Spike-Based Learning

Spike-Based Learning is a process inspired by how the brain learns through neuron activity. Instead of traditional gradual learning, it focuses on the timing of neuron "spikes" or bursts of electrical activity. When neurons fire together in response to stimuli, they strengthen their connections over time, which enhances learning and memory. This mechanism allows for more efficient processing of information, improving tasks like pattern recognition and decision-making. Essentially, Spike-Based Learning mimics the brain’s dynamic way of adapting and changing based on experiences, offering insights into creating more efficient artificial intelligence systems.