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Attractor Metadynamics in Adapting Neural Networks
[chapter]
2014
Lecture Notes in Computer Science
Slow adaption processes, like synaptic and intrinsic plasticity, abound in the brain and shape the landscape for the neural dynamics occurring on substantially faster timescales. At any given time the network is characterized by a set of internal parameters, which are adapting continuously, albeit slowly. This set of parameters defines the number and the location of the respective adiabatic attractors. The slow evolution of network parameters hence induces an evolving attractor landscape, a
doi:10.1007/978-3-319-11179-7_9
fatcat:rv6ow5jkvzae7c4kxnyvk26bee