Damien Depannemaecker

12 papers Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A next generation neural mass model with neuromodulation. J. Comput. Neurosci. Damien Depannemaecker, Chloé Duprat, Gabriele Casagrande, Marisa Saggio, Anastasios Polykarpos Athanasiadis, Marianna Angiolelli, Carola Sales Carbonell, Huifang Wang, Spase Petkoski, Pierpaolo Sorrentino, Anthony Randal McIntosh, Hiba Sheheitli, Viktor K. Jirsa
2025	J	`jnl`	Dynamics and Bifurcation Structure of a Mean-Field Model of Adaptive Exponential Integrate-and-Fire Networks. Neural Comput. Lionel Kusch, Damien Depannemaecker, Alain Destexhe, Viktor K. Jirsa
2025	—	`conf`	Effect of Neuromodulation on the Brain Dynamical Repertoire. ICANN (1) Damien Depannemaecker, Gabriele Casagrande, Augustinas Povilas Fedaravicius, Ausra Saudargiene, Pierpaolo Sorrentino, Viktor K. Jirsa, Maria Luisa Saggio
2025	J	`jnl`	Modeling impairment of ionic regulation with extended Adaptive Exponential integrate-and-fire models. J. Comput. Neurosci. Damien Depannemaecker, Federico Tesler, Mathieu Desroches, Viktor K. Jirsa, Alain Destexhe
2025	J	`jnl`	Would you publish unrealistic models? Biol. Cybern. Damien Depannemaecker
2024	J	`jnl`	A Mean Field to Capture Asynchronous Irregular Dynamics of Conductance-Based Networks of Adaptive Quadratic Integrate-and-Fire Neuron Models. Neural Comput. Christoffer G. Alexandersen, Chloé Duprat, Aitakin Ezzati, Pierre Houzelstein, Ambre Ledoux, Yuhong Liu, Sandra Saghir, Alain Destexhe, Federico Tesler, Damien Depannemaecker
2024	J	`jnl`	Does Deep Learning Have Epileptic Seizures? On the Modeling of the Brain. Cogn. Comput. Damien Depannemaecker, Léo Pio-Lopez, Christophe Gauld
2022	J	`jnl`	A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics. Frontiers Comput. Neurosci. Jennifer S. Goldman, Lionel Kusch, David Aquilue, Bahar Hazal Yalçinkaya, Damien Depannemaecker, Kevin Ancourt, Trang-Anh E. Nghiem, Viktor K. Jirsa, Alain Destexhe
2022	J	`jnl`	A unified physiological framework of transitions between seizures, sustained ictal activity and depolarization block at the single neuron level. J. Comput. Neurosci. Damien Depannemaecker, Anton Ivanov, Davide Lillo, Len Spek, Christophe Bernard, Viktor K. Jirsa
2022	J	`jnl`	Mean-field based framework for forward modeling of LFP and MEG signals. Frontiers Comput. Neurosci. Federico Tesler, Núria Tort-Colet, Damien Depannemaecker, Mallory Carlu, Alain Destexhe
2021	J	`jnl`	Conductance-Based Adaptive Exponential Integrate-and-Fire Model. Neural Comput. Tomasz Górski, Damien Depannemaecker, Alain Destexhe
2020	J	`jnl`	Realistic spiking neural network: Non-synaptic mechanisms improve convergence in cell assembly. Neural Networks Damien Depannemaecker, Luiz Eduardo Canton Santos, Antônio Márcio Rodrigues, Carla Alessandra Scorza, Fulvio Alexandre Scorza, Antônio-Carlos Guimarães de Almeida

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.