The big picture
Recent articles
Researchers ask colleagues to weigh in on important topics in the field.
Accepting “the bitter lesson” and embracing the brain’s complexity
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.

Accepting “the bitter lesson” and embracing the brain’s complexity
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.
To keep or not to keep: Neurophysiology’s data dilemma
An exponential growth in data size presents neuroscientists with a significant challenge: Should we be keeping all raw data or focusing on processed datasets? I asked experimentalists and theorists for their thoughts.

To keep or not to keep: Neurophysiology’s data dilemma
An exponential growth in data size presents neuroscientists with a significant challenge: Should we be keeping all raw data or focusing on processed datasets? I asked experimentalists and theorists for their thoughts.
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.
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.
What, if anything, makes mood fundamentally different from memory?
To better understand mood disorders—and to develop more effective treatments—should we target the brain, the mind, the environment or all three?

What, if anything, makes mood fundamentally different from memory?
To better understand mood disorders—and to develop more effective treatments—should we target the brain, the mind, the environment or all three?
Is the brain uncontrollable, like the weather?
The brain may be chaotic. Does that mean our efforts to control it are doomed?

Is the brain uncontrollable, like the weather?
The brain may be chaotic. Does that mean our efforts to control it are doomed?
Explore more from The Transmitter
This paper changed my life: Abigail Person on birdsong, feed-forward circuits and convergent computations
By isolating specific neuron types involved in zebra finch birdsong, this 2002 Nature paper from Michael Fee and colleagues revealed elegant neural mechanisms controlling the timing of natural learned behavior.

This paper changed my life: Abigail Person on birdsong, feed-forward circuits and convergent computations
By isolating specific neuron types involved in zebra finch birdsong, this 2002 Nature paper from Michael Fee and colleagues revealed elegant neural mechanisms controlling the timing of natural learned behavior.
Prosocial effects of oxytocin are state dependent; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 11 August.

Prosocial effects of oxytocin are state dependent; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 11 August.
The challenge of defining a neural population
Our current approach is largely arbitrary. We need new methods for grouping cells, ideally by their dynamics.

The challenge of defining a neural population
Our current approach is largely arbitrary. We need new methods for grouping cells, ideally by their dynamics.