Theoretical neuroscience
Recent articles
Xaq Pitkow shares his principles for studying cognition in our imperfect brains and bodies
Pitkow discusses how evolution's messy constraints shape optimal brain algorithms, from Bayesian inference to ecological affordances.
Xaq Pitkow shares his principles for studying cognition in our imperfect brains and bodies
Pitkow discusses how evolution's messy constraints shape optimal brain algorithms, from Bayesian inference to ecological affordances.
Long-standing theoretical neuroscience fellowship program loses financial support
Funding from the Swartz and Sloan Foundations helped bring physicists and mathematicians into neuroscience for more than 30 years.
Long-standing theoretical neuroscience fellowship program loses financial support
Funding from the Swartz and Sloan Foundations helped bring physicists and mathematicians into neuroscience for more than 30 years.
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.
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
Long-read sequencing unearths overlooked autism-linked variants
Strips that are thousands of base pairs in length offer better resolution of structural variants and tandem repeats, according to two independent preprints.
Long-read sequencing unearths overlooked autism-linked variants
Strips that are thousands of base pairs in length offer better resolution of structural variants and tandem repeats, according to two independent preprints.
This paper changed my life: Dan Goodman on a paper that reignited the field of spiking neural networks
Friedemann Zenke’s 2019 paper, and its related coding tutorial SpyTorch, made it possible to apply modern machine learning to spiking neural networks. The innovation reinvigorated the field.
This paper changed my life: Dan Goodman on a paper that reignited the field of spiking neural networks
Friedemann Zenke’s 2019 paper, and its related coding tutorial SpyTorch, made it possible to apply modern machine learning to spiking neural networks. The innovation reinvigorated the field.
Autism and anxiety insights; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 September.
Autism and anxiety insights; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 September.