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ref: -0 tags: cortical computation learning predictive coding reviews date: 02-23-2021 20:15 gmt revision:2 [1] [0] [head]

PMID-30359606 Predictive Processing: A Canonical Cortical Computation

  • Georg B Keller, Thomas D Mrsic-Flogel
  • Their model includes on two error signals: positive and negative for reconciling the sensory experience with the top-down predictions. I haven't read the full article, and disagree that such errors are explicit to the form of neurons, but the model is plausible. Hence worth recording the paper here.

PMID-23177956 Canonical microcircuits for predictive coding

  • Andre M Bastos, W Martin Usrey, Rick A Adams, George R Mangun, Pascal Fries, Karl J Friston
  • We revisit the established idea that message passing among hierarchical cortical areas implements a form of Bayesian inference-paying careful attention to the implications for intrinsic connections among neuronal populations.
  • Have these algorithms been put to practical use? I don't know...

Control of synaptic plasticity in deep cortical networks

  • Pieter R. Roelfsema & Anthony Holtmaat
  • Basically argue for a many-factor learning rule at the feedforward and feedback synapses, taking into account pre, post, attention, and reinforcement signals.
  • See comment by Tim Lillicrap and Blake Richards.