Topic: dreaming

Investigate the computational principles of dreaming in Louis Kang’s Neural Circuits and Computations Unit at RIKEN Center for Brain Science. Research combines biological neural-network models, machine learning and neural-data analysis, addressing how circuits generate dreams, what dream computations contribute to biological systems, and whether they can inspire artificial models. The project collaborates with experimental groups across animal species through the Scientific Dream Interpretation initiative. The role is based at RIKEN’s Wako campus and normally requires on-site work. A one-year

The brain represents the external world through the bottleneck of sensory organs. The network of hierarchically organized neurons is thought to recover the causes of sensory inputs to reconstruct the reality in the brain in idiosyncratic ways depending on individuals and their internal states. How can we understand the world model represented in an individual’s brain, or the neuroverse? My lab has been working on brain decoding of visual perception and subjective experiences such as imagery and dreaming using machine learning and deep neural network representations. In this talk, I will outlin