Computational neuroscience

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This series examines the latest advances and insights on the intersection between neuroscience and AI.

Tatiana Engel explains how to connect high-dimensional neural circuitry with low-dimensional cognitive functions

Neuroscientists have long sought to understand the relationship between structure and function in the vast connectivity and activity patterns in the brain. Engel discusses her modeling approach to discovering the hidden patterns that connect the two.

By Paul Middlebrooks
3 December 2025 | 1 min read
Illustration of a group of neurons.

This paper changed my life: Nancy Padilla-Coreano on learning the value of population coding

The 2013 Nature paper by Mattia Rigotti and his colleagues revealed how mixed selectivity neurons—cells that are not selectively tuned to a stimulus—play a key role in cognition.

By Nancy Padilla-Coreano
1 December 2025 | 5 min read
Two hands hold a paper airplane.

How will neuroscience training need to change in the future?

Training in computational neuroscience, data science and statistics will need to expand, say many of the scientists we surveyed. But that must be balanced with a more traditional grounding in the scientific method and critical thinking. Researchers noted that funding concerns will also affect training, especially for people from underrepresented groups.

By The Transmitter
15 November 2025 | 11 min read
Two bouncing balls.

What are the fastest-growing areas in neuroscience?

Respondents pointed to computational neuroscience, systems neuroscience, neuroimmunology and neuroimaging, among other subfields.

By The Transmitter
15 November 2025 | 6 min read
Illustration of a series of floating pools of water overflowing into each other.

The missing half of the neurodynamical systems theory

Bifurcations—an underexplored concept in neuroscience—can help explain how small differences in neural circuits give rise to entirely novel functions.

By Xiao-Jing Wang
27 October 2025 | 8 min read

Explore more from The Transmitter

Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience

Machine learning should not be a replacement for human judgment but rather help us embrace the various assumptions and interpretations that shape behavioral research.

By Nedah Nemati, Matthew Whiteway
3 December 2025 | 7 min read
A see-through human brain with circuits inside it.

‘Wired for Words: The Neural Architecture of Language,’ an excerpt

In his new book, Hickok provides a detailed overview of the research into the circuits that control speech and language. In this excerpt from Chapter 5, he shares how meeting his colleague David Poeppel led to them developing the theory for bilateral speech perception.

By Gregory Hickok
2 December 2025 | 8 min read

Plumbing the link between anti-CASPR2 antibodies and autism; and more

Here is a roundup of autism-related news and research spotted around the web for the week of 1 December.

By Jill Adams
2 December 2025 | 1 min read

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