Artificial neural networks
Recent articles
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.
Kim Stachenfeld on the dance between neuroscience and artificial intelligence
As a researcher at both Google DeepMind and Columbia University, Stachenfeld offers cross-disciplinary insight into how to understand the brain.
Kim Stachenfeld on the dance between neuroscience and artificial intelligence
As a researcher at both Google DeepMind and Columbia University, Stachenfeld offers cross-disciplinary insight into how to understand the brain.
Explore more from The Transmitter
Nuclear location helps control gene activity during brain development
A study of developing human brain tissue suggests that genes switch on more strongly when they move from the nucleus’s edge toward structures that contain proteins involved in making and processing RNA.
Nuclear location helps control gene activity during brain development
A study of developing human brain tissue suggests that genes switch on more strongly when they move from the nucleus’s edge toward structures that contain proteins involved in making and processing RNA.
Five-year-old human brain organoids aged on schedule
The cultured spheres typically mimic only prenatal development, but the five-year-old ones grown in Paola Arlotta’s lab acquired postnatal features.
Five-year-old human brain organoids aged on schedule
The cultured spheres typically mimic only prenatal development, but the five-year-old ones grown in Paola Arlotta’s lab acquired postnatal features.
Marco Facchin explores the ever-shifting landscape of neuroscience theory and philosophy
Computational explanations of cognition, though powerful, aren't the only game in town.
Marco Facchin explores the ever-shifting landscape of neuroscience theory and philosophy
Computational explanations of cognition, though powerful, aren't the only game in town.