Hi Ed,

do you have any references for that presentation (video or reference
paper)? I'd be very interested to know more about it.

Giacomo




On Sun, Jul 23, 2017 at 8:42 PM, Ed Pell <edp...@optonline.net> wrote:

> Ben, thanks for the reference it contains quite a large tree of material.
> I am a fan of local learning rules for ANN. One of the references from your
> post
>
> An Approximation of the Error Backpropagation
> Algorithm in a Predictive Coding Network
> with Local Hebbian Synaptic Plasticity
>
> James C. R. Whittington
> james.whitting...@ndcn.ox.ac.uk
> MRC Brain Network Dynamics Unit, University of Oxford, Oxford, OX1 3TH,
> U.K.,
> and FMRIB Centre, Nuffield Department of Clinical Neurosciences, University
> of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, U.K.
>
> Rafal Bogacz
> rafal.bog...@ndcn.ox.ac.uk
> MRC Brain Network Dynamics Unit, University of Oxford, Oxford OX1 3TH,
> U.K.,
> and Nuffield Department of Clinical Neurosciences, University of Oxford,
> John Radcliffe Hospital, Oxford OX3 9DU, U.K.
>
> I saw a presentation by a professor from Harvard on using predictive
> coding for vision. A interesting point was only the number of layers needed
> to code the complexity of the input data are used. The later layer do not
> train as they are not needed. Richer inputs drive the use of more layers. I
> suggested this was objective evidence for the efficacy of the federal Head
> Start program. He was not interested in that idea.
>
> Cheers,
>
> Ed
>
>
>
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