SPIKEFRAME: A framework for learning rules in networks of spiking neural networks

In the project we worked on constructing a framework for the formulation of goal-oriented learning rules for spiking neural networks.

Existing algorithms do not relate to each other, use different terminologies and notations without making connection to each other. We aimed at developing a mathematical and conceptual framework within which goal-oriented learning algorithms which could be formulated clearly and concisely for ease of their application, understanding and generalisation.

This was important for the understanding of how neuron-scale plasticity "conspires" to bring about goal-oriented human and animal learning behaviours at the cognitive and behavioural scale.