Paul H. E. Tiesinga

50 papers Journal 49

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond the Nobel prizes: towards new synergies between Computational Neuroscience and Artificial Intelligence. Biol. Cybern. Jean-Marc Fellous, Peter J. Thomas, Paul H. E. Tiesinga, Benjamin Lindner
2024	J	`jnl`	Analyzing Thalamocortical Tract-Tracing Experiments in a Common Reference Space. Neuroinformatics Nestor Timonidis, Mario Rubio-Teves, Carmen Alonso-Martínez, Rembrandt Bakker, María García-Amado, Paul H. E. Tiesinga, Francisco Clascá
2023	J	`jnl`	Translating single-neuron axonal reconstructions into meso-scale connectivity statistics in the mouse somatosensory thalamus. Frontiers Neuroinformatics Nestor Timonidis, Rembrandt Bakker, Mario Rubio-Teves, Carmen Alonso-Martínez, María García-Amado, Francisco Clascá, Paul H. E. Tiesinga
2022	J	`jnl`	A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility. Neuroinformatics Mathew Birdsall Abrams, Jan G. Bjaalie, Samir Das, Gary F. Egan, Satrajit S. Ghosh, Wojtek James Goscinski, Jeffrey S. Grethe, Jeanette Hellgren Kotaleski, Eric Tatt Wei Ho, David N. Kennedy, Linda J. Lanyon, Trygve B. Leergaard, Helen S. Mayberg, Luciano Milanesi, Roman Moucek, Jean-Baptiste Poline, Prasun Roy, Stephen C. Strother, Tong Boon Tang, Paul H. E. Tiesinga, Thomas Wachtler, Daniel K. Wójcik, Maryann E. Martone
2022	J	`jnl`	Correction to: A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility. Neuroinformatics Mathew Birdsall Abrams, Jan G. Bjaalie, Samir Das, Gary F. Egan, Satrajit S. Ghosh, Wojtek James Goscinski, Jeffrey S. Grethe, Jeanette Hellgren Kotaleski, Eric Tatt Wei Ho, David N. Kennedy, Linda J. Lanyon, Trygve B. Leergaard, Helen S. Mayberg, Luciano Milanesi, Roman Moucek, Jean-Baptiste Poline, Prasun Roy, Stephen C. Strother, Tong Boon Tang, Paul H. E. Tiesinga, Thomas Wachtler, Daniel K. Wójcik, Maryann E. Martone
2022	J	`jnl`	Geodesic-based distance reveals nonlinear topological features in neural activity from mouse visual cortex. Biol. Cybern. Kosio Beshkov, Paul H. E. Tiesinga
2022	J	`jnl`	Learning at Variable Attentional Load Requires Cooperation of Working Memory, Meta-learning, and Attention-augmented Reinforcement Learning. J. Cogn. Neurosci. Thilo Womelsdorf, Marcus R. Watson, Paul H. E. Tiesinga
2022	J	`jnl`	Recommendations for repositories and scientific gateways from a neuroscience perspective. CoRR Malin Sandström, Mathew Birdsall Abrams, Jan G. Bjaalie, Mona Hicks, David N. Kennedy, Arvind Kumar, Jean-Baptiste Poline, Prasun Roy, Paul H. E. Tiesinga, Thomas Wachtler, Wojtek Goscinski
2021	J	`jnl`	Biological Cybernetics: 60 years and more to come. Biol. Cybern. Benjamin Lindner, Peter J. Thomas, Jean-Marc Fellous, Paul H. E. Tiesinga
2021	J	`jnl`	Comprehensive characterization of oscillatory signatures in a model circuit with PV- and SOM-expressing interneurons. Biol. Cybern. Marije ter Wal, Paul H. E. Tiesinga
2021	J	`jnl`	Flexible Frequency Switching in Adult Mouse Visual Cortex Is Mediated by Competition Between Parvalbumin and Somatostatin Expressing Interneurons. Neural Comput. Justin W. M. Domhof, Paul H. E. Tiesinga
2021	J	`jnl`	Uncovering Statistical Links Between Gene Expression and Structural Connectivity Patterns in the Mouse Brain. Neuroinformatics Nestor Timonidis, Alberto Llera, Paul H. E. Tiesinga
