The assembly of population coding networks
- Institution
- UNIVERSITY OF MICHIGAN AT ANN ARBOR, MI
- Principal investigator
- Bing Ye
- Funding
- $355K
- Duration
- 2023–2028
Moonbase score
Still being scored
Abstract
PROJECT SUMMARY Population coding is a fundamental strategy that the nervous system employs to represent sensory stimulus and generate perception. In neural networks that perform population coding (termed “population coding networks (PCNs)”), input-elicited responses are quantitatively heterogeneous across neurons and the response of a single neuron does not sufficiently define the stimulus; instead, the computed response of the entire population of neurons underlies the perception of the stimulus. Despite the importance of PCNs, very little is known about how they are assembled during development. The objective of the proposed research is to identify the mechanisms that establish a PCN during development. In many PCNs, the constituent neurons are not distinguishable from each other, except by their heterogeneous physiological properties. While the apparent homogeneity of these PCNs ensures that constituent neurons contribute to the same brain function, it also poses a challenge for studying the molecular and cellular mechanisms that underlie the assembly of PCNs. A recent study reported a neural network that encodes the intensity of noxious inputs through population coding in Drosophila larvae, which offers an excellent system for studying PCN assembly. Preliminary results suggest that Hox genes are involved in establishing this PCN. The central hypothesis is that a post-mitotic Hox code specifies the synaptic inputs to different neurons along the A-P axis, establishing a population-coding network that encodes stimulus intensity. This hypothesis will be tested by identifying the cellular (Aim 1) and molecular (Aim 2) mechanisms that establish the heterogeneity of the neurons in this PCN. The proposed research is innovative because it proposes novel cellular and molecular mechanisms that generate quantitative heterogeneity in a neural network. Moreover, it will use a newly developed technique that is ideally suited for studying neuronal population activity in the PCN. Novel genetic tools have also been developed for accessing subpopulation of neurons in the PCN. This research is significant because it will provide cellular, molecular, and conceptual insights into the establishment of other PCNs in Drosophila and other species. Beyond the PCNs, it will inform how physiological heterogeneity arises in a seemingly identical group of neurons. Furthermore, the successful completion of the proposed study will also demonstrate a Hox-based matching system that establish neuronal connections confined to specific rostrocaudal segments.
LOADING MOONBASE SCORE
Questions for UNIVERSITY OF MICHIGAN AT ANN ARBOR
Answered by the team behind this research.
No questions yet. Sign in to ask the first one
Related grants
Same researchers, same institution, same topic, scored first.
- NIH · University of Michigan at Ann ArborNot yet scored
Molecular regulators of GABAergic systems that underlie comorbidities in Down syndrome
Bing Ye · $552K · 2024–2029
- NIH · University of Michigan at Ann Arbor70
Biomarkers in the Hyperbaric Oxygen in Brain Injury Treatment Trial
Frederick Kofi Korley · $559K · 2020–2027
- NIH · University of Michigan at Ann Arbor64
Identification of Mild Cognitive Impairment using Machine Learning from Language and Behavior Markers
Hiroko Hayama Dodge · $733K · 2021–2027