Barry J. Richmond

17 papers Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Behavioral Studies Reveal Functional Differences in Image Processing by Ventral Stream Areas TEO and TE. J. Cogn. Neurosci. Barry J. Richmond, Mark A. G. Eldridge
2023	J	`jnl`	Exploring strategy differences between humans and monkeys with recurrent neural networks. PLoS Comput. Biol. Ben Tsuda, Barry J. Richmond, Terrence J. Sejnowski
2022	J	`jnl`	Comparing performance between a deep neural network and monkeys with bilateral removals of visual area TE in categorizing feature-ambiguous stimuli. J. Comput. Neurosci. Narihisa Matsumoto, Mark A. G. Eldridge, J. Megan Fredericks, Kaleb A. Lowe, Barry J. Richmond
2012	J	`jnl`	Neurons as ideal change-point detectors. J. Comput. Neurosci. Hideaki Kim, Barry J. Richmond, Shigeru Shinomoto
2009	J	`jnl`	Stochasticity, spikes and decoding: sufficiency and utility of order statistics. Biol. Cybern. Barry J. Richmond
2008	J	`jnl`	Modeling the Violation of Reward Maximization and Invariance in Reinforcement Schedules. PLoS Comput. Biol. Giancarlo La Camera, Barry J. Richmond
2008	J	`jnl`	Short-Term Memory Trace in Rapidly Adapting Synapses of Inferior Temporal Cortex. PLoS Comput. Biol. Yasuko Sugase-Miyamoto, Zheng Liu, Matthew C. Wiener, Lance M. Optican, Barry J. Richmond
2006	J	`jnl`	A Comparison of Descriptive Models of a Single Spike Train by Information-Geometric Measure. Neural Comput. Hiroyuki Nakahara, Shun-ichi Amari, Barry J. Richmond
2004	J	`jnl`	Editorial Commentary. J. Comput. Neurosci. Barry J. Richmond
2003	J	`jnl`	Anomalous response variability in a balanced cortical network model. Neurocomputing John A. Hertz, Barry J. Richmond, Kristian Nilsen
1999	J	`jnl`	The relation between V1 neuronal responses and eye movement-like stimulus presentations. Neurocomputing Barry J. Richmond, John A. Hertz, Timothy J. Gawne
1997	J	`jnl`	How Well Can We Estimate the Information Carried in Neuronal Responses from Limited Samples? Neural Comput. David Golomb, John A. Hertz, Stefano Panzeri, Barry J. Richmond, Alessandro Treves
1995	J	`jnl`	Information flow and temporal coding in primate pattern vision. J. Comput. Neurosci. Joshua Heller, John A. Hertz, Troels W. Kjær, Barry J. Richmond
1994	J	`jnl`	Decoding cortical neuronal signals: Network models, information estimation and spatial tuning. J. Comput. Neurosci. Troels W. Kjær, John A. Hertz, Barry J. Richmond
1992	J	`jnl`	Measuring Natural Neural Processing with Artificial Neural Networks. Int. J. Neural Syst. John A. Hertz, Troels W. Kjær, Emad N. Eskandar, Barry J. Richmond
1991	—	`conf`	Decoding of Neuronal Signals in Visual Pattern Recognition. NIPS Emad N. Eskandar, Barry J. Richmond, John A. Hertz, Lance M. Optican, Troels W. Kjær
1991	J	`jnl`	Unbiased measures of transmitted information and channel capacity from multivariate neuronal data. Biol. Cybern. Lance M. Optican, Timothy J. Gawne, Barry J. Richmond, P. J. Joseph

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.