Category: cognitive science

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

Posted on by Jack Terwilliger
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”

Synapses, (A Bit of) Biological Neural Networks – Part II

Posted on by Jack Terwilliger
pyrimidal neurons

Synapses are the couplings between neurons, allowing signals to pass from one neuron to another. However, synapses are much more than mere relays: they play an important role in neural computation. The ongoing dramas of excitation and inhibition and of synaptic potentiation and depression give rise to your abilities to make decisions, learn, and remember. … Continue reading “Synapses, (A Bit of) Biological Neural Networks – Part II”