Computational neuroscience
Recent articles
Cracking the neural code for emotional states
Rather than act as a simple switchboard for innate behaviors, the hypothalamus encodes an animal's internal state, which influences behavior.
Cracking the neural code for emotional states
Rather than act as a simple switchboard for innate behaviors, the hypothalamus encodes an animal's internal state, which influences behavior.
The 1,000 neuron challenge
A competition to design small, efficient neural models might provide new insight into real brains—and perhaps unite disparate modeling efforts.
The 1,000 neuron challenge
A competition to design small, efficient neural models might provide new insight into real brains—and perhaps unite disparate modeling efforts.
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.
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.