Inhibitory Neuron

Inhibitory neurons, a crucial component of neural circuits, play a vital role in shaping neural activity and learning by counterbalancing excitation. Current research focuses on understanding their contribution to network robustness, particularly through the investigation of biologically-inspired network architectures and learning rules that incorporate both excitatory and inhibitory interactions, including the use of deep learning models for classifying neuron types and analyzing their electrophysiological properties. This research is significant for advancing our understanding of brain function, improving the design of artificial neural networks, and potentially leading to more efficient and robust AI systems.