Computational neuroscience
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The best of ‘this paper changed my life’ in 2025
From a study that upended astrocyte research to one that reignited the field of spiking neural networks, experts weighed in on the papers that significantly shaped how they think about and approach neuroscience.
The best of ‘this paper changed my life’ in 2025
From a study that upended astrocyte research to one that reignited the field of spiking neural networks, experts weighed in on the papers that significantly shaped how they think about and approach neuroscience.
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.
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.
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.
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.
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.
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.
What are the fastest-growing areas in neuroscience?
Respondents pointed to computational neuroscience, systems neuroscience, neuroimmunology and neuroimaging, among other subfields.
What are the fastest-growing areas in neuroscience?
Respondents pointed to computational neuroscience, systems neuroscience, neuroimmunology and neuroimaging, among other subfields.
Explore more from The Transmitter
The Transmitter’s most-read neuroscience book excerpts of 2025
Books by Nachum Ulanovsky, Nicole Rust, and Andrew Iwaniuk and Georg Striedter made the list of some of the year's most engaging neuroscience titles.
The Transmitter’s most-read neuroscience book excerpts of 2025
Books by Nachum Ulanovsky, Nicole Rust, and Andrew Iwaniuk and Georg Striedter made the list of some of the year's most engaging neuroscience titles.
Neuroscience’s leaders, legacies and rising stars of 2025
Here are seven stories from the past year about some of the field’s most engaging figures.
Neuroscience’s leaders, legacies and rising stars of 2025
Here are seven stories from the past year about some of the field’s most engaging figures.
The Transmitter’s top news articles of 2025
Check out some of our most-read stories, covering neuroscience funding and policy changes in the United States, and methodological issues in high-profile neuroscience papers.
The Transmitter’s top news articles of 2025
Check out some of our most-read stories, covering neuroscience funding and policy changes in the United States, and methodological issues in high-profile neuroscience papers.