Novel circuit mapping strategies to reverse engineer the retina

对视网膜进行逆向工程的新颖电路映射策略

• 批准号: 8952434
• 负责人: Gregory William Schwartz
• 金额: $ 231.75万
• 依托单位: NORTHWESTERN UNIVERSITY AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-30 至 2020-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8952434
• 关键词: Biological Models; Biophysics; Brain; Brain Mapping; Cells; Characteristics; Diagnosis; Engineering; Human; Knowledge; Light; Link; Maps; Measurement; Measures; Modeling; Mus; Neurons; Neurosciences; Output; Pattern; Property; Research Personnel; Retina; Retinal Diseases; Retinal Ganglion Cells; Synapses; System; Techniques; Vision; biophysical properties; cell type; extrastriate visual cortex; frontier; improved; insight; neural circuit; novel; public health relevance; segregation; visual process; visual processing

 DESCRIPTION (provided by applicant): Developing a deeper understanding of brain function requires researchers to connect the different levels of analysis that have characterized the field of neuroscience. In particular, the frontier of systems neuroscience is to reveal how the biophysical properties of neurons and the pattern and characteristics of their synaptic connections together give rise to a functional neural circuit. Measurements of neuronal biophysics, anatomical connectivity, synaptic currents, and circuit function are rarely performed on the same cells, and this experimental limitation has been a barrier to our integration of knowledge across these different levels. My proposal describes new techniques to classify cell types and measure anatomical connectivity, synaptic properties, and circuit output all in the same neurons. It also includes a new theoretical framework to integrate these measurements into a model to predict circuit function given its natural input. The neural circuits of the mouse retina provide an ideal model system for this integrated approach because of our extensive knowledge of cell types and the experimental accessibility of the retina, in which it can be stimulated with its natural input (patterns of light) while recording its full output (the spike trins of retinal ganglion cells). In addition to their impact as templates for the integration of measurements across levels to predict circuit function, the circuit maps of the mouse retina will provide critical insights into the segregation of visual processing between the retina and downstream visual areas in the brain. Detailed models linking synaptic connectivity to function will also aid in the diagnosis and treatment of retinal disease by associating particular circuit components with specific types of visual processing.



项目成果

Circuit Mechanisms of a Retinal Ganglion Cell with Stimulus-Dependent Response Latency and Activation Beyond Its Dendrites.

• DOI: 10.1016/j.cub.2016.12.033
• 发表时间: 2017-02-20
• 期刊: Current biology : CB
• 作者: Mani A;Schwartz GW
• 通讯作者: Schwartz GW

Identification of retinal ganglion cell types and brain nuclei expressing the transcription factor Brn3c/Pou4f3 using a Cre recombinase knock-in allele.

• DOI: 10.1002/cne.25065
• 发表时间: 2021-06
• 期刊: The Journal of comparative neurology
• 作者: Parmhans N;Fuller AD;Nguyen E;Chuang K;Swygart D;Wienbar SR;Lin T;Kozmik Z;Dong L;Schwartz GW;Badea TC
• 通讯作者: Badea TC

The dynamic receptive fields of retinal ganglion cells.

视网膜神经节细胞的动态感受野。

• DOI: 10.1016/j.preteyeres.2018.06.003
• 发表时间: 2018
• 期刊: Progress in retinal and eye research
• 影响因子: 17.8
• 作者: Wienbar,Sophia;Schwartz,GregoryW
• 通讯作者: Schwartz,GregoryW

Differences in spike generation instead of synaptic inputs determine the feature selectivity of two retinal cell types.

• DOI: 10.1016/j.neuron.2022.04.012
• 发表时间: 2022-07-06
• 期刊: NEURON
• 影响因子: 16.2
• 作者: Wienbar, Sophia;Schwartz, Gregory William
• 通讯作者: Schwartz, Gregory William

Electrical synapses convey orientation selectivity in the mouse retina.

• DOI: 10.1038/s41467-017-01980-9
• 发表时间: 2017-12-11
• 期刊: Nature communications
• 影响因子: 16.6
• 作者: Nath A;Schwartz GW
• 通讯作者: Schwartz GW