Global and local time-step determination schemes for neural networks

A non-transitory machine readable storage medium having instructions stored thereon, the instructions when executed by a machine to cause the machine to:

• implement a plurality of neural units of a neural network in a first neuromorphic core;
• store a current time-step of the first neuromorphic core;
• track current time-steps of neighboring neuromorphic cores that receive spikes from or provide spikes to the first neuromorphic core;
• and
• control the current time-step of the first neuromorphic core based on the current time-steps of the neighboring neuromorphic cores.

A method comprising:

• implementing a plurality of neural units of a neural network in a first neuromorphic core;
• storing a current time-step of the first neuromorphic core;
• tracking current time-steps of neighboring neuromorphic cores that receive spikes from or provide spikes to the first neuromorphic core;
• and
• controlling the current time-step of the first neuromorphic core based on the current time-steps of the neighboring neuromorphic cores.