Behrad Noudoost

Orcid: 0000-0002-1588-027X

According to our database1, Behrad Noudoost authored at least 12 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Time-varying generalized linear models: characterizing and decoding neuronal dynamics in higher visual areas.
Frontiers Comput. Neurosci., 2024

2023
Information representation in an oscillating neural field model modulated by working memory signals.
Frontiers Comput. Neurosci., 2023

2022
Modeling the Relationship between Perisaccadic Neural Responses and Location Information.
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.
J. Cogn. Neurosci., 2021

Differential Contributions of Inhibitory Subnetwork to Visual Cortical Modulations Identified via Computational Model of Working Memory.
Frontiers Comput. Neurosci., 2021

2020
The Population Map of Changes in the Spatiotemporal Sensitivity of Visual Neurons Across Saccadic Eye Movements.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Characterizing and dissociating multiple time-varying modulatory computations influencing neuronal activity.
PLoS Comput. Biol., 2019

2018
Developing a Nonstationary Computational Framework With Application to Modeling Dynamic Modulations in Neural Spiking Responses.
IEEE Trans. Biomed. Eng., 2018

Characterizing Unobserved Factors Driving Local Field Potential Dynamics Underlying A Time-Varying Spike Generation.
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.
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.
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.
J. Cogn. Neurosci., 2014


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