
    3 out of 5 stars
  • Performance
    4 out of 5 stars
  • Story
    3 out of 5 stars

Not a Casual Read, Substantial

This book gives the reader the biologist perspective on how brains work along with the AI researchers perspective. It is a lot to take in. I gotlot outut of it but I have raed other books on brain development

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

  • Overall
    5 out of 5 stars
  • Performance
    4 out of 5 stars
  • Story
    5 out of 5 stars

Very Informative,refreshing,mind-blowing!-PDF

It's a very interesting blend of neuroscience and AI. But It would be better to get a PDF file with the Audiobook. Narrator is OK,but he could be louder)) Anyway, thanks the author for the experience.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!