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
New findings begin to resolve theta sweep debate
Theta sweeps have been mired in controversy for decades, but the field is starting to converge on a consensus view of their function.
New findings begin to resolve theta sweep debate
Theta sweeps have been mired in controversy for decades, but the field is starting to converge on a consensus view of their function.
Reverse engineering neural circuits; success stories from computational neuroscience
Kevin Mitchell talks with Timothy Behrens about ring attractors, the role of innate structure, and an expanded view of cognitive maps.
Reverse engineering neural circuits; success stories from computational neuroscience
Kevin Mitchell talks with Timothy Behrens about ring attractors, the role of innate structure, and an expanded view of cognitive maps.
Alison Barth discovers how different neuron types contribute to cortical function
Barth uses learning tasks in mice as a tool to drive synaptic plasticity in the sensory cortex, hoping to unlock more general principles of how the cortex works.
Alison Barth discovers how different neuron types contribute to cortical function
Barth uses learning tasks in mice as a tool to drive synaptic plasticity in the sensory cortex, hoping to unlock more general principles of how the cortex works.