Theoretical neuroscience
Recent articles
Xiao-Jing Wang outlines the future of theoretical neuroscience
Wang discusses why he decided the time was right for a new theoretical neuroscience textbook and how bifurcation is a key missing concept in neuroscience explanations.
Xiao-Jing Wang outlines the future of theoretical neuroscience
Wang discusses why he decided the time was right for a new theoretical neuroscience textbook and how bifurcation is a key missing concept in neuroscience explanations.
Thinking about thinking: AI offers theoretical insights into human memory
We need a new conceptual framework for understanding cognitive functions—particularly how globally distributed brain states are formed and maintained for hours.
Thinking about thinking: AI offers theoretical insights into human memory
We need a new conceptual framework for understanding cognitive functions—particularly how globally distributed brain states are formed and maintained for hours.
Breaking the barrier between theorists and experimentalists
Many neuroscience students are steeped in an experiment-first style of thinking that leads to “random walk science.” Let’s not forget how theory can guide experiments toward deeper insights.
Breaking the barrier between theorists and experimentalists
Many neuroscience students are steeped in an experiment-first style of thinking that leads to “random walk science.” Let’s not forget how theory can guide experiments toward deeper insights.
Future watch: What should neuroscience prioritize during the next 10 to 20 years?
For The Transmitter’s first annual book, five contributing editors reflect on what subfields demand greater focus in the near future—from dynamical systems and computation to technologies for studying the human brain.
Future watch: What should neuroscience prioritize during the next 10 to 20 years?
For The Transmitter’s first annual book, five contributing editors reflect on what subfields demand greater focus in the near future—from dynamical systems and computation to technologies for studying the human brain.
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.
Computational and systems neuroscience needs development
Embracing recent advances in developmental biology can drive a new wave of innovation.
Computational and systems neuroscience needs development
Embracing recent advances in developmental biology can drive a new wave of innovation.
Must a theory be falsifiable to contribute to good science?
Four researchers debate the role that non-testable theories play in neuroscience.
Must a theory be falsifiable to contribute to good science?
Four researchers debate the role that non-testable theories play in neuroscience.
Explore more from The Transmitter
Quantifying funding sources across neuroscience labs
We want to hear from you about the sources of funding for your research.
Quantifying funding sources across neuroscience labs
We want to hear from you about the sources of funding for your research.
What kinds of support do early-career researchers need?
Help The Transmitter and Neuromatch bolster the next generation of neuroscientists.
What kinds of support do early-career researchers need?
Help The Transmitter and Neuromatch bolster the next generation of neuroscientists.
Alzheimer’s scientist forced to retract paper during his own replication effort
Gary Dunbar, a neuroscientist at Central Michigan University, was attempting to redo the 2020 paper after a collaborator admitted to using flawed data in the original work.
Alzheimer’s scientist forced to retract paper during his own replication effort
Gary Dunbar, a neuroscientist at Central Michigan University, was attempting to redo the 2020 paper after a collaborator admitted to using flawed data in the original work.