Methods
Recent articles
‘Unprecedented’ dorsal root ganglion atlas captures 22 types of human sensory neurons
The atlas also offers up molecular and cellular targets for new pain therapies.
‘Unprecedented’ dorsal root ganglion atlas captures 22 types of human sensory neurons
The atlas also offers up molecular and cellular targets for new pain therapies.
Psychedelics research in rodents has a behavior problem
Simple behavioral assays—originally validated as drug-screening tools—fall short in studies that aim to unpack the psychedelic mechanism of action, so some behavioral neuroscientists are developing more nuanced tasks.
Psychedelics research in rodents has a behavior problem
Simple behavioral assays—originally validated as drug-screening tools—fall short in studies that aim to unpack the psychedelic mechanism of action, so some behavioral neuroscientists are developing more nuanced tasks.
New organoid atlas unveils four neurodevelopmental signatures
The comprehensive resource details data on microcephaly, polymicrogyria, epilepsy and intellectual disability from 352 people.
New organoid atlas unveils four neurodevelopmental signatures
The comprehensive resource details data on microcephaly, polymicrogyria, epilepsy and intellectual disability from 352 people.
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.
Explore more from The Transmitter
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.
Common and rare variants shape distinct genetic architecture of autism in African Americans
Certain gene variants may have greater weight in determining autism likelihood for some populations, a new study shows.
Common and rare variants shape distinct genetic architecture of autism in African Americans
Certain gene variants may have greater weight in determining autism likelihood for some populations, a new study shows.