Information processing
Recent articles
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.
Explore more from The Transmitter
What can AI teach us about ‘emotions’?
Exploring why Anthropic’s AI, Claude, displays something like emotion could ultimately help us better understand the function that emotions serve in humans.
What can AI teach us about ‘emotions’?
Exploring why Anthropic’s AI, Claude, displays something like emotion could ultimately help us better understand the function that emotions serve in humans.
Argentine protesters condemn science funding shortfall
Demonstrators across the country called for the government to increase public university salaries and funding for scientific research.
Argentine protesters condemn science funding shortfall
Demonstrators across the country called for the government to increase public university salaries and funding for scientific research.
This paper changed my life: Appreciating John Hopfield’s brilliant neural network
In a 1982 paper, the Nobel laureate created his namesake recurrent neural network—work that taught Maria Geffen to always ground research questions in biology.
This paper changed my life: Appreciating John Hopfield’s brilliant neural network
In a 1982 paper, the Nobel laureate created his namesake recurrent neural network—work that taught Maria Geffen to always ground research questions in biology.