Computation
Recent articles
Reverse engineering neural circuits; success stories from computational neuroscience
Kevin Mitchell talks with Timothy Behrens about ring attractors, the role of innate structure, and an expanded view of cognitive maps.
Reverse engineering neural circuits; success stories from computational neuroscience
Kevin Mitchell talks with Timothy Behrens about ring attractors, the role of innate structure, and an expanded view of cognitive maps.
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
Finding neuroheterogeneity’s sweet spot
Once thought to be detrimental to memory processing, neuronal diversity—at the right ‘Goldilocks’ dose—is a new boon to theoretical neuroscience.
Finding neuroheterogeneity’s sweet spot
Once thought to be detrimental to memory processing, neuronal diversity—at the right ‘Goldilocks’ dose—is a new boon to theoretical neuroscience.
COVID-19 and influenza effects in pregnancy; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 October.
COVID-19 and influenza effects in pregnancy; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 October.
What to do when traditional mechanistic approaches no longer work
Many complex behaviors have stubbornly resisted mechanistic explanations. Deciphering them will require new approaches—and perhaps a new concept of “understanding.”
What to do when traditional mechanistic approaches no longer work
Many complex behaviors have stubbornly resisted mechanistic explanations. Deciphering them will require new approaches—and perhaps a new concept of “understanding.”