Methods
Recent articles
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’?
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.
The challenge of defining a neural population
Our current approach is largely arbitrary. We need new methods for grouping cells, ideally by their dynamics.

The challenge of defining a neural population
Our current approach is largely arbitrary. We need new methods for grouping cells, ideally by their dynamics.
Neural population-based approaches have opened new windows into neural computations and behavior
Neural manifold properties can help us understand how animal brains deal with complex information, execute flexible behaviors and reuse common computations.

Neural population-based approaches have opened new windows into neural computations and behavior
Neural manifold properties can help us understand how animal brains deal with complex information, execute flexible behaviors and reuse common computations.
New dopamine sensor powers three-color imaging in live animals
The tool leverages a previously unused segment of the color spectrum to track the neurotransmitter and can be used with two additional sensors to monitor other neurochemicals at different wavelengths.

New dopamine sensor powers three-color imaging in live animals
The tool leverages a previously unused segment of the color spectrum to track the neurotransmitter and can be used with two additional sensors to monitor other neurochemicals at different wavelengths.
FlyBase funding squashed amid Harvard grant terminations
The team behind the Drosophila genetics database is now requesting donations from labs to keep the resource afloat.

FlyBase funding squashed amid Harvard grant terminations
The team behind the Drosophila genetics database is now requesting donations from labs to keep the resource afloat.
To understand the brain as a network organ, we must image cortical layers
Human neuroscience research has largely overlooked this spatial scale—which bridges cells and brain areas. But new advances in functional MRI technology are changing that.

To understand the brain as a network organ, we must image cortical layers
Human neuroscience research has largely overlooked this spatial scale—which bridges cells and brain areas. But new advances in functional MRI technology are changing that.
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.

Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Basic pain research ‘is not working’: Q&A with Steven Prescott and Stéphanie Ratté
Prescott and Ratté critique the clinical relevance of preclinical studies in the field and highlight areas for improvement.

Basic pain research ‘is not working’: Q&A with Steven Prescott and Stéphanie Ratté
Prescott and Ratté critique the clinical relevance of preclinical studies in the field and highlight areas for improvement.
Smell studies often use unnaturally high odor concentrations, analysis reveals
It’s time to fashion olfactory neuroscience stimuli based on odor concentrations in the wild, say study investigators Elizabeth Hong and Matt Wachowiak.

Smell studies often use unnaturally high odor concentrations, analysis reveals
It’s time to fashion olfactory neuroscience stimuli based on odor concentrations in the wild, say study investigators Elizabeth Hong and Matt Wachowiak.
New tool may help untangle downstream effects of autism-linked genes
The statistical approach helps scientists better control for both measured and unmeasured confounders in gene-expression data, revealing causal relationships between autism-linked genetic variants and downstream cellular effects, such as impaired neuron development.

New tool may help untangle downstream effects of autism-linked genes
The statistical approach helps scientists better control for both measured and unmeasured confounders in gene-expression data, revealing causal relationships between autism-linked genetic variants and downstream cellular effects, such as impaired neuron development.
Explore more from The Transmitter
Worms help untangle brain structure/function mystery
The synaptic connectome of most animals bears little resemblance to functional brain maps, but it can still predict neuronal activity, according to two preprints that tackle the puzzle in C. elegans.

Worms help untangle brain structure/function mystery
The synaptic connectome of most animals bears little resemblance to functional brain maps, but it can still predict neuronal activity, according to two preprints that tackle the puzzle in C. elegans.
Microglia nurture young interneurons
The immune cells secrete a growth factor that “sets the supply of GABAergic interneurons in the developing brain.”

Microglia nurture young interneurons
The immune cells secrete a growth factor that “sets the supply of GABAergic interneurons in the developing brain.”
Xaq Pitkow shares his principles for studying cognition in our imperfect brains and bodies
Pitkow discusses how evolution's messy constraints shape optimal brain algorithms, from Bayesian inference to ecological affordances.
Xaq Pitkow shares his principles for studying cognition in our imperfect brains and bodies
Pitkow discusses how evolution's messy constraints shape optimal brain algorithms, from Bayesian inference to ecological affordances.