Surrogate modeling [Theme: BrainFrame, Brain Dynamics]

Surrogate Model - Arize Docs

Complex brain simulations with Spiking Neural Networks (SNNs) demand vast computational resources. We have previously leveraged GPUs and FPGA/Dataflow systems and are now focusing on Artificial Neural Networks (ANNs) as surrogate models. Key research areas in this umbrella topic include:

– Transfer & Meta-Learning: Rapidly fine-tuning ANNs for new SNN architectures.

– Dynamic Surrogates: Crafting adaptive ANNs for desired accuracy levels.

– Optimization: Exploring techniques to boost ANN performance.

– Hybrid Training: Developing tools for on-the-fly data generation and training on GPUs or FPGAs.

Job Category: MSc Thesis topic
Job Type: Student Thesis

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