Systems neuroscience

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Research image showing dopamine level spikes.

Reward-learning algorithm hardwired into dopamine circuit

The finding bolsters the canonical model of reward prediction error, which has come under scrutiny in recent years.

By Natalia Mesa
5 June 2026 | 5 min read
Neural networks illustration.

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.

By Maria Geffen
15 May 2026 | 5 min read

Long-sought walking circuit found in fruit flies

The neuronal circuit controlling repetitive locomotion patterns in any animal has been a mystery until now.

By Natalia Mesa
13 May 2026 | 0 min watch
Researcher hands and mice navigate a series of connected spaces and paths.

To understand decision-making, we need to truly challenge lab animals

Complex, multidimensional tasks that unfold over time could reveal how different brain areas work together to support decisions.

By Chand Chandrasekaran
20 April 2026 | 6 min read
A fragmenting cube hovers over a person reading a book.

Error equation predicts brain’s ability to generalize

Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.

By Natalia Mesa
10 April 2026 | 5 min read

Explore more from The Transmitter

Leucovorin saga, and more

Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.

By Jill Adams
16 June 2026 | 2 min read
Illustration of pixelated AI models.

Models at the speed of thought: How AI coding is reshaping theoretical neuroscience

Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Seven neuroscientists weigh in on what that tectonic change may bring to the field.

By Brian DePasquale
16 June 2026 | 17 min read
Illustration of pixelated eye and stacks of paper

Writing science that humans and machines can read

Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.

By Rachel Parkinson
15 June 2026 | 7 min read