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

August 16, 2020 • 01:22:05

BI 081 Pieter Roelfsema: Brain-propagation

Pieter and I discuss his ongoing quest to figure out how the brain implements learning that solves the credit assignment problem, like backpropagation does...

Episode 0

February 08, 2021 • 01:23:57

BI 097 Omri Barak and David Sussillo: Dynamics and Structure

Omri, David and I discuss using recurrent neural network models (RNNs) to understand brains and brain function. Omri and David both use dynamical systems...

Episode

August 25, 2018 • 00:37:16

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...