The Transmitter: Neuroscience News and Perspectives
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The challenge of defining a neural population

Oxytocin prompts prairie voles to oust outsiders, fortifying their friendships
Today’s action potentials
”We wouldn’t define a population of people by counting every person you happened to spot while looking down on a city block from a helicopter, but that’s how we do it for neurons. — MARK HUMPHRIES, CHAIR IN COMPUTATIONAL NEUROSCIENCE, UNIVERSITY OF NOTTINGHAM
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The Systems Vision Science Summer School & Symposium, A…
The Systems Vision Science Summer School & Symposium, A…
The Systems Vision Science Summer School & Symposium, A…
The Systems Vision Science Summer School & Symposium, A…
The Systems Vision Science Summer School & Symposium, A…

Neural population-based approaches have opened new windows into neural computations and behavior

Babies, bees and bots: On the hunt for markers of consciousness

What U.S. science stands to lose without international graduate students and postdoctoral researchers

How to build a truly global computational neuroscience community

Contested paper on vaccines, autism in rats retracted by journal


Quantifying funding sources across neuroscience labs

Fear and loathing on study section: Reviewing grant proposals while the system is burning

NIH cuts quash $323 million for neuroscience research and training

NIH autism database announcement raises concerns among researchers

Sounding the alarm on pseudoreplication: Q&A with Constantinos Eleftheriou and Peter Kind

On the importance of reading (just not too much)

Cephalopods, vision’s next frontier
For decades, scientists have been teased by the strange but inaccessible cephalopod visual system. Now, thanks to a technological breakthrough from a lab in Oregon, data are finally coming straight from the octopus brain.

The last two-author neuroscience paper?
Author lists on papers have ballooned, and it’s getting hard to discern contribution.

Why the 21st-century neuroscientist needs to be neuroethically engaged

Thinking about thinking: AI offers theoretical insights into human memory

Keeping it personal: How to preserve your voice when using AI

From bench to bot: How important is prompt engineering?

From bench to bot: Does AI really make you a more efficient writer?

The big idea with Diego Bohórquez
His theories around the neuropod have challenged the boundaries of classic ideas regarding gut-brain communication.

Neuroscientist Gerry Fischbach, in his own words

Amina Abubakar translates autism research and care for Kenya

Neuroscience’s open-data revolution is just getting started

To keep or not to keep: Neurophysiology’s data dilemma

The S-index Challenge: Develop a metric to quantify data-sharing success

A README for open neuroscience

‘Bird Brains and Behavior,’ an excerpt

‘Elusive Cures: Why Neuroscience Hasn’t Solved Brain Disorders—and How We Can Change That,’ an excerpt

‘Natural Neuroscience: Toward a Systems Neuroscience of Natural Behaviors,’ an excerpt

Accepting “the bitter lesson” and embracing the brain’s complexity
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.

What makes memories last—dynamic ensembles or static synapses?
Teasing out how different subfields conceptualize central terms might help move this long-standing debate forward. I asked eight scientists to weigh in.