Modeling
Recent articles
Learning in living mice defies classic synaptic plasticity rule
Donald Hebb’s theory—memorably summarized as “cells that fire together, wire together”—does not explain the shifting hippocampal connections in mice learning to navigate a virtual environment, according to a new study.
Learning in living mice defies classic synaptic plasticity rule
Donald Hebb’s theory—memorably summarized as “cells that fire together, wire together”—does not explain the shifting hippocampal connections in mice learning to navigate a virtual environment, according to a new study.
Escaping groupthink: What animals’ behavioral quirks reveal about the brain
Neuroscientists have long ignored the variability in animals’ behavioral responses in favor of studying differences across groups. But work on the brain differences that underlie that variability is beginning to pay off.
Escaping groupthink: What animals’ behavioral quirks reveal about the brain
Neuroscientists have long ignored the variability in animals’ behavioral responses in favor of studying differences across groups. But work on the brain differences that underlie that variability is beginning to pay off.
Basic pain research ‘is not working’: Q&A with Steven Prescott and Stéphanie Ratté
Prescott and Ratté critique the clinical relevance of preclinical studies in the field and highlight areas for improvement.
Basic pain research ‘is not working’: Q&A with Steven Prescott and Stéphanie Ratté
Prescott and Ratté critique the clinical relevance of preclinical studies in the field and highlight areas for improvement.
Gabriele Scheler reflects on the interplay between language, thought and AI
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
Gabriele Scheler reflects on the interplay between language, thought and AI
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
How neuroscience comics add KA-POW! to the field: Q&A with Kanaka Rajan
The artistic approach can help explain complex ideas frame by frame without diluting the science, Rajan says.
How neuroscience comics add KA-POW! to the field: Q&A with Kanaka Rajan
The artistic approach can help explain complex ideas frame by frame without diluting the science, Rajan says.
Untangling biological threads from autism’s phenotypic patchwork reveals four core subtypes
People belonging to the same subtype share genetic variants, behaviors and often co-occurring diagnoses, according to a new preprint.
Untangling biological threads from autism’s phenotypic patchwork reveals four core subtypes
People belonging to the same subtype share genetic variants, behaviors and often co-occurring diagnoses, according to a new preprint.
Reconstructing dopamine’s link to reward
The field is grappling with whether to modify the long-standing theory of reward prediction error—or abandon it entirely.
Reconstructing dopamine’s link to reward
The field is grappling with whether to modify the long-standing theory of reward prediction error—or abandon it entirely.
Dopamine and the need for alternative theories
Some experimental findings are inconsistent with the dominant model of reward prediction error, highlighting the need for alternative testable and falsifiable models for dopamine function.
Dopamine and the need for alternative theories
Some experimental findings are inconsistent with the dominant model of reward prediction error, highlighting the need for alternative testable and falsifiable models for dopamine function.
Does a new theory of dopamine replace the classic model?
My answer would be no, but the model poses challenges that will sharpen our understanding of dopamine and learning.
Does a new theory of dopamine replace the classic model?
My answer would be no, but the model poses challenges that will sharpen our understanding of dopamine and learning.
Can an emerging field called ‘neural systems understanding’ explain the brain?
This mashup of neuroscience, artificial intelligence and even linguistics and philosophy of mind aims to crack the deep question of what "understanding" is, however un-brain-like its models may be.
Can an emerging field called ‘neural systems understanding’ explain the brain?
This mashup of neuroscience, artificial intelligence and even linguistics and philosophy of mind aims to crack the deep question of what "understanding" is, however un-brain-like its models may be.
Explore more from The Transmitter
On the importance of reading (just not too much)
The real fun of being a neuroscientist, and maybe the key to asking and answering new questions, is to think big and take intellectual risks.
On the importance of reading (just not too much)
The real fun of being a neuroscientist, and maybe the key to asking and answering new questions, is to think big and take intellectual risks.
How developing neurons simplify their search for a synaptic mate
Streamlining the problem from 3D to 1D eases the expedition—a strategy the study investigators deployed to rewire an olfactory circuit in flies.
How developing neurons simplify their search for a synaptic mate
Streamlining the problem from 3D to 1D eases the expedition—a strategy the study investigators deployed to rewire an olfactory circuit in flies.
NIH autism database announcement raises concerns among researchers
The U.S. National Institutes of Health announced a plan to pour $50 million into data science projects intended to investigate the condition’s causes, but the initiative’s short timeline and other atypicalities have prompted questions.
NIH autism database announcement raises concerns among researchers
The U.S. National Institutes of Health announced a plan to pour $50 million into data science projects intended to investigate the condition’s causes, but the initiative’s short timeline and other atypicalities have prompted questions.