Spike Protein

Spike protein research encompasses a broad range of applications, from understanding neural activity in the brain to developing novel drug therapies and improving the efficiency of artificial neural networks. Current research focuses on developing and optimizing spiking neural networks (SNNs) for various tasks, including image processing, speech recognition, and graph representation learning, often employing techniques like spike-timing-dependent plasticity (STDP) and transformer architectures. These advancements hold significant promise for energy-efficient computing and improved accuracy in diverse fields, particularly in biomedicine (e.g., drug discovery) and robotics (e.g., visual place recognition).