How to teach this paper
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This column by Ashley Juavinett guides educators and self-learners through recent seminal neuroscience papers.
How to teach programming in the age of AI
Scientists and educators are concerned about students using artificial intelligence to shortcut their learning. But there are also opportunities, especially when it comes to teaching neuroscience students how to code.
How to teach programming in the age of AI
Scientists and educators are concerned about students using artificial intelligence to shortcut their learning. But there are also opportunities, especially when it comes to teaching neuroscience students how to code.
How to teach this paper: ‘Neurotoxic reactive astrocytes are induced by activated microglia,’ by Liddelow et al. (2017)
Shane Liddelow and his collaborators identified the factors that transform astrocytes from their helpful to harmful form. Their work is a great choice if you want to teach students about glial cell types, cell culture, gene expression or protein measurement.
How to teach this paper: ‘Neurotoxic reactive astrocytes are induced by activated microglia,’ by Liddelow et al. (2017)
Shane Liddelow and his collaborators identified the factors that transform astrocytes from their helpful to harmful form. Their work is a great choice if you want to teach students about glial cell types, cell culture, gene expression or protein measurement.
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
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 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: ‘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?
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?
How to teach this paper: ‘Creating a false memory in the hippocampus,’ by Ramirez and Liu et al. (2013)
We’ve known how to implant memories in mouse minds for a decade. Can we implant these ideas in our students?
How to teach this paper: ‘Creating a false memory in the hippocampus,’ by Ramirez and Liu et al. (2013)
We’ve known how to implant memories in mouse minds for a decade. Can we implant these ideas in our students?
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.
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.
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Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Error equation predicts brain’s ability to generalize
Four statistical measurements of neural network geometry capture how well brains and artificial networks use what they already know to solve new problems, a study suggests.
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.
Embrace complexity to improve the translatability of basic neuroscience
Researchers must learn to view heterogeneity as an essential feature of the systems they study and a central consideration in experimental design, not a variable to control for or reduce.
Romain Brette reveals fundamental flaws in commonly assumed neuroscience concepts
His new book, “The Brain, In Theory,” offers alternatives to many of the computer science frameworks currently driving theoretical neuroscience.
Romain Brette reveals fundamental flaws in commonly assumed neuroscience concepts
His new book, “The Brain, In Theory,” offers alternatives to many of the computer science frameworks currently driving theoretical neuroscience.