Integrating Biology and AI: Enhancing Recurrent Networks of Spiking Neurons for Visual Information

Explore cutting-edge research on integrating biological principles with artificial intelligence to enhance visual information processing in recurrent networks of spiking neurons. Delve into the innovative work conducted at the Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC) in this 43-minute lecture. Discover how researchers are bridging the gap between neuroscience and machine learning to create more efficient and biologically-inspired AI systems for visual tasks. Gain insights into the latest advancements in neural network architectures, spiking neuron models, and their applications in computer vision. Learn about the potential implications of this interdisciplinary approach for developing more robust and adaptable AI systems that mimic the human brain's visual processing capabilities.