Model-based decoding of time-varying visual information during saccadic eye movements using population-level information. - Kaiser Niknam; Amir Akbarian; Behrad Noudoost; Neda Nategh (ACSSC, 2017)

A computational model for characterizing visual information using both spikes and Local Field Potentials. - Kaiser Niknam; Amir Akbarian; Behrad Noudoost; Neda Nategh (NER, 2017)

Characterizing Unobserved Factors Driving Local Field Potential Dynamics Underlying A Time-Varying Spike Generation. - Kaiser Niknam; Amir Akbarian; Behrad Noudoost; Neda Nategh (GlobalSIP, 2018)

Developing a Nonstationary Computational Framework With Application to Modeling Dynamic Modulations in Neural Spiking Responses. - Amir Akbarian; Kaiser Niknam; Moahammadbagher Parsa; Kelsey L. Clark; Behrad Noudoost; Neda Nategh (IEEE Trans. Biomed. Eng., 2018)

Analyzing the Computational Complexity of a Dynamic Model of the Time-varying Spatiotemporal Sensitivity of Neurons in the Visual Cortex. - Yasin Zamani; Neda Nategh (ACSSC, 2019)

A Convolutional Neural Network-based Model of Neural Pathways in the Retina. - Yasin Zamani; Neda Nategh (EMBC, 2019)

Identifying High-resolution Spatiotemporal Components Contributing to the Fast Spiking Response Dynamics of Visual Neurons. - Yasin Zamani; Neda Nategh (GlobalSIP, 2019)

A Nonlinear Network Model with Application to Modeling the Retinal Responses. - Yasin Zamani; Neda Nategh (NER, 2019)

Characterizing and dissociating multiple time-varying modulatory computations influencing neuronal activity. - Kaiser Niknam; Amir Akbarian; Kelsey L. Clark; Yasin Zamani; Behrad Noudoost; Neda Nategh (PLoS Comput. Biol., 2019)

Decoding Neural Activity to Anticipate Eye Movements. - Neda Nategh (ACSSC, 2020)

The Population Map of Changes in the Spatiotemporal Sensitivity of Visual Neurons Across Saccadic Eye Movements. - Manish Roy; Amir Akbarian; Behrad Noudoost; Neda Nategh (ACSSC, 2020)

Modeling the Relationship between Perisaccadic Neural Responses and Location Information. - Geyu Weng; Amir Akbarian; Behrad Noudoost; Neda Nategh (IEEECONF, 2022)

Time-varying generalized linear models: characterizing and decoding neuronal dynamics in higher visual areas. - Geyu Weng; Kelsey L. Clark; Amir Akbarian; Behrad Noudoost; Neda Nategh (Frontiers Comput. Neurosci., 2024)