"Anxiety may be due to chronic activation of the fight or flight system. PTSD may occur when trauma triggers the freeze response which helps animals disconnect from pain before they die, and depression may be a chronic activation of that same freeze response."
Isn't this a quite good definition of disorders? If a system is chronically activated when it should not, it seems like a disorder.
The reason there are any royalties to distribute at all is that Spotify has managed to create a distribution service that ppl are willing to pay for.
You can get free distribution for your music easily. Just put it on any torrent site...
Why do we need the assume a deterministic system? As long as it physical and we believe physics can be described with computation, we can simulate it. Some randomness doesn't matter.
It never became a top priority for the Swedish state. But since he fled to the Ecuadorian embassy the investigation just dragged on. This was never a high priority case other than for the press. And as soon as he could be inteterogated the investigation was closed.
He is and has been mistreated in may ways, but the accusations of sexual assault in Sweden was not part of some US lead conspiracy against him.
Well, Sweden is 7th on the list and over 20% of the ppl here have foreign background (individuals either born abroad or having both parents born abroad).
Canada is 9th.
We know from the violations of Bells inequality that we either need to give up locality (fast then light influence) or realism (that facts are objective and independent from the observer), or we have to accept that everything is super determistic and predetermined.
This experiment seems to hint on an absent of realism but it can still be one of the other options. You just have to decide which seem the least weird..
Yes the Incas overtook previous societies. But the Inca civilization is quite recent (15th century AD) so what was before was probably not that old either.
Very interesting also is that you can directly send the error to intermediate layers through sparse random projections without the need for any layerwise backpropagation. This relaxation of the structure of the backward pass makes bp even more plausible from a biological perspective.
Yes, but also in hebbian learning you must have some weakening of weights, otherwise the weights would just grow indefinitely? One example I guess is Oja's rule.
The difference to bp is just how to select what weights to strengthen and what to weaken based on what information. Forgetting and learning must always happen one way or the other. Or am I not getting your point?
How is your concern with the lack of symmetric backwards connections related to the last paragraph about the brain not forgetting?
The backward pass is used to both strengthen and weaken weights so in bp the forgetting and learning happens at the same time.
The don't do deep learning. Their papers are based on graphical models. Their RCN model can be said to be inspired by Numentas earlier HTM model that dileep developed there, but is very different in fundamental ways.
To me this is a strangely written paper although the results might be some what interesting. They just optimize over a different set of functions than you normally do in NN training and find solutions to various problems.
That they claim that the weights "are the solution" in normal NN training is wrong. Of course the weights AND the architecture are both important since they define the set of functions you search over. That you can find solutions by only searching over architecture is not surprising since the architecture is the combination of different operations.