2020	J	`jnl`	FEMfuns: A Volume Conduction Modeling Pipeline that Includes Resistive, Capacitive or Dispersive Tissue and Electrodes. Neuroinformatics Meron Vermaas, Maria Carla Piastra, Thom F. Oostendorp, Nick F. Ramsey, Paul H. E. Tiesinga
2020	J	`jnl`	Prediction of a Cell-Class-Specific Mouse Mesoconnectome Using Gene Expression Data. Neuroinformatics Nestor Timonidis, Rembrandt Bakker, Paul H. E. Tiesinga
2019	J	`jnl`	Sensitivity to Stimulus Irregularity Is Inherent in Neural Networks. Neural Comput. Teun van Gils, Paul H. E. Tiesinga, Bernhard Englitz, Marijn B. Martens
2018	J	`jnl`	Characterization of network structure in stereoEEG data using consensus-based partial coherence. NeuroImage Marije ter Wal, Pasquale Cardellicchio, Giorgio Lo Russo, Veronica Pelliccia, Pietro Avanzini, Guy A. Orban, Paul H. E. Tiesinga
2017	J	`jnl`	Anti-correlations in the degree distribution increase stimulus detection performance in noisy spiking neural networks. J. Comput. Neurosci. Marijn B. Martens, Arthur R. Houweling, Paul H. E. Tiesinga
2017	J	`jnl`	Phase Difference between Model Cortical Areas Determines Level of Information Transfer. Frontiers Comput. Neurosci. Marije ter Wal, Paul H. E. Tiesinga
2017	J	`jnl`	The missing link: Predicting connectomes from noisy and partially observed tract tracing data. PLoS Comput. Biol. Max Hinne, Annet Meijers, Rembrandt Bakker, Paul H. E. Tiesinga, Morten Mørup, Marcel A. J. van Gerven
2017	J	`jnl`	Top-down control of cortical gamma-band communication via pulvinar induced phase shifts in the alpha rhythm. PLoS Comput. Biol. Silvan C. Quax, Ole Jensen, Paul H. E. Tiesinga
2015	J	`jnl`	A Developmental Switch for Hebbian Plasticity. PLoS Comput. Biol. Marijn B. Martens, Tansu Celikel, Paul H. E. Tiesinga
2015	J	`jnl`	How to detect the Granger-causal flow direction in the presence of additive noise? NeuroImage Martin A. Vinck, Lisanne Huurdeman, Conrado A. Bosman, Pascal Fries, Francesco P. Battaglia, Cyriel M. A. Pennartz, Paul H. E. Tiesinga
2015	J	`jnl`	The Scalable Brain Atlas: Instant Web-Based Access to Public Brain Atlases and Related Content. Neuroinformatics Rembrandt Bakker, Paul H. E. Tiesinga, Rolf Kötter
2014	J	`jnl`	Dependence of V2 illusory contour response on V1 cell properties and topographic organization. Biol. Cybern. Amelia Cohen, Calin I. Buia, Paul H. E. Tiesinga
2014	—	`ch.`	Hippocampal Oscillations, Mechanisms (PING, ING, Sparse). Encyclopedia of Computational Neuroscience Marije ter Wal, Paul H. E. Tiesinga
2014	J	`jnl`	Separating burst from Background Spikes in multichannel neuronal recordings using Return Map Analysis. Int. J. Neural Syst. Marijn B. Martens, Michela Chiappalone, Dirk Schubert, Paul H. E. Tiesinga
2013	J	`jnl`	Simultaneous stability and sensitivity in model cortical networks is achieved through anti-correlations between the in- and out-degree of connectivity. Frontiers Comput. Neurosci. Juan Carlos Vasquez, Arthur R. Houweling, Paul H. E. Tiesinga
2012	J	`jnl`	Multiple Spike Time Patterns Occur at Bifurcation Points of Membrane Potential Dynamics. PLoS Comput. Biol. J. Vincent Toups, Jean-Marc Fellous, Peter J. Thomas, Terrence J. Sejnowski, Paul H. E. Tiesinga
