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  • Bringing people and ideas together to fund, conduct, and share transformative science.

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  • Founded by Jim and Marilyn Simons, we’re a private philanthropy advancing mathematics and basic science.

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Bringing people and ideas together to fund, conduct, and share transformative science.

Our grants advance knowledge and strengthen connections between science and society.

Discover the latest news, research, and updates.

  • All News
  • Research News
  • Funding Announcements
  • Newsletter Sign Up
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  • Media Relations

We convene scientists, mathematicians, and thinkers to share ideas and explore new questions.

  • Events Calendar
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  • Presidential Lectures
  • Presents
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Founded by Jim and Marilyn Simons, we’re a private philanthropy advancing mathematics and basic science.

Work with us on the frontier of basic science research.

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The Flatiron Institute is a research center that uses computational science to advance fields like physics, biology, and astronomy.

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Featured

Dissecting mechanisms of hyperarousal in autism and related disorders using the Simons Sleep Project

Funded Work

Gravity Follows Newton’s and Einstein’s Rules, Even at Cosmic Scales

April 15, 2026

Scientists Capture Superconductivity’s ‘Dancing Pairs’ for First Time, Filling Gap in Decades-Old Theory

April 15, 2026

How SURFiN Fellowships Jump-Started These 3 Neuroscience Students’ STEM Careers

March 18, 2026

Topology and Complexity

November 19, 2014

Results

  1. Dimensionality reduction of calcium-imaged neuronal population activity

    Publication
  2. Feedforward and feedback interactions between visual cortical areas use different population activity patterns

    Publication
    Brain function relies on the coordination of activity across multiple, recurrently connected brain areas. For instance, sensory information encoded in early sensory areas is relayed to, and further …
  3. How learning unfolds in the brain: toward an optimization view

    Publication
    How do changes in the brain lead to learning? To answer this question, consider an artificial neural network (ANN), where learning proceeds by optimizing a given objective or …
  4. A stable population code for attention in prefrontal cortex leads a dynamic attention code in visual cortex

    Publication
    … that prefrontal cortical signals would predict attention signals in visual cortex, in line with the hypothesized role of prefrontal cortex in top-down executive control. Our results …
  5. Bridging neuronal correlations and dimensionality reduction

    Publication
    Two commonly used approaches to study interactions among neurons are spike count correlation, which describes pairs of neurons, and dimensionality reduction, applied to a population of neurons. Although …
  6. Learning is shaped by abrupt changes in neural engagement

    Publication
    Internal states such as arousal, attention and motivation modulate brain-wide neural activity, but how these processes interact with learning is not well understood. During learning, the brain …
  7. Statistical methods for dissecting interactions between brain areas

    Publication
    The brain is composed of many functionally distinct areas. This organization supports distributed processing, and requires the coordination of signals across areas. Our understanding of how populations of …
  8. Slow Drift of Neural Activity as a Signature of Impulsivity in Macaque Visual and Prefrontal Cortex

    Publication
    An animal's decision depends not only on incoming sensory evidence but also on its fluctuating internal state. This state embodies multiple cognitive factors, such as arousal and …
  9. Principles of Corticocortical Communication: Proposed Schemes and Design Considerations

    Publication
    Nearly all brain functions involve routing neural activity among a distributed network of areas. Understanding this routing requires more than a description of interareal anatomical connectivity: it requires …
  10. New neural activity patterns emerge with long-term learning

    Publication
    Consider a skill you would like to learn, like playing the piano. How do you progress from “Chopsticks” to Chopin? As you learn to do something new with …
  11. Cortical Areas Interact through a Communication Subspace.

    Publication
    Most brain functions involve interactions among multiple, distinct areas or nuclei. For instance, visual processing in primates requires the appropriate relaying of signals across many distinct cortical areas …
  12. Bridging large-scale neuronal recordings and large-scale network models using dimensionality reduction.

    Publication
    A long-standing goal in neuroscience has been to bring together neuronal recordings and neural network modeling to understand brain function. Neuronal recordings can inform the development of …
  13. Distinct population codes for attention in the absence and presence of visual stimulation.

    Publication
    Visual neurons respond more vigorously to an attended stimulus than an unattended one. How the brain prepares for response gain in anticipation of that stimulus is not well …
  14. Constraints on neural redundancy.

    Publication
    Millions of neurons drive the activity of hundreds of muscles, meaning many different neural population activity patterns could generate the same movement. Studies have suggested that these redundant …
  15. Learning by neural reassociation.

    Publication
    Behavior is driven by coordinated activity across a population of neurons. Learning requires the brain to change the neural population activity produced to achieve a given behavioral goal …
  16. Stimulus-Driven Population Activity Patterns in Macaque Primary Visual Cortex

    Publication
    Dimensionality reduction has been applied in various brain areas to study the activity of populations of neurons. To interpret the outputs of dimensionality reduction, it is important to …

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