# CRCNS: Neural Representations of Time Across Scales in Natural and Artificial Networks

> **NIH NIH R01** · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · 2024 · $420,707

## Abstract

PROJECT SUMMARY (See instructions):
This proposal works towards a deeper understanding of how the brain represents information across many
time scales using a combination of neurophysiological and computational approaches. State-of-the-art
recordings from non-human primates will track the flow of information across neurons and across time
scales in multiple brain regions. Computational data analyses will compare these results from predictions
of a theory for how the brain represents information across time scales. Computational work will study the
properties of artificial neural networks inspired by the theory and with properties of the observed
neurophysiological data.

## Key facts

- **NIH application ID:** 10907552
- **Project number:** 5R01MH132171-03
- **Recipient organization:** BOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
- **Principal Investigator:** Marc W Howard
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $420,707
- **Award type:** 5
- **Project period:** 2022-09-01 → 2026-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10907552

## Citation

> US National Institutes of Health, RePORTER application 10907552, CRCNS: Neural Representations of Time Across Scales in Natural and Artificial Networks (5R01MH132171-03). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10907552. Licensed CC0.

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