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neuroscience
Trends
- 1Stanford Medicine says human brain is two organs●Stanford Medicine reveals human brain is two organs
Stanford Medicine is reported to have revealed that the human brain functions as two distinct organs rather than a single one. The claim, picked up by the news outlet KRON 4, is drawing wide attention and debate about what the finding means for neuroscience and medicine.
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A new study reports that autism is linked to two opposing molecular patterns in the brain, suggesting distinct biological signatures rather than a single underlying profile. Researchers say the findings could help explain the wide variation in how autism presents and point toward more targeted avenues for future research. Coverage of the study is drawing attention from scientists and readers following developments in neuroscience and autism research.
- 3Precision Neuroscience Raises $250 Million for Brain-Computer Interfaces●Precision Neuroscience Raises $250 Million Series D To Advance Brain-Computer Interface Technology
Brain-computer interface startup Precision Neuroscience has raised $250 million in a Series D funding round. The company, co-founded by a Neuralink alumnus, is developing thin-film implants designed to help paralyzed patients communicate and control devices, and the new capital will fund commercialization efforts and expansion of its minimally invasive technology.
- 4Study finds the human brain is two separate organs●The human brain is two separate organs, study finds
A Stanford study argues that the human brain should be understood as two separate organs rather than a single unified structure, challenging long-held assumptions in neuroscience. The finding is drawing attention among science readers, with discussion centered on what it means for how brain function, development and disorders are studied going forward.
- 5Slime Molds Fuel Debate Over What Counts as Intelligence▼Slime Molds and the Growing Science Controversy Around “Intelligence”
Single-celled slime molds, which lack brains yet can solve mazes, optimize networks, and learn simple patterns, are at the center of a growing scientific dispute over how intelligence should be defined. Researchers disagree on whether such abilities reflect genuine cognition or simpler biological processes, a question with implications for neuroscience, philosophy, and artificial intelligence.