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
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.