Behrad Noudoost

13 papers Misc 2Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Frontotemporal bursting supports human working memory. NeuroImage Vladimir Omelyusik, Tyler S. Davis, Satish S. Nair, Behrad Noudoost, Patrick D. Hackett, Elliot H. Smith, Shervin Rahimpour, John D. Rolston, Bornali Kundu
2024	J	`jnl`	Time-varying generalized linear models: characterizing and decoding neuronal dynamics in higher visual areas. Frontiers Comput. Neurosci. Geyu Weng, Kelsey L. Clark, Amir Akbarian, Behrad Noudoost, Neda Nategh
2023	J	`jnl`	Information representation in an oscillating neural field model modulated by working memory signals. Frontiers Comput. Neurosci. William H. Nesse, Kelsey L. Clark, Behrad Noudoost
2022	—	`conf`	Modeling the Relationship between Perisaccadic Neural Responses and Location Information. IEEECONF Geyu Weng, Amir Akbarian, Behrad Noudoost, Neda Nategh
2021	J	`jnl`	Differential Contributions of Inhibitory Subnetwork to Visual Cortical Modulations Identified via Computational Model of Working Memory. Frontiers Comput. Neurosci. William H. Nesse, Zahra Bahmani, Kelsey L. Clark, Behrad Noudoost
2021	J	`jnl`	Dissociable Contribution of Extrastriate Responses to Representational Enhancement of Gaze Targets. J. Cogn. Neurosci. Yaser Merrikhi, Mohammad Shams-Ahmar, Hamid Karimi-Rouzbahani, Kelsey L. Clark, Reza Ebrahimpour, Behrad Noudoost
2020	Misc	`conf`	The Population Map of Changes in the Spatiotemporal Sensitivity of Visual Neurons Across Saccadic Eye Movements. ACSSC Manish Roy, Amir Akbarian, Behrad Noudoost, Neda Nategh
2019	J	`jnl`	Characterizing and dissociating multiple time-varying modulatory computations influencing neuronal activity. PLoS Comput. Biol. Kaiser Niknam, Amir Akbarian, Kelsey L. Clark, Yasin Zamani, Behrad Noudoost, Neda Nategh
2018	—	`conf`	Characterizing Unobserved Factors Driving Local Field Potential Dynamics Underlying A Time-Varying Spike Generation. GlobalSIP Kaiser Niknam, Amir Akbarian, Behrad Noudoost, Neda Nategh
2018	J	`jnl`	Developing a Nonstationary Computational Framework With Application to Modeling Dynamic Modulations in Neural Spiking Responses. IEEE Trans. Biomed. Eng. Amir Akbarian, Kaiser Niknam, Moahammadbagher Parsa, Kelsey L. Clark, Behrad Noudoost, Neda Nategh
2017	—	`conf`	A computational model for characterizing visual information using both spikes and Local Field Potentials. NER Kaiser Niknam, Amir Akbarian, Behrad Noudoost, Neda Nategh
2017	Misc	`conf`	Model-based decoding of time-varying visual information during saccadic eye movements using population-level information. ACSSC Kaiser Niknam, Amir Akbarian, Behrad Noudoost, Neda Nategh
2014	J	`jnl`	Persistent Spatial Information in the FEF during Object-based Short-term Memory Does Not Contribute to Task Performance. J. Cogn. Neurosci. Kelsey L. Clark, Behrad Noudoost, Tirin Moore

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.