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2020 – today
- 2024
[j3]Geyu Weng, Kelsey L. Clark, Amir Akbarian, Behrad Noudoost, Neda Nategh:
Time-varying generalized linear models: characterizing and decoding neuronal dynamics in higher visual areas. Frontiers Comput. Neurosci. 18 (2024)- 2022
- [c10]Geyu Weng
, Amir Akbarian, Behrad Noudoost, Neda Nategh:
Modeling the Relationship between Perisaccadic Neural Responses and Location Information. IEEECONF 2022: 451-454 - 2020
- [c9]Manish Roy, Amir Akbarian, Behrad Noudoost, Neda Nategh:
The Population Map of Changes in the Spatiotemporal Sensitivity of Visual Neurons Across Saccadic Eye Movements. ACSSC 2020: 97-100 - [c8]Neda Nategh:
Decoding Neural Activity to Anticipate Eye Movements. ACSSC 2020: 375-378
2010 – 2019
- 2019
- [j2]Kaiser Niknam, Amir Akbarian, Kelsey L. Clark, Yasin Zamani, Behrad Noudoost, Neda Nategh:
Characterizing and dissociating multiple time-varying modulatory computations influencing neuronal activity. PLoS Comput. Biol. 15(9) (2019) - [c7]Yasin Zamani, Neda Nategh:
Analyzing the Computational Complexity of a Dynamic Model of the Time-varying Spatiotemporal Sensitivity of Neurons in the Visual Cortex. ACSSC 2019: 1714-1718 - [c6]Yasin Zamani, Neda Nategh:
A Convolutional Neural Network-based Model of Neural Pathways in the Retina. EMBC 2019: 6906-6909 - [c5]Yasin Zamani, Neda Nategh:
Identifying High-resolution Spatiotemporal Components Contributing to the Fast Spiking Response Dynamics of Visual Neurons. GlobalSIP 2019: 1-4 - [c4]Yasin Zamani, Neda Nategh:
A Nonlinear Network Model with Application to Modeling the Retinal Responses. NER 2019: 1007-1010 - 2018
- [j1]Amir Akbarian, Kaiser Niknam, Moahammadbagher Parsa, Kelsey L. Clark, Behrad Noudoost, Neda Nategh:
Developing a Nonstationary Computational Framework With Application to Modeling Dynamic Modulations in Neural Spiking Responses. IEEE Trans. Biomed. Eng. 65(2): 241-253 (2018) - [c3]Kaiser Niknam, Amir Akbarian, Behrad Noudoost, Neda Nategh:
Characterizing Unobserved Factors Driving Local Field Potential Dynamics Underlying A Time-Varying Spike Generation. GlobalSIP 2018: 464-468 - 2017
- [c2]Kaiser Niknam, Amir Akbarian, Behrad Noudoost, Neda Nategh:
Model-based decoding of time-varying visual information during saccadic eye movements using population-level information. ACSSC 2017: 1491-1495 - [c1]Kaiser Niknam, Amir Akbarian, Behrad Noudoost, Neda Nategh:
A computational model for characterizing visual information using both spikes and Local Field Potentials. NER 2017: 656-659
Coauthor Index
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