37 min listen
BI 033 Federico Turkheimer: Weak Versus Strong Emergence
FromBrain Inspired
ratings:
Length:
66 minutes
Released:
Apr 29, 2019
Format:
Podcast episode
Description
Show Notes:
Federico's website.Federico’s papers we discuss: Conflicting emergences. Weak vs. strong emergence for the modelling of brain functionFrom homeostasis to behavior: balanced activity in an exploration of embodied dynamic environmental-neural interactionFree Energy Principle. Integrated Information Theory. The Tononi paper about Integrated Information Theory and its relation to emergence: Quantifying causal emergence shows that macro can beat micro Default mode as large scale oscillation: The brain's code and its canonical computational motifs. From sensory cortex to the default mode network: A multi-scale model of brain function in health and disease.
Federico's website.Federico’s papers we discuss: Conflicting emergences. Weak vs. strong emergence for the modelling of brain functionFrom homeostasis to behavior: balanced activity in an exploration of embodied dynamic environmental-neural interactionFree Energy Principle. Integrated Information Theory. The Tononi paper about Integrated Information Theory and its relation to emergence: Quantifying causal emergence shows that macro can beat micro Default mode as large scale oscillation: The brain's code and its canonical computational motifs. From sensory cortex to the default mode network: A multi-scale model of brain function in health and disease.
Released:
Apr 29, 2019
Format:
Podcast episode
Titles in the series (100)
BI 006 Ryan Poplin: Deep Solutions: [bctt tweet=”Check out episode 6 of the Brain Inspired podcast: Deep learning, eyeballs, and brains” username=”pgmid”] Mentioned in the show Ryan Poplin What is a convolutional neural network? Here’s a good summary. Here by Brain Inspired