Differentiable Neural Computers
<a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Bio-inspired_computing" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Bio-inspired_computing</a><p>Present day Neuron models lack an incredible number of functional features that are clearly present in the human brain.<p>NTMs = representing memory that is stored in neurons
<a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Neuronal_memory_allocation" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Neuronal_memory_allocation</a><p>Decoupled Neural Interfaces using Synthetic Gradients  = <a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Electrochemical_gradient" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Electrochemical_gradient</a><p>Differentiable Neural Computers = 
Won&#x27;t specify what natural aspect of the brain this derives from.<p>Pick an aspect of a neuron or the brain that isn&#x27;t modeled, write a model...<p><i>Bleeding edge + Operating on another level</i><p>The fact that someone is going out of there way to remove points from my posts so that this doesn&#x27;t see tomorrow&#x27;s foot traffic instead of replying and critiquing me just goes to show how truthful these statements are.<p>Anyone can create such models. No one has a monopoly or patent on how the brain functions. Thus, expect many models and approaches.. Some better than others.<p>You can down-vote all you want. The better model and architecture wins this game. It would help the community if people were honest about what&#x27;s going on here but people instead want to believe in magic and subscribe to the idea that only a specific group of people are writing biologically inspired software and are capable authoring a model of what is clearly documented in the human brain. Interesting that this is the reception.