Behrad Noudoost

According to our database, Behrad Noudoost authored at least 10 papers between 2014 and 2022.

Collaborative distances:

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

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

2021

Dissociable Contribution of Extrastriate Responses to Representational Enhancement of Gaze Targets.

Yaser Merrikhi, Mohammad Shams-Ahmar, Hamid Karimi-Rouzbahani, Kelsey L. Clark, Reza Ebrahimpour, Behrad Noudoost

J. Cogn. Neurosci., 2021

Differential Contributions of Inhibitory Subnetwork to Visual Cortical Modulations Identified via Computational Model of Working Memory.

William H. Nesse, Zahra Bahmani, Kelsey L. Clark, Behrad Noudoost

Frontiers Comput. Neurosci., 2021

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

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

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

2014

Persistent Spatial Information in the FEF during Object-based Short-term Memory Does Not Contribute to Task Performance.

Kelsey L. Clark, Behrad Noudoost, Tirin Moore

J. Cogn. Neurosci., 2014