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
Manifestantes argentinos denuncian el recorte al financiamiento científico
Manifestantes alrededor del país exigieron al gobierno que aumente los salarios de las universidades públicas y el financiamiento para la investigación científica.
Manifestantes argentinos denuncian el recorte al financiamiento científico
Manifestantes alrededor del país exigieron al gobierno que aumente los salarios de las universidades públicas y el financiamiento para la investigación científica.
Outside influences on CHD8 variant phenotypes, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 18 May.
Outside influences on CHD8 variant phenotypes, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 18 May.
Reforming neuroscience graduate education for—and with—AI
In disrupting the status quo, artificial intelligence can help us critically reassess and redefine what neuroscience graduate training should look like—and potentially address long-standing training challenges in novel and innovative ways.
Reforming neuroscience graduate education for—and with—AI
In disrupting the status quo, artificial intelligence can help us critically reassess and redefine what neuroscience graduate training should look like—and potentially address long-standing training challenges in novel and innovative ways.