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

attractor landscape

Brains are comprised of networks of neurons connected by synapses — of course, there is a lot more to it than that, but this captures some of the essence of the brain.  A nice property of networks of neurons is that they have greater computational properties than the neurons and synapses themselves. In this post, … Continue reading “Attractor Networks, (A bit of) Computational Neuroscience Part III”

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

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”

(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”