Methods
Recent articles
AI-assisted coding: 10 simple rules to maintain scientific rigor
These guidelines can help researchers ensure the integrity of their work while accelerating progress on important scientific questions.
AI-assisted coding: 10 simple rules to maintain scientific rigor
These guidelines can help researchers ensure the integrity of their work while accelerating progress on important scientific questions.
Seeing the world as animals do: How to leverage generative AI for ecological neuroscience
Generative artificial intelligence will offer a new way to see, simulate and hypothesize about how animals experience their worlds. In doing so, it could help bridge the long-standing gap between neural function and behavior.
Seeing the world as animals do: How to leverage generative AI for ecological neuroscience
Generative artificial intelligence will offer a new way to see, simulate and hypothesize about how animals experience their worlds. In doing so, it could help bridge the long-standing gap between neural function and behavior.
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.
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.
Tracing neuroscience’s family tree to track its growth
By mapping connections among researchers, Neurotree makes it possible to see how the field has evolved and how shifts in lab size, publication rates and training, among other factors, shape its direction.
Tracing neuroscience’s family tree to track its growth
By mapping connections among researchers, Neurotree makes it possible to see how the field has evolved and how shifts in lab size, publication rates and training, among other factors, shape its direction.
Putting 50 years of neuroscience on the map
Navigate the rise and fall of research topics over five decades using our interactive map, which is based on a semantic analysis of nearly 350,000 abstracts in leading neuroscience journals.
Putting 50 years of neuroscience on the map
Navigate the rise and fall of research topics over five decades using our interactive map, which is based on a semantic analysis of nearly 350,000 abstracts in leading neuroscience journals.
The state of neuroscience in 2025: An overview
The Transmitter presents a portrait of the field through four lenses: its focus, its output, its people and its funding.
The state of neuroscience in 2025: An overview
The Transmitter presents a portrait of the field through four lenses: its focus, its output, its people and its funding.
What are the most transformative neuroscience tools and technologies developed in the past five years?
Artificial intelligence and deep-learning methods featured prominently in the survey responses, followed by genetic tools to control circuits, advanced neuroimaging, transcriptomics and various approaches to record brain activity and behavior.
What are the most transformative neuroscience tools and technologies developed in the past five years?
Artificial intelligence and deep-learning methods featured prominently in the survey responses, followed by genetic tools to control circuits, advanced neuroimaging, transcriptomics and various approaches to record brain activity and behavior.
Timing tweak turns trashed fMRI scans into treasure
Leveraging start-up “dummy scans,” which are typically discarded in imaging analyses, can shorten an experiment’s length and make data collection more efficient, a new study reveals.
Timing tweak turns trashed fMRI scans into treasure
Leveraging start-up “dummy scans,” which are typically discarded in imaging analyses, can shorten an experiment’s length and make data collection more efficient, a new study reveals.
A community-designed experiment tests open questions in predictive processing
More than 50 scientists came together to identify the key missing data needed to rigorously test theoretical models.
A community-designed experiment tests open questions in predictive processing
More than 50 scientists came together to identify the key missing data needed to rigorously test theoretical models.
How neuroscientists are using AI
Eight researchers explain how they are using large language models to analyze the literature, brainstorm hypotheses and interact with complex datasets.
How neuroscientists are using AI
Eight researchers explain how they are using large language models to analyze the literature, brainstorm hypotheses and interact with complex datasets.
Explore more from The Transmitter
Glutamate receptors, mRNA transcripts and SYNGAP1; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 December.
Glutamate receptors, mRNA transcripts and SYNGAP1; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 December.
Frameshift: Shari Wiseman reflects on her pivot from science to publishing
As chief editor of Nature Neuroscience, Wiseman applies critical-thinking skills she learned in the lab to manage the journal’s day-to-day operations.
Frameshift: Shari Wiseman reflects on her pivot from science to publishing
As chief editor of Nature Neuroscience, Wiseman applies critical-thinking skills she learned in the lab to manage the journal’s day-to-day operations.
How basic neuroscience has paved the path to new drugs
A growing list of medications—such as zuranolone for postpartum depression, suzetrigine for pain, and the gepants class of migraine medicines—exist because of insights from basic research.
How basic neuroscience has paved the path to new drugs
A growing list of medications—such as zuranolone for postpartum depression, suzetrigine for pain, and the gepants class of migraine medicines—exist because of insights from basic research.