Learning
Recent articles
Researchers retract multisensory learning paper after failed replications
Even though one set of experiments did not hold up, the authors stand by the original conclusions of the work and plan to resubmit it as a new paper.
Researchers retract multisensory learning paper after failed replications
Even though one set of experiments did not hold up, the authors stand by the original conclusions of the work and plan to resubmit it as a new paper.
This paper changed my life: Talia Lerner reflects on dopamine neuron diversity and the value of simple experiments
In a 2011 Neuron study, Stephan Lammel and his colleagues showed that dopamine neurons with different projections have different physiological properties. The work inspired Lerner to think about how to challenge widely held assumptions in the field.
This paper changed my life: Talia Lerner reflects on dopamine neuron diversity and the value of simple experiments
In a 2011 Neuron study, Stephan Lammel and his colleagues showed that dopamine neurons with different projections have different physiological properties. The work inspired Lerner to think about how to challenge widely held assumptions in the field.
Infant visual system categorizes common objects by 2 months of age
Brain activity patterns in the ventral visual cortex appear to distinguish images across 12 categories, including birds and trees, longitudinal functional MRI scans suggest.
Infant visual system categorizes common objects by 2 months of age
Brain activity patterns in the ventral visual cortex appear to distinguish images across 12 categories, including birds and trees, longitudinal functional MRI scans suggest.
To persist, memories surf molecular waves from thalamus to cortex
During the later stages of learning, the mouse brain progressively activates transcriptional regulators that drive memory consolidation.
To persist, memories surf molecular waves from thalamus to cortex
During the later stages of learning, the mouse brain progressively activates transcriptional regulators that drive memory consolidation.
Sex hormone boosts female rats’ sensitivity to unexpected rewards
During the high-estradiol stages of their estrus cycle, female rats learn faster than they do during other stages—and than male rats overall—thanks to a boost in their dopaminergic response to reward, a new study suggests.
Sex hormone boosts female rats’ sensitivity to unexpected rewards
During the high-estradiol stages of their estrus cycle, female rats learn faster than they do during other stages—and than male rats overall—thanks to a boost in their dopaminergic response to reward, a new study suggests.
Gene replacement therapy normalizes some traits in SYNGAP1 model mice
The first published virus-based gene therapy for SYNGAP1 deletion yields benefits despite the gene’s long length and complexity.
Gene replacement therapy normalizes some traits in SYNGAP1 model mice
The first published virus-based gene therapy for SYNGAP1 deletion yields benefits despite the gene’s long length and complexity.
Top neuroscience prize winners in 2025
The awards recognize lifetime achievements and new discoveries.
Top neuroscience prize winners in 2025
The awards recognize lifetime achievements and new discoveries.
‘What Is Intelligence?’: An excerpt
In his new book, published today, Blaise Agüera y Arcas examines the fundamental aspects of intelligence in biological and artificial systems. In this excerpt from Chapter 4, he examines temporal difference, a reinforcement learning algorithm.
‘What Is Intelligence?’: An excerpt
In his new book, published today, Blaise Agüera y Arcas examines the fundamental aspects of intelligence in biological and artificial systems. In this excerpt from Chapter 4, he examines temporal difference, a reinforcement learning algorithm.
How to build a truly global computational neuroscience community
Computational sciences offer an opportunity to increase global access to, and participation in, neuroscience. Neuromatch’s inclusive, scalable model for community building shows how to realize this promise.
How to build a truly global computational neuroscience community
Computational sciences offer an opportunity to increase global access to, and participation in, neuroscience. Neuromatch’s inclusive, scalable model for community building shows how to realize this promise.
Spatial learning circuitry fluctuates in step with estrous cycle in mice
Cyclic shifts in estradiol levels coincide with changes in dendritic spine density and the activity of place cells in the CA1 region of the hippocampus, a new study shows.
Spatial learning circuitry fluctuates in step with estrous cycle in mice
Cyclic shifts in estradiol levels coincide with changes in dendritic spine density and the activity of place cells in the CA1 region of the hippocampus, a new study shows.
Explore more from The Transmitter
Autism-linked genes alter sleep behavior, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 13 April.
Autism-linked genes alter sleep behavior, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 13 April.
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
A 1960s study by Kelleher and Morse found that lever pressing in squirrel monkeys depended not on whether they received a reward or shock, but on the rules of the task. This taught Calipari to think deeply about factors that influence how behavior is generated and maintained.
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?
Why neural foundation models work, and what they might—and might not—teach us about the brain
These models can partly generalize across species, brain regions and tasks, suggesting that a set of machine-learnable rules govern neural population activity. But will we be able to understand them?