Sensory Input

Sensory input research focuses on understanding how organisms and machines process information from various modalities (vision, touch, sound, etc.) to perceive and interact with their environment. Current research emphasizes multimodal fusion techniques, often employing deep learning architectures like transformers and spiking neural networks, to improve the robustness and efficiency of sensory processing in both biological and artificial systems. This field is crucial for advancing artificial intelligence, robotics, and assistive technologies, as well as for deepening our understanding of biological sensory systems and their role in cognition and behavior. Improved sensory processing has significant implications for applications ranging from autonomous navigation to medical diagnosis and human-computer interaction.