The Simons Foundation, founded in 1994 by Jim and Marilyn Simons, is one of the largest private funders of basic science research in the United States. With an endowment exceeding $5 billion, the foundation supports advancing the frontiers of knowledge in mathematics, physics, neuroscience, and autism research through a diverse portfolio of funding mechanisms including individual investigator grants, collaborative research programs, fellowships, and the Flatiron Institute for computational science. Based in New York City, the foundation has become a transformative force in supporting fundamental research that might not receive funding through traditional governmental channels, enabling high-risk, high-reward projects that have produced significant scientific advances.
The foundation's approach to science funding emphasizes investigator-initiated research that gives scientists the flexibility to pursue novel ideas and unexpected discoveries. This philosophy has attracted leading researchers across multiple disciplines and enabled the foundation to build a portfolio of programs that span the spectrum of basic science. The Simons Collaboration on the Global Brain (SCGB), the Simons Foundation Autism Research Initiative (SFARI), and the Simons Collaboration on Plasticity and the Aging Brain represent major initiatives that have advanced understanding of neural circuit function, autism spectrum disorder, and age-related cognitive decline.
The Simons Foundation emerged from the success of its founders in quantitative finance. Jim Simons, a mathematician and former code breaker, built Renaissance Technologies into one of the most successful hedge funds in history, generating resources that would be directed toward advancing scientific knowledge. The foundation was established in 1994 with a mission to advance the frontiers of research in mathematics and the basic sciences, a mission that has guided its funding activities for nearly three decades.
The early years of the foundation focused primarily on mathematics and theoretical physics, supporting individual investigators and conferences in these disciplines. The establishment of the Simons Collaboration on the Global Brain in 2009 marked a significant expansion into neuroscience, reflecting the foundation's recognition that understanding the brain represented one of the most important scientific challenges of our time. The subsequent launch of SFARI in 2007 and the Simons Collaboration on Plasticity and the Aging Brain further expanded the foundation's neuroscience portfolio.
The Simons Collaboration on the Global Brain (SCGB) represents one of the foundation's flagship neuroscience initiatives, bringing together experimentalists and theorists to advance understanding of neural circuit function and dynamics. Led by David Tank of Princeton University, the collaboration supports research that combines cutting-edge neural recording technologies with computational analysis and theoretical modeling to understand how neural activity gives rise to cognition and behavior.
The SCGB research program encompasses several interconnected focus areas that address fundamental questions in systems neuroscience. Memory and cognition research examines how neural activity represents and maintains information over different timescales, investigating the mechanisms by which experiences are encoded, stored, and retrieved. Studies on decision-making and planning explore how neural circuits integrate information and guide behavior toward goals.
The collaboration's work on neural dynamics investigates how patterns of activity evolve over time to produce mental states and behaviors [@parthasarathy2023]. This research employs advanced imaging techniques that can monitor activity across large populations of neurons, revealing how information is represented in population-level patterns that cannot be understood from single-neuron recordings alone.
A distinctive feature of SCGB is its emphasis on developing new technologies for monitoring and manipulating neural activity. The collaboration has supported the development of next-generation electrophysiological recording systems, genetically encoded calcium indicators, and optical methods for controlling neural activity. These technological investments have transformed what is possible in systems neuroscience and benefited the broader research community [@panzer2024].
The collaboration has been particularly influential in advancing large-scale neural recording approaches. Projects to develop probes that can record from thousands of neurons simultaneously have enabled studies of circuit function that were previously impossible. These technologies are now being applied to questions ranging from sensory processing to decision-making to memory.
Research supported by SCGB has produced several landmark discoveries that have shaped understanding of brain function. A notable finding revealed that the brain maintains backup systems for short-term memory, with neural activity in one hemisphere capable of serving as a redundant copy that can restore information if the primary representation is disrupted [@druckmann2014]. This discovery has important implications for understanding memory function and may inform approaches to treating memory disorders.
Studies on neural representations have revealed how information is encoded in patterns of activity across neuronal populations. Research has shown that the same neural circuits can represent different information depending on context, revealing flexibility in how the brain processes and stores information. This work has implications for understanding how memories are organized and how the brain manages multiple demands on limited neural resources.
The SCGB is led by David Tank of Princeton University, with an executive committee that provides strategic guidance and oversight. The collaboration supports an interactive community of approximately 73 scientists from institutions worldwide, including experimentalists who collect neural data and theorists who develop computational models. This integration of different approaches has been essential to the collaboration's success in advancing understanding of neural circuit function.
The Simons Foundation Autism Research Initiative (SFARI) represents the foundation's dedicated program for advancing understanding of autism spectrum disorder and related neurodevelopmental conditions. With a focus on basic science, SFARI supports research that addresses the biological mechanisms underlying autism, with the goal of informing the development of effective treatments and interventions.
SFARI supports research through multiple funding mechanisms designed to support scientists at different career stages and address different types of questions. Individual investigator grants provide flexible funding for established researchers pursuing projects relevant to autism. Early career awards support promising investigators who are establishing independent research programs. Collaborative grants bring together multiple investigators to address complex questions that require diverse expertise.
The Spark program represents a major SFARI initiative to establish a large cohort of individuals with autism and their family members for research studies. This resource enables research on the genetic, biological, and behavioral features of autism across diverse populations.
