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NSF Neural Systems Grant Opportunity: Frequently Asked Questions

1) What is the NSF Neural Systems grant opportunity focused on?

The NSF Neural Systems opportunity supports research aimed at explaining how nervous systems produce complex, higher-level function through communication among cellular components and through continuous interaction with the rest of the body and the surrounding environment. A central theme is emergence, meaning the program is especially interested in how properties such as robustness, adaptability, and resilience arise from many interacting parts rather than from any single neuron, molecule, or pathway in isolation.

2) What does the program mean by an "emergence" theme?

In this context, emergence refers to system-level properties (for example, stable but flexible behavior, adaptability to changing conditions, or resilient function despite perturbations) that result from interactions across many components and levels of organization. The opportunity emphasizes understanding these properties as outcomes of networked interactions rather than single-cause explanations.

3) What kinds of research scales and time scales are supported?

The program supports projects spanning a wide range of biological scales and time scales. Proposed work may range from molecular and cellular mechanisms (such as gene regulation, neurogenesis, synaptogenesis, gliogenesis, signaling pathways, or circuit-level connectivity and dynamics) to higher-level outcomes like behavior, cognition, perception, decision-making, and action. It also supports research that considers how behavior can feed back to modify neural systems over development or even across generations.

4) Are proposals expected to connect multiple levels of biology (multi-scale research)?

Yes. The opportunity strongly encourages a systems biology mindset that connects mechanisms across levels of organization. Competitive proposals are likely to bridge levels, such as linking developmental mechanisms to adult circuit function, tying physiological regulation to behavior, or connecting sensory processing to motor output and learning.

5) What are the three programmatic areas within the Neural Systems cluster?

The cluster is organized into three interconnected areas:

• Organization: How genetic information, developmental programs, and experience or environmental exposure interact to build and shape nervous system structure and functional capacity.
• Activation: How organisms extract information from the external world and integrate it with internal state to produce perception, decisions, and actions (including sensory-motor integration and neural plasticity).
• Modulation: Emergent system-level properties that keep nervous systems stable yet flexible, including adaptive behavior, learning and memory, physiological regulation, and complex social interactions.

6) Do proposals need to fit only one of the three areas?

Not necessarily. The opportunity explicitly notes that many competitive proposals will sit at the boundaries between Organization, Activation, and Modulation, especially where development, sensory processing, and neuromodulatory or endocrine/immune influences interact.

7) What topics fall under the "Organization" area?

Organization focuses on how the nervous system is built and refined. This includes developmental neuroscience and related molecular and cellular work explaining how neural tissue and networks are assembled and shaped by genetic programs, development, experience, and environmental exposure. Examples mentioned include neurogenesis, synaptogenesis, and gliogenesis.

8) What topics fall under the "Activation" area?

Activation emphasizes how organisms sense the external world, integrate that information with internal state, and produce coordinated outputs such as perception, decisions, and actions. It includes sensory-motor integration, neural plasticity, and the transformations that convert inputs into outputs.

9) What topics fall under the "Modulation" area?

Modulation targets emergent system-level properties such as learning and memory, adaptive behavior, physiological regulation, and complex social interactions. It also encompasses influences like neuromodulatory or endocrine/immune interactions where they shape flexible and stable nervous system function.

10) Does the program encourage research that includes environmental, genetic, or evolutionary context?

Yes. The program encourages applicants to consider how environmental conditions, genetic differences, and evolutionary history shape nervous system structure and function. This includes research that examines nervous systems in real biological contexts rather than treating them as isolated components.

11) Are comparative and evolutionary studies encouraged?

Yes. A notable feature is encouragement of comparative and evolutionary approaches, including studies that leverage differences across species, populations, or ecological contexts to reveal general principles of neural design and function.

12) Is theory-driven or computational work welcomed?

Yes. The program highlights the value of theory-driven and computation-rich work, including novel modeling, analytical, or transdisciplinary approaches. The emphasis is on approaches that do more than analyze data after the fact: theory and computation are expected to guide experimental design, help interpret multi-scale observations, and generate testable predictions under varying genetic, environmental, or evolutionary constraints.

13) What does the program mean by computation that "guides experimental design"?

The opportunity indicates a preference for computational and theoretical frameworks that actively shape the research plan. This includes models or analyses that inform what experiments to run, what measurements are most informative across scales, how to interpret complex multi-scale data, and how to make testable predictions about neural system behavior under different conditions.

14) What is the funding instrument and which NSF directorate is associated with this program?

The funding instrument type is a grant. Administratively, it is a discretionary NSF program within the Biological Sciences directorate, identified under CFDA 47.074 and categorized under science and technology research and development.

15) Is cost sharing or matching required?

No cost sharing or matching requirement is noted in the information provided.

16) What is the estimated total funding amount and expected number of awards?

The listing reports an estimated total funding amount of 24,094,496 and an expected 69 awards.

17) Who is eligible to apply?

Eligibility is described as unrestricted, meaning it is broadly open to many entity types, subject to any additional eligibility clarifications in the full announcement.

18) When are proposal deadlines?

Proposal deadlines were structured on a recurring cycle with annual due dates, historically on July 12 and January 12.

19) What award size information is available, and how should it be interpreted?

The FY 2010 context provided indicates the Division of Integrative Organismal Systems funded 17 proposals with a mean annual award size of 216,556. These figures are described as a snapshot from that year and may not represent current success rates or award levels, but they provide a general sense of typical annual funding scale and competitiveness.

20) Who are the program director contacts and how do they map to the cluster areas?

The listing identifies program directors aligned with the three areas:

• Modulation: Diane M. Witt and Cedric L. Williams (areas including neuroendocrinology, neuroimmunology, behavioral neuroscience, learning and memory, autonomic regulation, and complex behavioral systems)
• Organization: James O. Deshler (developmental, molecular, and cellular neuroscience including neurogenesis, synaptogenesis, and gliogenesis)
• Activation: Karen A. Mesce (sensory-motor integration and neural plasticity)

21) What kinds of proposals are likely to be strong fits based on the description?

Based on the program description, strong proposals are likely to integrate multiple levels of analysis, connect mechanisms across biological organization, and consider developmental, environmental, and evolutionary context. The program also signals a preference for theory and computation that strengthen and direct experimental work rather than being treated as an add-on.