Homeostatic plasticity control for spiking neural networks

A method for homeostatic plasticity control in a spiking neural network comprising:

• receiving, at a neuron of a core of the spiking neural network, input spike information;
• determining whether to activate an output spike at the neuron based at least in part on the input spike information and a bias value, the bias value set based on whether the neuron issued a previous output spike during a previous time period and the bias value being an intrinsic property of the neuron that adjusts a membrane potential over which the output spike is produced;
• and
• updating the bias value based on whether the output spike was activated at the neuron, wherein:
• in accordance with a determination to activate the output spike, the bias value is decreased;
• and
• in accordance with a determination to not activate the output spike, the bias value is increased.

At least one non-transitory machine readable medium including instructions for homeostatic plasticity control in a spiking neural network, wherein the instructions, when executed by neuro-processing circuitry, configure the neuro-processing circuitry to perform operations to:

• receive input spike information;
• determine whether to activate an output spike at the neuron based at least in part on the input spike information and a bias value, the bias value set based on whether the neuron issued a previous output spike during a previous time period and the bias value being an intrinsic property of the neuron that adjusts a membrane potential over which the output spike is produced;
• and
• update the bias value based on whether the output spike was activated at the neuron, wherein:
• in accordance with a determination to activate the output spike, the bias value is decreased;
• and
• in accordance with a determination to not activate the output spike, the bias value is increased.