Neda Nategh

According to our database, Neda Nategh authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

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

2022

Modeling the Relationship between Perisaccadic Neural Responses and Location Information.

Geyu Weng, Amir Akbarian, Behrad Noudoost, Neda Nategh

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

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

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Decoding Neural Activity to Anticipate Eye Movements.

Neda Nategh

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

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

A Nonlinear Network Model with Application to Modeling the Retinal Responses.

Yasin Zamani, Neda Nategh

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Identifying High-resolution Spatiotemporal Components Contributing to the Fast Spiking Response Dynamics of Visual Neurons.

Yasin Zamani, Neda Nategh

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

A Convolutional Neural Network-based Model of Neural Pathways in the Retina.

Yasin Zamani, Neda Nategh

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Analyzing the Computational Complexity of a Dynamic Model of the Time-varying Spatiotemporal Sensitivity of Neurons in the Visual Cortex.

Yasin Zamani, Neda Nategh

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

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

Characterizing Unobserved Factors Driving Local Field Potential Dynamics Underlying A Time-Varying Spike Generation.

Kaiser Niknam, Amir Akbarian, Behrad Noudoost, Neda Nategh

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

A computational model for characterizing visual information using both spikes and Local Field Potentials.

Kaiser Niknam, Amir Akbarian, Behrad Noudoost, Neda Nategh

Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

Model-based decoding of time-varying visual information during saccadic eye movements using population-level information.

Kaiser Niknam, Amir Akbarian, Behrad Noudoost, Neda Nategh

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017