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
Single-neuron recordings zoom into ‘blurry map’ of human motor cortex
The motor cortex is organized into an "intermixed jumble of tiles" to generate meaningful movement.
Single-neuron recordings zoom into ‘blurry map’ of human motor cortex
The motor cortex is organized into an "intermixed jumble of tiles" to generate meaningful movement.
Exclusive: Neuroscience journal editor resigns over automation concerns
The editor resigned after the journal’s artificial-intelligence system overrode his selection of referees for a manuscript. His move prompted an internal review of the system.
Exclusive: Neuroscience journal editor resigns over automation concerns
The editor resigned after the journal’s artificial-intelligence system overrode his selection of referees for a manuscript. His move prompted an internal review of the system.
Are computational complexity principles relevant for explaining brain activity?
Cristopher Moore discusses the nature of computation and whether we should think of neural activity as computing.
Are computational complexity principles relevant for explaining brain activity?
Cristopher Moore discusses the nature of computation and whether we should think of neural activity as computing.