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BI 137 Brian Butterworth: Can Fish Count?

BI 137 Brian Butterworth: Can Fish Count?

FromBrain Inspired


BI 137 Brian Butterworth: Can Fish Count?

FromBrain Inspired

ratings:
Length:
78 minutes
Released:
May 27, 2022
Format:
Podcast episode

Description

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Brian Butterworth is Emeritus Professor of Cognitive Neuropsychology at University College London. In his book, Can Fish Count?: What Animals Reveal About Our Uniquely Mathematical Minds, he describes the counting and numerical abilities across many different species, suggesting our ability to count is evolutionarily very old (since many diverse species can count). We discuss many of the examples in his book, the mathematical disability dyscalculia and its relation to dyslexia, how to test counting abilities in various species, how counting may happen in brains, the promise of creating artificial networks that can do math, and many more topics.





Brian's website: The Mathematical BrainTwitter: @b_butterworthThe book:Can Fish Count?: What Animals Reveal About Our Uniquely Mathematical Minds



0:00 - Intro
3:19 - Why Counting?
5:31 - Dyscalculia
12:06 - Dyslexia
19:12 - Counting
26:37 - Origins of counting vs. language
34:48 - Counting vs. higher math
46:46 - Counting some things and not others
53:33 - How to test counting
1:03:30 - How does the brain count?
1:13:10 - Are numbers real?
Released:
May 27, 2022
Format:
Podcast episode

Titles in the series (99)

Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.