BI 033 Federico Turkheimer: Weak Versus Strong Emergence

Brain Inspired

Apr 29 2019 | 01:06:05

00:00 / 01:06:05

Show Notes

Show Notes:

Federico’s website.
Federico’s papers we discuss:
- Conflicting emergences. Weak vs. strong emergence for the modelling of brain function
- From homeostasis to behavior: balanced activity in an exploration of embodied dynamic environmental-neural interaction
Free 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.

Other Episodes

Episode 0

November 06, 2019 • 01:25:48

BI 052 Andrew Saxe: Deep Learning Theory

Support the Podcast Andrew and I discuss his work exploring how various facets of deep networks contribute to their function, i.e. deep network theory....

Episode 0

August 15, 2024 • 01:27:51

BI 191 Damian Kelty-Stephen: Fractal Turbulent Cascading Intelligence

Support the show to get full episodes and join the Discord community. Damian Kelty-Stephen is an experimental psychologist at State University of New York...

Episode 0

November 15, 2018 • 01:06:03

BI 018 Dean Buonomano: Time in Brains and AI

Show notes: Follow Dean on Twitter: @deanbuonoVisit his lab website at UCLA.The review we discuss: The Neural Basis of Timing: Distributed Mechanisms for Diverse...