Mental Imagery

Mental imagery research explores how the brain generates and manipulates internal representations of sensory experiences, focusing on understanding the neural mechanisms underlying this process and its role in cognition. Current research utilizes fMRI data and deep learning models, including convolutional and recurrent neural networks, to decode mental imagery from brain activity and to improve the visual reasoning capabilities of AI systems. These advancements have implications for brain-computer interfaces, improving the understanding of cognitive processes, and enhancing human-computer interaction through applications like augmented reality and assistive technologies. The development of robust methods for both generating and interpreting mental imagery promises significant contributions to neuroscience and artificial intelligence.