Discusses assembling neural networks by defining space and populating it with neurons, emphasizing the challenges and strategies for accurate morphologies and volume information.
Explores the synergy between machine learning and neuroscience, showcasing how deep neural networks can predict neural responses and the challenges faced by AI in robotics.
Delves into quantifying entropy in neuroscience data, exploring how neuron activity represents sensory information and the implications of binary digit sequences.
Explores neuroprostheses for sensory systems, including auditory, vestibular, vision, and tactile applications, addressing the challenges of artificial vision.
Explores the development of WiseSkin, a sensory skin technology with soft tactile sensors and potential applications in prosthetics and rehabilitation.
