Attractor Networks, (A bit of) Computational Neuroscience Part III

attractor landscape

Brains are comprised of networks of neurons connected by synapses, and these networks have greater computational properties than the neurons and synapses themselves. In this post, I am going to talk about a class of neural networks which I think are fascinating: attractor networks. These are recurrent neural networks with attractor states; these states and … Continue reading “Attractor Networks, (A bit of) Computational Neuroscience Part III”