Ariel Davis
Illustrator
From this contributor
New questions around motor neurons and plasticity
A researcher’s theory hangs muscle degeneration on a broken neural circuit.
New questions around motor neurons and plasticity
Should neuroscientists ‘vibe code’?
Researchers are developing software entirely through natural language conversations with advanced large language models. The trend is transforming how research gets done—but it also presents new challenges for evaluating the outcomes.
Should neuroscientists ‘vibe code’?
Computational and systems neuroscience needs development
Embracing recent advances in developmental biology can drive a new wave of innovation.
Computational and systems neuroscience needs development
Experimentalists versus modelers — whose work has more lasting impact?
My informal analysis of some of neuroscience’s most cited papers from 1999 explores what drives scientific durability.
Experimentalists versus modelers — whose work has more lasting impact?
Name this network: Addressing huge inconsistencies across studies
Entrenched practices have stymied efforts to build a universal taxonomy of functional brain networks. But a new tool to standardize brain-imaging findings could bring us a step closer.
Name this network: Addressing huge inconsistencies across studies
Explore more from The Transmitter
Commentary: Citation graphs may underestimate neuroscience’s influence on AI
An alternative, albeit less quantitative, way to trace this history is through the people who carried ideas between the fields.
Commentary: Citation graphs may underestimate neuroscience’s influence on AI
An alternative, albeit less quantitative, way to trace this history is through the people who carried ideas between the fields.
Commentary: The rising absolute number of neuro-inspired AI papers represents a substantial footprint
Many of the design choices present in the current generation of artificial-intelligence tools parallel purported properties of the brain.
Commentary: The rising absolute number of neuro-inspired AI papers represents a substantial footprint
Many of the design choices present in the current generation of artificial-intelligence tools parallel purported properties of the brain.
Examining the bridge between neuroscience and AI
A citation analysis reveals that the connection between the two fields is real and gaining momentum. But it’s also narrow and tool-heavy; we need to find ways to widen it.
Examining the bridge between neuroscience and AI
A citation analysis reveals that the connection between the two fields is real and gaining momentum. But it’s also narrow and tool-heavy; we need to find ways to widen it.