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
A consensus on the definition of profound autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 5 July.
A consensus on the definition of profound autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 5 July.
‘Completely new learning mechanism’ drives navigation in fruit flies
The neuromodulator octopamine, the insect counterpart to norepinephrine, helps flies get their bearings in an unfamiliar environment.
‘Completely new learning mechanism’ drives navigation in fruit flies
The neuromodulator octopamine, the insect counterpart to norepinephrine, helps flies get their bearings in an unfamiliar environment.
How to use artificial intelligence to strengthen scientific processes and scholarly output
As AI-driven systems are integrated into all aspects of science, we need to make sure that they read and write to a shared data and knowledge space.
How to use artificial intelligence to strengthen scientific processes and scholarly output
As AI-driven systems are integrated into all aspects of science, we need to make sure that they read and write to a shared data and knowledge space.