Neural networks
Recent articles
NeuroAI: A field born from the symbiosis between neuroscience, AI
As the history of this nascent discipline reveals, neuroscience has inspired advances in artificial intelligence, and AI has provided a testing ground for models in neuroscience, accelerating progress in both fields.
NeuroAI: A field born from the symbiosis between neuroscience, AI
As the history of this nascent discipline reveals, neuroscience has inspired advances in artificial intelligence, and AI has provided a testing ground for models in neuroscience, accelerating progress in both fields.
What the brain can teach artificial neural networks
The brain offers valuable lessons to artificial neural networks to boost their data and energy efficiency, flexibility and more.
What the brain can teach artificial neural networks
The brain offers valuable lessons to artificial neural networks to boost their data and energy efficiency, flexibility and more.
Are brains and AI converging?—an excerpt from ‘ChatGPT and the Future of AI: The Deep Language Revolution’
In his new book, to be published next week, computational neuroscience pioneer Terrence Sejnowski tackles debates about AI’s capacity to mirror cognitive processes.
Are brains and AI converging?—an excerpt from ‘ChatGPT and the Future of AI: The Deep Language Revolution’
In his new book, to be published next week, computational neuroscience pioneer Terrence Sejnowski tackles debates about AI’s capacity to mirror cognitive processes.
Repeat scans reveal brain changes that precede childbirth
A detailed look at a “pregnant brain” highlights a need to investigate the neural alterations that occur during a transition experienced by nearly 140 million people worldwide each year.
Repeat scans reveal brain changes that precede childbirth
A detailed look at a “pregnant brain” highlights a need to investigate the neural alterations that occur during a transition experienced by nearly 140 million people worldwide each year.
Neural-network analysis posits how brains build skills
Discrete computational subunits may offer mix-and-match motifs for cognition.
Neural-network analysis posits how brains build skills
Discrete computational subunits may offer mix-and-match motifs for cognition.
New ‘decoder’ tool translates functional neuroimaging terms across labs
The compendium of brain-parcellation atlases makes it possible to compare large-scale network data, which often involves different and overlapping network names.
New ‘decoder’ tool translates functional neuroimaging terms across labs
The compendium of brain-parcellation atlases makes it possible to compare large-scale network data, which often involves different and overlapping network names.
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.
Should we use the computational or the network approach to analyze functional brain-imaging data—why not both?
Emerging methods make it possible to combine the two tactics from opposite ends of the analytic spectrum, enabling scientists to have their cake and eat it too.
Should we use the computational or the network approach to analyze functional brain-imaging data—why not both?
Emerging methods make it possible to combine the two tactics from opposite ends of the analytic spectrum, enabling scientists to have their cake and eat it too.
Theoretical and computational neuroscientists net 2024 Brain Prize
Larry Abbott, Terrence Sejnowski and Haim Sompolinsky split $1.45 million in recognition of their decades of work uncovering principles of brain structure and function.
Theoretical and computational neuroscientists net 2024 Brain Prize
Larry Abbott, Terrence Sejnowski and Haim Sompolinsky split $1.45 million in recognition of their decades of work uncovering principles of brain structure and function.
The origins of COSYNE: Building a community
Thirty years ago, theoretical and experimental neuroscientists rarely went to the same conferences. So I helped launch a meeting to get them talking.
The origins of COSYNE: Building a community
Thirty years ago, theoretical and experimental neuroscientists rarely went to the same conferences. So I helped launch a meeting to get them talking.
Explore more from The Transmitter
Grace Hwang and Joe Monaco discuss the future of NeuroAI
Hwang and Monaco organized a recent workshop to hear from leaders in the field about how best to integrate NeuroAI research into the BRAIN Initiative.
Grace Hwang and Joe Monaco discuss the future of NeuroAI
Hwang and Monaco organized a recent workshop to hear from leaders in the field about how best to integrate NeuroAI research into the BRAIN Initiative.
Anti-seizure medications in pregnancy; TBR1 gene; microglia
Here is a roundup of autism-related news and research spotted around the web for the week of 2 December.
Anti-seizure medications in pregnancy; TBR1 gene; microglia
Here is a roundup of autism-related news and research spotted around the web for the week of 2 December.
Novel neurons upend ‘yin-yang’ model of hunger, satiety in brain
The new type of leptin-sensitive cells curb hunger quickly—adding to an increasingly complex picture of brain circuits that control feeding behaviors.
Novel neurons upend ‘yin-yang’ model of hunger, satiety in brain
The new type of leptin-sensitive cells curb hunger quickly—adding to an increasingly complex picture of brain circuits that control feeding behaviors.