Systems neuroscience
Recent articles
What are recurrent networks doing in the brain?
The cortex is filled with excitatory local synapses, but we know little about their role in brain function. New experimental tools, along with ideas from artificial intelligence, are poised to change that.
What are recurrent networks doing in the brain?
The cortex is filled with excitatory local synapses, but we know little about their role in brain function. New experimental tools, along with ideas from artificial intelligence, are poised to change that.
Imagining the ultimate systems neuroscience paper
A growing body of papers on systems neuroscience and on giant simulations of neural circuits involves data beyond the point that anyone can reasonably understand end to end. Looking ahead, “paper-bots” could solve that problem.
Imagining the ultimate systems neuroscience paper
A growing body of papers on systems neuroscience and on giant simulations of neural circuits involves data beyond the point that anyone can reasonably understand end to end. Looking ahead, “paper-bots” could solve that problem.
How to be a multidisciplinary neuroscientist
Neuroscience subfields are often siloed. Embracing an integrative approach during training can help change that.
How to be a multidisciplinary neuroscientist
Neuroscience subfields are often siloed. Embracing an integrative approach during training can help change that.
Widely distributed brain areas sync to orchestrate decisions in rodents
Multiple brain areas synchronize their activity to help a rodent accumulate the evidence it needs to make a choice, two new studies suggest.
Widely distributed brain areas sync to orchestrate decisions in rodents
Multiple brain areas synchronize their activity to help a rodent accumulate the evidence it needs to make a choice, two new studies suggest.
What makes memories last—dynamic ensembles or static synapses?
Teasing out how different subfields conceptualize central terms might help move this long-standing debate forward. I asked eight scientists to weigh in.
What makes memories last—dynamic ensembles or static synapses?
Teasing out how different subfields conceptualize central terms might help move this long-standing debate forward. I asked eight scientists to weigh in.
Should I stay (and eat) or should I go? How the brain balances hunger with competing drives
Understanding the interplay among rival signals, such as pain, thirst and fear, could provide insights into anxiety and other neuropsychiatric conditions.
Should I stay (and eat) or should I go? How the brain balances hunger with competing drives
Understanding the interplay among rival signals, such as pain, thirst and fear, could provide insights into anxiety and other neuropsychiatric conditions.
Cristina Savin and Tim Vogels discuss how AI has shaped their neuroscience research
Not all neuroscientists use artificial intelligence in the same way or for the same purpose. Neuroscience researchers from different fields discuss the impact AI has had on their research and how it influences productivity in their labs.
Cristina Savin and Tim Vogels discuss how AI has shaped their neuroscience research
Not all neuroscientists use artificial intelligence in the same way or for the same purpose. Neuroscience researchers from different fields discuss the impact AI has had on their research and how it influences productivity in their labs.
Double-duty neurons in primary olfactory cortex pick up on more than just scent
The cells recognize not only odors, such as bananas and black licorice—but also images and words associated with those smells, according to single-neuron recordings from 17 people.
Double-duty neurons in primary olfactory cortex pick up on more than just scent
The cells recognize not only odors, such as bananas and black licorice—but also images and words associated with those smells, according to single-neuron recordings from 17 people.
Kenneth Harris and Andreas Tolias explain how AI has informed their neuroscience research
Modern AI models have shaped how the pair thinks about our brains and minds, asks research questions and views scientific progress and productivity.
Kenneth Harris and Andreas Tolias explain how AI has informed their neuroscience research
Modern AI models have shaped how the pair thinks about our brains and minds, asks research questions and views scientific progress and productivity.
What are mechanisms? Unpacking the term is key to progress in neuroscience
Mechanism is a common and powerful concept, invoked in grant calls and publication guidelines. But scientists use it in different ways, making it difficult to clarify standards in the field. We asked nine scientists to weigh in.
What are mechanisms? Unpacking the term is key to progress in neuroscience
Mechanism is a common and powerful concept, invoked in grant calls and publication guidelines. But scientists use it in different ways, making it difficult to clarify standards in the field. We asked nine scientists to weigh in.
Explore more from The Transmitter
The non-model organism “renaissance” has arrived
Meet 10 neuroscientists bringing model diversity back with the funky animals they study.
The non-model organism “renaissance” has arrived
Meet 10 neuroscientists bringing model diversity back with the funky animals they study.
Assembloids illuminate circuit-level changes linked to autism, neurodevelopment
These complex combinations of organoids afford a closer look at how gene alterations affect certain brain networks.
Assembloids illuminate circuit-level changes linked to autism, neurodevelopment
These complex combinations of organoids afford a closer look at how gene alterations affect certain brain networks.
Rajesh Rao reflects on predictive brains, neural interfaces and the future of human intelligence
Twenty-five years ago, Rajesh Rao proposed a seminal theory of how brains could implement predictive coding for perception. His modern version zeroes in on actions.
Rajesh Rao reflects on predictive brains, neural interfaces and the future of human intelligence
Twenty-five years ago, Rajesh Rao proposed a seminal theory of how brains could implement predictive coding for perception. His modern version zeroes in on actions.