0/Another great interview on Brain Inspired with @dileeplearning. https://twitter.com/pgmid/status/1344038876562685952
1/I haven't been terribly careful with distinguishing between predictive coding and predictive processing in the past, but perhaps it would be good to start being more careful with that terminology.

@PaulPcf22
4/O'Reilly's model of pulvinar as blackboard is mentioned in the interview with @pgmid, although I wonder if thalamus plays more of helping role in establishing this functionality via promoting synchrony/precision-weighting of cortical ensembles. https://twitter.com/adamsafron/status/1324104549267898373
5/If canonical microcircuits depend on non-linear dendritic integration, then might we become confused in attempting to characterize cortical computation without taking these computational properties into account?

@tyrell_turing
6/One thing I like about vanilla predictive coding (only prediction-errors are passed upwards) is that it would both provide energetic efficiency (crucial considering the metabolic expense of brains) and induce sparsity.

@SubutaiAhmad @JeffCHawkins

https://arxiv.org/abs/1903.11257 
8.1/Interview with @pgmid discussing Adaptive Resonance Theory with Stephen Grossberg: https://twitter.com/adamsafron/status/1321191111495397381
10.1/ @dileeplearning mentioned in the interview that thalamic gain/attentional amplification could be thought of as a kind of explaining away. Very curious to understand that better.
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