Objectives of the project and expected results:
Throughout this project three emerging scientific fields (neuroscience, electron devices and theory of computation) are effectively coupled to demonstrate experimental platforms with rich internal dynamics that are capable of reproducing the biophysics of biological neural systems. Our approach leverages on the diverse merits arising from the distinct interactions of the individual groups for further developing the supporting scientific foundation, while this project's breakthrough is foreseen to occur through the constructive linking of all three research cores. Essentially, the Holy Grail of the proposed work will be the development of a technological platform that is capable of learning and adapting to different real-world stimuli.
Figure 1: Research cores and interdisciplinary interactions
This will provide the means to study the processing and encoding of spatio-temporal information in neuro-synaptic networks, to advance the current state-of-theart in computation and lead to breakthroughs in emerging applications on healthcare and automation. The anticipated interactions between the relavant disciplines are shown in Figure 1 and are listed in the following:
- Development of biophysically mimetic synapses (Memristor-based) and neurons (CMOS-based circuitry)
- Modelling and implementation of neural circuits
- Development and establishment of novel brain-inspired computational principles
- Optimisation of device and computational models
- Practical system-level application of novel computational algorithms
- Set-up of real-time experiments and benchmarks
- Development of system-level hybrid CMOS/Memristor platform to demonstrate autonomous behaviour.