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”

(A Bit of) Biological Neural Networks – Part I, Spiking Neurons

Neurons are cells — small bodies of mostly water, ions, amino acids and proteins with remarkable electrochemical properties. They are the primary functional units of the brain. Our mental experiences — our perceptions, memories, and thoughts — are the result of the ebb and flow of salts across neural bi-lipid membranes and the synaptic transmissions … Continue reading “(A Bit of) Biological Neural Networks – Part I, Spiking Neurons”