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.
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Johannes Jaeger explains why we should care that brains and AI are not the same
From single cells to whole organisms, living beings must continuously regenerate themselves and judge what's important to continue living. Artificial intelligence does not and cannot.
Johannes Jaeger explains why we should care that brains and AI are not the same
From single cells to whole organisms, living beings must continuously regenerate themselves and judge what's important to continue living. Artificial intelligence does not and cannot.
What mosquitos lay bare about proprioception
By comparing the proprioceptive systems of mosquitos and fruit flies, Sweta Agrawal aims to uncover fundamental features of the ability to sense self-movement.
What mosquitos lay bare about proprioception
By comparing the proprioceptive systems of mosquitos and fruit flies, Sweta Agrawal aims to uncover fundamental features of the ability to sense self-movement.
Recording warning: Common brain signal may be misunderstood
High gamma activity in electrophysiologic recordings reflects widespread neural activity, not merely local firing, as previously thought.
Recording warning: Common brain signal may be misunderstood
High gamma activity in electrophysiologic recordings reflects widespread neural activity, not merely local firing, as previously thought.