Discovery Projects - Grant ID: DP200101847

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP200101847

Funding Status
Closed

Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the .

Funded Activity Summary

How do patterns of brain activity emerge during early life? This project uses theory and experiment to investigate how neural coding emerges in the developing brain. It adopts the larval zebrafish as a model system, because neural activity can be recorded at whole-brain scale but with single neuron resolution. The project expects to generate new knowledge regarding how neural activity comes to represent sensory stimuli, and new statistical models for interpreting large-scale patterns of neural activity. This will provide significant benefits including greater insight into normal brain development, and the formulation of new concepts potentially relevant for brain-inspired computing. The expected outcomes also include enhanced capacity at the interface between neuroscience and computation.

Funded Activity Details

Start Date: 01-01-2020

End Date: 18-11-2022

Funding Scheme: Discovery Projects

Funding Amount: $610,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Central Nervous System | Neurocognitive Patterns and Neural Networks | Neural, Evolutionary and Fuzzy Computation | Neurosciences

ANZSRC Socio-Economic Objective (SEO)

Nervous System and Disorders | Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Biological Sciences |

Other Keywords

Central Nervous System | Expanding Knowledge in the Biological Sciences | Expanding Knowledge in the Information and Computing Sciences | Nervous System and Disorders | Neural, Evolutionary and Fuzzy Computation | Neurocognitive Patterns and Neural Networks | Neurosciences

Related Links