These references are to the only work with which I am intimately familiar: my own. I will be happy to also post references to other works if both the reference and the description are provided by a named source, but I have neither the time, the interest, nor the ability to both understand each work anyone suggests and to defend my interpretation of it. Sorry.
|Paper||Year||Main point||Weakness||Similar work|
|95 Hypotheses on the Informational Structure of Life which are Multi-scale, Human-readable, Provacative, Plausible, Coherent, Actionable, and Falsifiable||2017||Proposes nine generic, testable information-processing mechanisms, ranging from self-replication to self-calbration, by which Life functions and grows.||This theory ought to be self-evident. No equations, data, references, or experimental detail.|
|Elastic Nanocomputation in an Ideal Brain||2014||Explains continuous low-dimensional representations, and calculates the millions-fold advantages of continuous simulatrix over "neural" representations.||First draft, few refs|
|Brain-like software architecture||2002 (unpublished)||Modular architecture of compressor/predictors||No 3-D priors||Numenta|
|Unsupervised Pixel-prediction||1996 (NIPS)||Hebbian system learns 2-D motion from structured input, and learns further features from prediction failures.||Must learn the dimensionality of its compressed representation (i.e. 2)||Rao & Ballard, Hawkins|
|Modeling thalamus as a predictive comparator||1993 (unpublished)||Models thalamus as an I/O port subtracting predictions from new input.||about single-neuron dynamics, not overall function|
|Simple Codes vs. Efficient Codes||1993||Contrasts the traditional assumption that neurons use slow and noisy rate-codes with the alternative that they use high-precision single-spike codes, and shows how the single-spike code is in fact consistent with experiment.||Only addresses info density, not function||Shadlen and Newsome|