CogniGraph – describe a scenario, LLM picks a brain lobe and neuromodulator (github.com)

CogniGraph has launched an innovative educational demo that allows users to describe real-world scenarios, after which an LLM identifies the corresponding brain lobe and neuromodulator involved. This process triggers a simulation using a Brian2 spiking neural network, with results visualized on a 3D model of the brain. The web-based interface includes features such as scenario input, playback controls, and a neural activation viewer while emphasizing that the output is for educational visualization rather than medical diagnosis or treatment. The significance of CogniGraph lies in its integration of natural language processing with neuroscience education, offering a unique tool for understanding brain function and neuromodulation. By leveraging spiking neural networks and advanced visualization techniques, it provides a hands-on learning experience that can deepen comprehension of complex neurological topics. With a user-friendly API and options for personalized settings, CogniGraph is positioned to engage both educators and learners, marking a step forward in bridging AI and neuroscience for instructional purposes.