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Showing 1 to 2 of 2 for “"Chaotic networks"”.
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Learning and memory in chaotic spiking neural models
… tasks. This has been done in the context of chaotic spiking neural networks (CSNNs). Chaos provides many interesting properties that can be used to achieve computational tasks. Such properties are sensitivity to initial conditions, space filling, control and synchronization. Biological …
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Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations
… that many of their neural populations are chaotic. This means that very small amounts of noise, such as an additional action potential in a neuron of a network, can lead to completely different patterns of activity. Reservoir computing is one of the first frameworks that provided an …