Discover this podcast and so much more

Podcasts are free to enjoy without a subscription. We also offer ebooks, audiobooks, and so much more for just $11.99/month.

BI 102 Mark Humphries: What Is It Like To Be A Spike?

BI 102 Mark Humphries: What Is It Like To Be A Spike?

FromBrain Inspired


BI 102 Mark Humphries: What Is It Like To Be A Spike?

FromBrain Inspired

ratings:
Length:
92 minutes
Released:
Apr 16, 2021
Format:
Podcast episode

Description

Mark and I discuss his book, The Spike: An Epic Journey Through the Brain in 2.1 Seconds. It chronicles how a series of action potentials fire through the brain in a couple seconds of someone's life. Starting with light hitting the retina as a person looks at a cookie, Mark describes how that light gets translated into spikes,  how those spikes get processed in our visual system and eventually transform into motor commands to grab that cookie. Along the way, he describes some of the big ideas throughout the history of studying brains (like the mechanisms to explain how neurons seem to fire so randomly), the big mysteries we currently face (like why do so many neurons do so little?), and some of the main theories to explain those mysteries (we're prediction machines!). A fun read and discussion. This is Mark's second time on the podcast - he was on episode 4 in the early days, talking more in depth about some of the work we discuss in this episode!





The Humphries Lab.Twitter: @markdhumphriesBook: The Spike: An Epic Journey Through the Brain in 2.1 Seconds.Related papersA spiral attractor network drives rhythmic locomotion.



Timestamps:



0:00 - Intro
3:25 - Writing a book
15:37 - Mark's main interest
19:41 - Future explanation of brain/mind
27:00 - Stochasticity and excitation/inhibition balance
36:56 - Dendritic computation for network dynamics
39:10 - Do details matter for AI?
44:06 - Spike failure
51:12 - Dark neurons
1:07:57 - Intrinsic spontaneous activity
1:16:16 - Best scientific moment
1:23:58 - Failure
1:28:45 - Advice
Released:
Apr 16, 2021
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.