2011	J	`jnl`	Finding the Event Structure of Neuronal Spike Trains. Neural Comput. J. Vincent Toups, Jean-Marc Fellous, Peter J. Thomas, Terrence J. Sejnowski, Paul H. E. Tiesinga
2009	J	`jnl`	Spatial attention in area V4 is mediated by circuits in primary visual cortex. Neural Networks Paul H. E. Tiesinga, Calin I. Buia
2006	J	`jnl`	A biophysical model of frequency-sweep selectivity in primary auditory cortex. Neurocomputing Christian H. Kasess, Calin I. Buia, Paul H. E. Tiesinga
2006	J	`jnl`	Attentional modulation of firing rate and synchrony in a model cortical network. J. Comput. Neurosci. Calin I. Buia, Paul H. E. Tiesinga
2006	J	`jnl`	Methods for finding and validating neural spike patterns. Neurocomputing J. Vincent Toups, Paul H. E. Tiesinga
2006	J	`jnl`	Stimulus competition by inhibitory interference. Neurocomputing Paul H. E. Tiesinga
2005	J	`jnl`	Rapid temporal modulation of synchrony in cortical interneuron networks with synaptic plasticity. Neurocomputing Calin I. Buia, Paul H. E. Tiesinga
2005	J	`jnl`	Stimulus Competition by Inhibitory Interference. Neural Comput. Paul H. E. Tiesinga
2005	J	`jnl`	The Possible Role of Spike Patterns in Cortical Information Processing. J. Comput. Neurosci. Paul H. E. Tiesinga, J. Vincent Toups
2004	J	`jnl`	Rapid Temporal Modulation of Synchrony by Competition in Cortical Interneuron Networks. Neural Comput. Paul H. E. Tiesinga, Terrence J. Sejnowski
2004	J	`jnl`	Synchronization as a mechanism for attentional gain modulation. Neurocomputing Paul H. E. Tiesinga, Jean-Marc Fellous, Emilio Salinas, Jorge V. José, Terrence J. Sejnowski
2003	J	`jnl`	A new correlation-based measure of spike timing reliability. Neurocomputing Susanne Schreiber, Jean-Marc Fellous, D. Whitmer, Paul H. E. Tiesinga, Terrence J. Sejnowski
2003	J	`jnl`	Reliability and bifurcation in neurons driven by multiple sinusoids. Neurocomputing Peter J. Thomas, Paul H. E. Tiesinga, Jean-Marc Fellous, Terrence J. Sejnowski
2002	J	`jnl`	Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains. Neural Comput. Paul H. E. Tiesinga, Jean-Marc Fellous, Terrence J. Sejnowski
2002	J	`jnl`	Entrainment, Arnold tongues, and duality in a periodically driven integrate-and-fire model. Neurocomputing Joaquín Escalona, Jorge V. José, Paul H. E. Tiesinga
2002	J	`jnl`	Spike-time reliability of periodically driven integrate-and-fire neurons. Neurocomputing Paul H. E. Tiesinga, Jean-Marc Fellous, Terrence J. Sejnowski
2001	J	`jnl`	Computational model of carbachol-induced delta, theta and gamma-like oscillations in hippocampus. Neurocomputing Jean-Marc Fellous, Paul H. E. Tiesinga, Jorge V. José, Terrence J. Sejnowski
2001	J	`jnl`	Optimal information transfer in synchronized neocortical neurons. Neurocomputing Paul H. E. Tiesinga, Jean-Marc Fellous, Jorge V. José, Terrence J. Sejnowski
2000	J	`jnl`	Driven by inhibition. Neurocomputing Paul H. E. Tiesinga, Jorge V. José
2000	J	`jnl`	Model of carbachol-induced gamma-frequency oscillations in hippocampus. Neurocomputing S. Zhang, Jorge V. José, Paul H. E. Tiesinga
2000	J	`jnl`	Synchronous Clusters in a Noisy Inhibitory Neural Network. J. Comput. Neurosci. Paul H. E. Tiesinga, Jorge V. José
1999	J	`jnl`	Spiking statistics in noisy hippocampal interneurons. Neurocomputing Paul H. E. Tiesinga, Jorge V. José

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.