Modeling
Recent articles
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.
Whole-brain, bottom-up neuroscience: The time for it is now
Applying new tools to entire brains, starting with C. elegans, offers the opportunity to uncover how molecules work together to generate neural physiology and how neurons work together to generate behavior.
Whole-brain, bottom-up neuroscience: The time for it is now
Applying new tools to entire brains, starting with C. elegans, offers the opportunity to uncover how molecules work together to generate neural physiology and how neurons work together to generate behavior.
The visual system’s lingering mystery: Connecting neural activity and perception
Figuring out how the brain uses information from visual neurons may require new tools. I asked 10 neuroscientists what experimental and conceptual methods they think we’re missing.
The visual system’s lingering mystery: Connecting neural activity and perception
Figuring out how the brain uses information from visual neurons may require new tools. I asked 10 neuroscientists what experimental and conceptual methods they think we’re missing.
Meet the Autism Data Science Initiative grantees
The awarded projects plan to study gene-and-environment interactions in people, stem cells and organoids, as well as predictors of positive life outcomes in autistic youth and adults.
Meet the Autism Data Science Initiative grantees
The awarded projects plan to study gene-and-environment interactions in people, stem cells and organoids, as well as predictors of positive life outcomes in autistic youth and adults.
Worms help untangle brain structure/function mystery
The synaptic connectome of most animals bears little resemblance to functional brain maps, but it can still predict neuronal activity, according to two preprints that tackle the puzzle in C. elegans.
Worms help untangle brain structure/function mystery
The synaptic connectome of most animals bears little resemblance to functional brain maps, but it can still predict neuronal activity, according to two preprints that tackle the puzzle in C. elegans.
Breaking the jar: Why NeuroAI needs embodiment
Brain function is inexorably shaped by the body. Embracing this fact will benefit computational models of real brain function, as well as the design of artificial neural networks.
Breaking the jar: Why NeuroAI needs embodiment
Brain function is inexorably shaped by the body. Embracing this fact will benefit computational models of real brain function, as well as the design of artificial neural networks.
Some dopamine neurons signal default behaviors to reinforce habits
Movement-sensing neurons that target the striatum influence a mouse’s choice of action by favoring routine.
Some dopamine neurons signal default behaviors to reinforce habits
Movement-sensing neurons that target the striatum influence a mouse’s choice of action by favoring routine.
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.
Explore more from The Transmitter
Psilocybin rewires specific mouse cortical networks in lasting ways
Neuronal activity induced by the psychedelic drug strengthens inputs from sensory brain areas and weakens cortico-cortical recurrent loops.
Psilocybin rewires specific mouse cortical networks in lasting ways
Neuronal activity induced by the psychedelic drug strengthens inputs from sensory brain areas and weakens cortico-cortical recurrent loops.
Home makeover helps rats better express themselves: Q&A with Raven Hickson and Peter Kind
The “Habitat”—a complex environment with space for large social groups—expands the behavioral repertoire of rodent models, Hickson and Kind say.
Home makeover helps rats better express themselves: Q&A with Raven Hickson and Peter Kind
The “Habitat”—a complex environment with space for large social groups—expands the behavioral repertoire of rodent models, Hickson and Kind say.
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.