日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

A universal power law optimizes energy and representation fidelity in visual adaptation

普遍幂律优化了视觉适应中的能量和表征保真度。

Mariani, Matteo; Moosavi, S Amin; Ringach, Dario L; Dipoppa, Mario

Adaptation shapes the representational geometry in mouse V1 to efficiently encode the environment

适应性塑造了小鼠V1区的表征几何结构,使其能够有效地编码环境。

Dipoppa, Mario; Nogueira, Ramon; Bugeon, Stéphane; Friedman, Yoni; Reddy, Charu B; Harris, Kenneth D; Ringach, Dario L; Miller, Kenneth D; Carandini, Matteo; Fusi, Stefano

Circuit-Based Understanding of Fine Spatial Scale Clustering of Orientation Tuning in Mouse Visual Cortex

基于回路的小鼠视觉皮层方向调谐精细空间尺度聚类理解

Yu, Peijia; Yang, Yuhan; Gozel, Olivia; Oldenburg, Ian; Dipoppa, Mario; Rossi, L Federico; Miller, Kenneth; Adesnik, Hillel; Ji, Na; Doiron, Brent

Contrast gain control is a reparameterization of a population response curve

对比度增益控制是对群体响应曲线的重新参数化

Tring, Elaine; Moosavi, S Amin; Dipoppa, Mario; Ringach, Dario L

On the contrast response function of adapted neural populations

关于适应性神经元群体的对比响应函数

Tring, Elaine; Dipoppa, Mario; Ringach, Dario L

A power law describes the magnitude of adaptation in neural populations of primary visual cortex

幂律描述了初级视觉皮层神经元群体的适应程度。

Tring, Elaine; Dipoppa, Mario; Ringach, Dario L

A power law of cortical adaptation

皮层适应的幂律

Tring, Elaine; Dipoppa, Mario; Ringach, Dario L

Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders

利用半监督变分自编码器对动物行为视频中的变异性进行划分

Whiteway, Matthew R; Biderman, Dan; Friedman, Yoni; Dipoppa, Mario; Buchanan, E Kelly; Wu, Anqi; Zhou, John; Bonacchi, Niccolò; Miska, Nathaniel J; Noel, Jean-Paul; Rodriguez, Erica; Schartner, Michael; Socha, Karolina; Urai, Anne E; Salzman, C Daniel; Cunningham, John P; Paninski, Liam

A Disinhibitory Circuit for Contextual Modulation in Primary Visual Cortex.

初级视觉皮层中用于情境调节的去抑制回路

Keller Andreas J, Dipoppa Mario, Roth Morgane M, Caudill Matthew S, Ingrosso Alessandro, Miller Kenneth D, Scanziani Massimo