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computational neuroscience
Trends
- 1EPFL neural chip decodes how brain regions interact●Neural chip decodes interactions between brain regions
Researchers at EPFL have developed a neural chip capable of decoding interactions between different brain regions in real time. The device could advance understanding of how areas of the brain communicate, with potential applications in neuroscience research and treatments for neurological disorders. The work is drawing attention in the tech community as an example of hardware engineered specifically for brain-signal processing.
- 2Simons Foundation launches brain energy research collaboration▼Simons Foundation Launches Collaboration To Uncover How Energy Shapes Brain Computation
The Simons Foundation has announced a new scientific collaboration aimed at understanding how energy constraints shape computation in the brain. The initiative will bring together researchers to study the relationship between metabolic costs and neural information processing, a growing area at the intersection of neuroscience and physics. Details of funding levels and participating institutions were not given in the announcement.
- 3Stanford launches Digital Brain Project to model the human brain●Stanford Digital Brain Project to model the human brain
Stanford University has announced the Stanford Digital Brain Project, an initiative aiming to create a digital model of the human brain. Details on funding, partners or timelines have not been released beyond the announcement. The project, if successful, could give researchers a new tool for studying how the brain works and for testing ideas about neurological disease computationally rather than experimentally.