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.