Margeaux Walter
Illustrator
From this contributor
How to teach students about science funding
As researchers reel over the uncertain state of U.S. federal funding, educating students on the business of science is more important than ever.
How to teach students about science funding
How to teach this paper: ‘Coordination of entorhinal-hippocampal ensemble activity during associative learning,’ by Igarashi et al. (2014)
Kei Igarashi and his colleagues established an important foundation in memory research: the premise that brain regions oscillate together to form synaptic connections and, ultimately, memories.
How to teach this paper: ‘Behavioral time scale synaptic plasticity underlies CA1 place fields,’ by Bittner and Milstein et al. (2017)
Katie Bittner, Aaron Milstein and their colleagues found that cellular learning can happen over longer timescales than Hebb’s rule predicts. How long should we wait to teach students about this phenomenon?
From a scientist’s perspective: The Transmitter’s top five essays in 2023
From big-picture debates about theories and terms to practical tips for teaching and writing, our favorite expert-written articles offer a glimpse into what neuroscientists are thinking.
From a scientist’s perspective: The Transmitter’s top five essays in 2023
How to teach this paper: ‘Neural population dynamics during reaching,’ by Churchland & Cunningham et al. (2012)
This foundational paper, with more than 1,500 citations, is an important departure from early neuroscience research. Don’t be afraid of the math in the first paragraph.
Explore more from The Transmitter
Video catches microglia in the act of synaptic pruning
Live cell imaging reveals the clearest picture yet of this elusive process. Whether it’s something these cells do regularly remains up for debate.
Video catches microglia in the act of synaptic pruning
Live cell imaging reveals the clearest picture yet of this elusive process. Whether it’s something these cells do regularly remains up for debate.
Gabriele Scheler reflects on the interplay between language, thought and AI
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
Gabriele Scheler reflects on the interplay between language, thought and AI
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
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.