Mentioned in the show


Follow Blake on twitter: @tyrell_turing


Blake’s Learning in Neural Circuits (LiNC) Laboratory.


He’s a Fellow with the Learning in Machines and Brains Program of the Canadian Institute for Advanced Research (CIFAR).


The paper we discuss:


Towards Deep Learning With Segregated Dendrites.




Code to run the model on Github.


If you’d rather watch a talk, here’s the same topic in a great talk by Blake.


The idea of approaching neuroscience from the perspective there are general principles of computation applicable to both brains and AI:


Geoffrey Hinton.


Cybernetics.


McCullough and Pitts artificial neuron: Their original paper and a nice tutorial.


Frank Rosenblaut.


Demis Hassabis, who founded Deepmind, wrote a great review of how AI and neuroscience can work together.



Donald Hebb of the famed Hebbian Learning in his famous book The Organization of Behavior: A Neuropsychological Theory.

Konrad Kording’s 2001 paper articulating the same idea we discuss: Supervised and Unsupervised Learning with Two Sites of Synaptic Integration.

MNIST dataset of handwritten digits – used to train and test a lot of machine learning networks.

Eliminative Materialism, the idea our common sense conception of the mind is false.