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Continous Attractor Neural Network

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I have a class of brain devkit DYNAPCNN, and I want to implement a Continous Attractor Neural Network(CANN), which consists of 180 LIF neurons, each connected to other neurons, and the weights for defining synaptic connections follow a Gaussian distribution. However, I cannot find any way to implement it on this development board. I hope everyone can provide suggestions. Thanks a lot!!

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Hi @wcx12306, LIF neurons and recurrent networks are not supported on DYNAP-CNN or Speck. Only convolutional architectures are supported on these cores.

Our Xylo processor devices support LIF and recurrent connectivity.

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