Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living AI in future Human-AI symbiotic Society.
I want to set up the BDM_SNN decision-making neural network package. I have installed braincog and run the BDM_SNN.py file, but the BDM_SNN network isn’t learning. This means that, even after running the neural network multiple times, the distance the agent travels doesn’t improve. Can you help me figure out what the problem might be and how I can get the neural network to learn?
I want to set up the BDM_SNN decision-making neural network package. I have installed braincog and run the BDM_SNN.py file, but the BDM_SNN network isn’t learning. This means that, even after running the neural network multiple times, the distance the agent travels doesn’t improve. Can you help me figure out what the problem might be and how I can get the neural network to learn?