Samuel A. Nastase

16 papers Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aligning brains into a shared space improves their alignment with large language models. Nat. Comput. Sci. Arnab Bhattacharjee, Zaid Zada, Haocheng Wang, Bobbi Aubrey, Werner K. Doyle, Patricia Dugan, Daniel Friedman, Orrin Devinsky, Adeen Flinker, Peter J. Ramadge, Uri Hasson, Ariel Goldstein, Samuel A. Nastase
2025	J	`jnl`	Larger language models better align with the reading brain. Nat. Comput. Sci. Samuel A. Nastase
2025	J	`jnl`	Monitoring Attention in Self and Others. J. Cogn. Neurosci. Isaac R. Christian, Samuel A. Nastase, Mindy Yu, Kirsten Ziman, Michael S. A. Graziano
2023	J	`jnl`	The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models. CoRR Ariel Goldstein, Eric Ham, Mariano Schain, Samuel A. Nastase, Zaid Zada, Avigail Dabush, Bobbi Aubrey, Harshvardhan Gazula, Amir Feder, Werner K. Doyle, Sasha Devore, Patricia Dugan, Daniel Friedman, Roi Reichart, Michael P. Brenner, Avinatan Hassidim, Orrin Devinsky, Adeen Flinker, Omer Levy, Uri Hasson
2023	J	`jnl`	The single- and dual-brain mechanisms underlying the adviser's confidence expression strategy switching during influence management. NeuroImage Enhui Xie, Mengdie Liu, Keshuang Li, Samuel A. Nastase, Xiaoxue Gao, Xianchun Li
2022	J	`jnl`	High-Order Areas and Auditory Cortex Both Represent the High-Level Event Structure of Music. J. Cogn. Neurosci. Jamal A. Williams, Elizabeth H. Margulis, Samuel A. Nastase, Janice Chen, Uri Hasson, Kenneth A. Norman, Christopher Baldassano
2021	J	`jnl`	Brain kernel: A new spatial covariance function for fMRI data. NeuroImage Anqi Wu, Samuel A. Nastase, Christopher Baldassano, Nicholas B. Turk-Browne, Kenneth A. Norman, Barbara E. Engelhardt, Jonathan W. Pillow
2021	J	`jnl`	Hybrid hyperalignment: A single high-dimensional model of shared information embedded in cortical patterns of response and functional connectivity. NeuroImage Erica L. Busch, Lukas Slipski, Feilong Ma, J. Swaroop Guntupalli, Matteo Visconti di Oleggio Castello, Jeremy F. Huckins, Samuel A. Nastase, Maria Ida Gobbini, Tor D. Wager, James V. Haxby
2020	J	`jnl`	Keep it real: rethinking the primacy of experimental control in cognitive neuroscience. NeuroImage Samuel A. Nastase, Ariel Goldstein, Uri Hasson
2020	J	`jnl`	Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space. NeuroImage Samuel A. Nastase, Yun-Fei Liu, Hanna Hillman, Kenneth A. Norman, Uri Hasson
2020	J	`jnl`	Naturalistic stimuli reveal a dominant role for agentic action in visual representation. NeuroImage James V. Haxby, Maria Ida Gobbini, Samuel A. Nastase
2019	J	`jnl`	Data-Efficient Mutual Information Neural Estimator. CoRR Xiao Lin, Indranil Sur, Samuel A. Nastase, Ajay Divakaran, Uri Hasson, Mohamed R. Amer
2018	J	`jnl`	Cross-modal and non-monotonic representations of statistical regularity are encoded in local neural response patterns. NeuroImage Samuel A. Nastase, Ben Davis, Uri Hasson
2018	J	`jnl`	Reliable individual differences in fine-grained cortical functional architecture. NeuroImage Feilong Ma, Samuel A. Nastase, J. Swaroop Guntupalli, James V. Haxby
2016	—	`conf`	Cross-modal searchlight classification: methodological challenges and recommended solutions. PRNI Samuel A. Nastase, Yaroslav O. Halchenko, Ben Davis, Uri Hasson
2015	J	`jnl`	Connectivity in the human brain dissociates entropy and complexity of auditory inputs. NeuroImage Samuel A. Nastase, Vittorio Iacovella, Ben Davis, Uri Hasson

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.