The SFARI Gene database provides a comprehensive resource for researchers investigating genetic factors in autism. This curated database catalogs genes linked to autism through various types of evidence, including rare variants identified through sequencing studies and common variants identified through genome-wide association studies. The database provides information on gene function, expression patterns, and connections to other genes, enabling researchers to identify convergent biological pathways and potential therapeutic targets [@gupta2023].
SFARI Base provides a platform for approved researchers to access data and biospecimens from SFARI-funded studies. This resource includes data from the Simons Simplex Collection, Simons Searchlight, and SPARK cohorts, providing unprecedented access to genetic and phenotypic information from individuals with autism. The biorepository provides access to plasma, DNA, iPS cells, and other materials that enable diverse studies on autism biology.
SFARI supports research across multiple domains relevant to understanding and treating autism:
Genetics and Genomics: Studies on the genetic architecture of autism, including both rare and common variants, reveal how different types of genetic variation contribute to risk. Research on gene function and regulation identifies biological pathways that may be targeted therapeutically.
Neurobiology: Studies on brain development and function in autism examine how genetic risk factors affect neural development, circuit formation, and function. Research on synaptic function and plasticity reveals how autism-linked genes affect communication between neurons [@kumar2022].
Model Systems: Research using animal models and brain organoids enables study of autism biology in systems that can be manipulated experimentally. These studies reveal how specific genetic variants affect brain development and function.
Biomarkers and Outcomes: Development of biomarkers that can predict treatment response and objective outcome measures enables more efficient clinical trials and personalized treatment approaches.
The Simons Collaboration on Plasticity and the Aging Brain addresses one of the most important challenges in modern neuroscience: understanding how the aging brain maintains or loses function, and developing interventions that can promote healthy cognitive aging. This initiative examines the biological mechanisms that underlie age-related cognitive decline and identifies factors that contribute to resilience.
The collaboration investigates how the brain maintains function despite the biological changes that accompany aging. Research examines how neurons, synapses, and circuits adapt to age-related challenges, and why some individuals maintain cognitive function while others decline. This work has implications for developing interventions that can promote healthy aging and prevent age-related neurodegenerative diseases.
Studies on neural plasticity investigate how the aging brain remains capable of learning and adapting [@white2024]. Research reveals that while certain forms of plasticity decline with age, other mechanisms remain functional and can be engaged to support cognitive function. This work identifies potential targets for interventions that might enhance plasticity in the aging brain.
The collaboration's work has important implications for understanding neurodegenerative diseases that become more common with age. Research on the biological changes that accompany normal aging reveals mechanisms that may also contribute to diseases like Alzheimer's and Parkinson's. Understanding these shared mechanisms may reveal therapeutic targets that could benefit both healthy aging and neurodegenerative disease.
Studies on the immune system in the aging brain reveal how neuroimmune interactions change with age and contribute to cognitive decline [@Miller2023]. This research identifies potential interventions that might modulate immune responses to promote healthy brain aging.
The Simons Collaboration on Ecological Neuroscience (SCENE) represents an innovative approach to studying brain function by examining how natural environments shape neural representations. This collaboration investigates how the brain processes information about the environment and uses this information to guide behavior in naturalistic settings.
Research in ecological neuroscience moves beyond traditional laboratory paradigms that examine brain function in highly controlled but artificial settings. Studies conducted in natural environments reveal how the brain handles the complexity and unpredictability of real-world situations, providing insights that cannot be obtained from laboratory studies alone.
The Flatiron Institute, established by the Simons Foundation in 2016, represents a major investment in computational science that has become a significant resource for neuroscience research. Located in New York City, the institute hosts computational scientists who develop tools and techniques for analyzing complex datasets and simulating biological systems.
The neuroscience division at the Flatiron Institute develops computational approaches for analyzing neural data and modeling brain function. Projects include development of algorithms for analyzing large-scale neural recordings, simulators for modeling neural circuits, and machine learning approaches for extracting structure from complex datasets [@martinez2023].
The institute's computational resources have become essential for the neuroscience community, enabling analyses that would not be possible with local computing resources. Collaborative projects with experimentalists at other institutions bring together computational expertise with experimental data to address questions that require both approaches.
The Flatiron Institute's contributions to data science have transformed how neuroscience research is conducted. The institute has developed open-source software tools that are widely used throughout the neuroscience community, enabling standardized analysis approaches that facilitate comparison across studies. These tools have lowered barriers to sophisticated data analysis, enabling researchers who might not have computational expertise to apply advanced analytical techniques.
The Simons Foundation offers multiple funding mechanisms that support scientists at different career stages:
Simons Investigator Awards: These awards provide long-term, flexible funding for outstanding scientists whose work is advancing understanding of basic science. Investigators receive unrestricted funds that can be used to pursue research directions of their choosing.
Fellows-to-Faculty Award: This program supports postdoctoral fellows who are transitioning to faculty positions, providing funding that enables newly independent investigators to establish their research programs.
SURFiN Fellowship: The Shenoy Undergraduate Research Fellowship in Neuroscience supports students who are developing skills in neuroscience research, providing training opportunities that prepare the next generation of scientists.
Conference and Courses Awards: The foundation provides funding for scientific conferences and educational courses that advance training and dissemination of knowledge.
The Simons Foundation's work connects with numerous NeuroWiki pages: