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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.

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

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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

Results

  1. Abstract representations emerge naturally in neural networks trained to perform multiple tasks

    Publication
  2. The geometry of cortical representations of touch in rodents

    Publication
  3. Face familiarity detection with complex synapses

    Publication
  4. The implications of categorical and category-free mixed selectivity on representational geometries

    Publication
  5. Signatures of rapid plasticity in hippocampal CA1 representations during novel experiences

    Publication
    Neurons in the hippocampus exhibit a striking selectivity for specific combinations of sensory features, forming representations that are thought to subserve episodic memory. Even during completely novel experiences …
  6. Sensorimotor strategies and neuronal representations for shape discrimination

    Publication
  7. The Geometry of Abstraction in the Hippocampus and Prefrontal Cortex

    Publication
    The curse of dimensionality plagues models of reinforcement learning and decision making. The process of abstraction solves this by constructing variables describing features shared by different instances, reducing …
  8. Coding of social novelty in the hippocampal CA2 region and its disruption and rescue in a 22q11.2 microdeletion mouse model

    Publication
    The hippocampal CA2 region is essential for social memory. To determine whether CA2 activity encodes social interactions, we recorded extracellularly from CA2 pyramidal neurons (PNs) in male mice …
  9. Low-dimensional dynamics for working memory and time encoding

    Publication
    Our decisions often depend on multiple sensory experiences separated by time delays. The brain can remember these experiences and, simultaneously, estimate the timing between events. To understand the …
  10. Flexible recruitment of memory-based choice representations by the human medial frontal cortex

    Publication
    Decision-making in complex environments relies on flexibly using prior experience. This process depends on the medial frontal cortex (MFC) and the medial temporal lobe, but it remains …
  11. A Distributed Neural Code in the Dentate Gyrus and in CA1

    Publication
    Neurons are often considered specialized functional units that encode a single variable. However, many neurons are observed to respond to a mix of disparate sensory, cognitive, and behavioral …
  12. Hippocampal Network Reorganization Underlies the Formation of a Temporal Association Memory

    Publication
    Episodic memory requires linking events in time, a function dependent on the hippocampus. In “trace” fear conditioning, animals learn to associate a neutral cue with an aversive stimulus …
  13. Context-dependent representations of objects and space in the primate hippocampus during virtual navigation.

    Publication
    The hippocampus is implicated in associative memory and spatial navigation. To investigate how these functions are mixed in the hippocampus, we recorded from single hippocampal neurons in macaque …
  14. Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales

    Publication
    Behavior deviating from our normative expectations often appears irrational. For example, even though behavior following the so-called matching law can maximize reward in a stationary foraging task …
  15. Neural classifiers with limited connectivity and recurrent readouts.

    Publication
    … propose a model in which a recurrent network reads out multiple neural classifiers. Its performance scales with the total number of neurons even when each neuron of …
  16. Hebbian Learning in a Random Network Captures Selectivity Properties of Prefrontal Cortex.

    Publication
    … selectivity")-is a topic of interest. Despite the fact that models with random feedforward connectivity are capable of creating computationally-relevant mixed selectivity, such a model does …

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