Computation
Recent articles
David Krakauer reflects on the foundations and future of complexity science
In his book “The Complex World,” Krakauer explores how complexity science developed, from its early roots to the four pillars that now define it—entropy, evolution, dynamics and computation.
David Krakauer reflects on the foundations and future of complexity science
In his book “The Complex World,” Krakauer explores how complexity science developed, from its early roots to the four pillars that now define it—entropy, evolution, dynamics and computation.
Future watch: What should neuroscience prioritize during the next 10 to 20 years?
For The Transmitter’s first annual book, five contributing editors reflect on what subfields demand greater focus in the near future—from dynamical systems and computation to technologies for studying the human brain.
Future watch: What should neuroscience prioritize during the next 10 to 20 years?
For The Transmitter’s first annual book, five contributing editors reflect on what subfields demand greater focus in the near future—from dynamical systems and computation to technologies for studying the human brain.
Explaining ‘the largest unexplained number in brain science’: Q&A with Markus Meister and Jieyu Zheng
The human brain takes in sensory information roughly 100 million times faster than it can respond. Neuroscientists need to explore this perceptual paradox to better understand the limits of the brain, Meister and Zheng say.
Explaining ‘the largest unexplained number in brain science’: Q&A with Markus Meister and Jieyu Zheng
The human brain takes in sensory information roughly 100 million times faster than it can respond. Neuroscientists need to explore this perceptual paradox to better understand the limits of the brain, Meister and Zheng say.
Hessameddin Akhlaghpour outlines how RNA may implement universal computation
Could the brain’s computational abilities extend beyond neural networks to molecular mechanisms? Akhlaghpour describes how natural universal computation may have evolved via RNA mechanisms.
Hessameddin Akhlaghpour outlines how RNA may implement universal computation
Could the brain’s computational abilities extend beyond neural networks to molecular mechanisms? Akhlaghpour describes how natural universal computation may have evolved via RNA mechanisms.
Explore more from The Transmitter
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.
Common and rare variants shape distinct genetic architecture of autism in African Americans
Certain gene variants may have greater weight in determining autism likelihood for some populations, a new study shows.
Common and rare variants shape distinct genetic architecture of autism in African Americans
Certain gene variants may have greater weight in determining autism likelihood for some populations, a new study shows.