Inhibition Mechanism

Inhibition mechanisms, encompassing the processes by which activity is suppressed in biological or artificial systems, are a central focus of current research across diverse fields. Studies explore inhibition's role in neural networks, using models like spiking neural networks and random Boolean networks to understand how excitatory and inhibitory balances shape network dynamics and performance, as well as in drug discovery, where identifying and designing inhibitors for specific targets is crucial. This research is significant for advancing our understanding of fundamental biological processes and for developing improved technologies in areas such as neuromorphic computing and drug development.