Perspectives
Recent articles
Expert opinions on trends and controversies in neuroscience
Neuroscience gave AI its start. What happens now?
David Sussillo maps the two fields' divergent paths, and where they might still meet.
Neuroscience gave AI its start. What happens now?
David Sussillo maps the two fields' divergent paths, and where they might still meet.
Commentary: Citation graphs may underestimate neuroscience’s influence on AI
An alternative, albeit less quantitative, way to trace this history is through the people who carried ideas between the fields.
Commentary: Citation graphs may underestimate neuroscience’s influence on AI
An alternative, albeit less quantitative, way to trace this history is through the people who carried ideas between the fields.
Commentary: The rising absolute number of neuro-inspired AI papers represents a substantial footprint
Many of the design choices present in the current generation of artificial-intelligence tools parallel purported properties of the brain.
Commentary: The rising absolute number of neuro-inspired AI papers represents a substantial footprint
Many of the design choices present in the current generation of artificial-intelligence tools parallel purported properties of the brain.
Examining the bridge between neuroscience and AI
A citation analysis reveals that the connection between the two fields is real and gaining momentum. But it’s also narrow and tool-heavy; we need to find ways to widen it.
Examining the bridge between neuroscience and AI
A citation analysis reveals that the connection between the two fields is real and gaining momentum. But it’s also narrow and tool-heavy; we need to find ways to widen it.
What to do when traditional mechanistic approaches no longer work
Many complex behaviors have stubbornly resisted mechanistic explanations. Deciphering them will require new approaches—and perhaps a new concept of “understanding.”
What to do when traditional mechanistic approaches no longer work
Many complex behaviors have stubbornly resisted mechanistic explanations. Deciphering them will require new approaches—and perhaps a new concept of “understanding.”
Govern neurodata by how it’s used, not where it’s from
New neurodata laws will shape how researchers gather, share and reuse brain data. A use-based governance protects basic researchers and those whose data are being used, without freezing science.
Govern neurodata by how it’s used, not where it’s from
New neurodata laws will shape how researchers gather, share and reuse brain data. A use-based governance protects basic researchers and those whose data are being used, without freezing science.
This paper changed my life: A first glimpse into the ‘middle’ of brain processing
Work by Jeffrey Moran and Robert Desimone showed that monkeys could focus their attention on different stimuli in their visual field without shifting their gaze. Their work marked a key milestone in the emergence of cognitive neuroscience.
This paper changed my life: A first glimpse into the ‘middle’ of brain processing
Work by Jeffrey Moran and Robert Desimone showed that monkeys could focus their attention on different stimuli in their visual field without shifting their gaze. Their work marked a key milestone in the emergence of cognitive neuroscience.
The neural code at 100
In two 1926 articles, Edgar Douglas Adrian revealed that neurons communicate through trains of spikes.
The neural code at 100
In two 1926 articles, Edgar Douglas Adrian revealed that neurons communicate through trains of spikes.
Is confidence a second thought—or part of the first one?
In some settings, neural circuits may calculate confidence in a decision simultaneously with the choice itself. That changes the types of questions researchers should ask.
Is confidence a second thought—or part of the first one?
In some settings, neural circuits may calculate confidence in a decision simultaneously with the choice itself. That changes the types of questions researchers should ask.
What AI can learn from hunger
To enhance AI safety, take a lesson from biological brains; a small set of wants maintains durable control over a much larger cognitive system.
What AI can learn from hunger
To enhance AI safety, take a lesson from biological brains; a small set of wants maintains durable control over a much larger cognitive system.
Explore more from The Transmitter
The relationship between structure and function in cortical networks
Michael Reimann explains how the shape of neurons puts strong constraints on how they are wired in a network, and how this affects their structure-function relationships.
The relationship between structure and function in cortical networks
Michael Reimann explains how the shape of neurons puts strong constraints on how they are wired in a network, and how this affects their structure-function relationships.
How brains prevent ‘catastrophic forgetting’
Dendrite-specific inhibition lets overlapping neuronal assemblies form across brain areas without erasing existing memories, a new modeling study suggests.
How brains prevent ‘catastrophic forgetting’
Dendrite-specific inhibition lets overlapping neuronal assemblies form across brain areas without erasing existing memories, a new modeling study suggests.
Lipids enter brain mapping limelight
Two new studies, including the first whole-brain lipid atlas in mice, uncover unforeseen complexity and influence during pregnancy and aging.
Lipids enter brain mapping limelight
Two new studies, including the first whole-brain lipid atlas in mice, uncover unforeseen complexity and influence during pregnancy and aging.