Younes Bouhadjar

According to our database, Younes Bouhadjar authored at least 22 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

Sparse Axonal and Dendritic Delays Enable Competitive SNNs for Keyword Classification.

Younes Bouhadjar, Emre Neftci

CoRR, February, 2026

Dissecting Linear Recurrent Models: How Different Gating Strategies Drive Selectivity and Generalization.

Younes Bouhadjar, Maxime Fabre, Felix Schmidt, Emre Neftci

CoRR, January, 2026

2025

SymSeqBench: a unified framework for the generation and analysis of rule-based symbolic sequences and datasets.

Barna Zajzon, Younes Bouhadjar, Maxime Fabre, Felix Schmidt, Noah Ostendorf, Emre Neftci, Abigail Morrison, Renato C. Duarte

CoRR, December, 2025

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models.

Sebastian Siegel, Ming-Jay Yang, Younes Bouhadjar, Maxime Fabre, Emre Neftci, John Paul Strachan

CoRR, July, 2025

Unsupervised online learning of complex sequences in spiking neuronal networks.

Younes Bouhadjar, Melissa Lober, Emre Neftci, Markus Diesmann, Tom Tetzlaff

Proceedings of the International Conference on Neuromorphic Systems, 2025

2024

NESTML 8.0.0.

Charl A. P. Linssen, Pooja N. Babu, Younes Bouhadjar, Leander Ewert, Willem Wybo, Melissa Lober, Florian Feiler, Bernhard Rumpe, Abigail Morrison

Dataset, December, 2024

Unsupervised Learning of Spatio-Temporal Patterns in Spiking Neuronal Networks.

Florian Feiler, Emre Neftci, Younes Bouhadjar

Proceedings of the International Conference on Neuromorphic Systems, 2024

2023

Sequence learning in a spiking neuronal network with memristive synapses.

Younes Bouhadjar, Sebastian Siegel, Tom Tetzlaff, Markus Diesmann, Rainer Waser, Dirk J. Wouters

Neuromorph. Comput. Eng., September, 2023

System model of neuromorphic sequence learning on a memristive crossbar array.

Sebastian Siegel, Younes Bouhadjar, Tom Tetzlaff, Rainer Waser, Regina Dittmann, Dirk J. Wouters

Neuromorph. Comput. Eng., June, 2023

A brain inspired sequence learning algorithm and foundations of a memristive hardware implementation.

Younes Bouhadjar

PhD thesis, 2023

Coherent noise enables probabilistic sequence replay in spiking neuronal networks.

Younes Bouhadjar, Dirk J. Wouters, Markus Diesmann, Tom Tetzlaff

PLoS Comput. Biol., 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.

Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, P. Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi

CoRR, 2023

Demonstration of neuromorphic sequence learning on a memristive array.

Sebastian Siegel, Tobias Ziegler, Younes Bouhadjar, Tom Tetzlaff, Rainer Waser, Regina Dittmann, Dirk J. Wouters

Proceedings of the Neuro-Inspired Computational Elements Conference, 2023

Skip Connections in Spiking Neural Networks: An Analysis of Their Effect on Network Training.

Hadjer Benmeziane, Amine Ziad Ounnoughene, Imane Hamzaoui, Younes Bouhadjar

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022

Sequence learning, prediction, and replay in networks of spiking neurons.

Younes Bouhadjar, Dirk J. Wouters, Markus Diesmann, Tom Tetzlaff

PLoS Comput. Biol., 2022

Prediction: An Algorithmic Principle Meeting Neuroscience and Machine Learning Halfway.

Younes Bouhadjar, Caterina Moruzzi, Melika Payvand

Proceedings of the 3rd Human-Like Computing Workshop (HLC 2022) co-located with the 2nd International Joint Conference on Learning and Reasoning (IJCLR 2022), 2022

2021

NESTML 4.0.

Pooja N. Babu, Charl A. P. Linssen, Jochen Martin Eppler, Tobias Schulte to Brinke, Abolfazl Ziaeemehr, Tanguy Fardet, Younes Bouhadjar, Renato C. Duarte, Bernhard Rumpe, Abigail Morrison

Dataset, June, 2021

2020

The speed of sequence processing in biological neuronal networks.

Younes Bouhadjar, Markus Diesmann, Dirk J. Wouters, Tom Tetzlaff

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

2019

Constraints on sequence processing speed in biological neuronal networks.

Younes Bouhadjar, Markus Diesmann, Rainer Waser, Dirk J. Wouters, Tom Tetzlaff

Proceedings of the International Conference on Neuromorphic Systems, 2019

Controlling Attention in a Memory-Augmented Neural Network To Solve Working Memory Tasks.

T. S. Jayram, Younes Bouhadjar, Tomasz Kornuta, Ryan L. McAvoy, Alexis Asseman, Ahmet S. Ozcan

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

On transfer learning using a MAC model variant.

Vincent Marois, T. S. Jayram, Vincent Albouy, Tomasz Kornuta, Younes Bouhadjar, Ahmet S. Ozcan

CoRR, 2018

Learning to Remember, Forget and Ignore using Attention Control in Memory.

T. S. Jayram, Younes Bouhadjar, Ryan L. McAvoy, Tomasz Kornuta, Alexis Asseman, Kamil Rocki, Ahmet S. Ozcan

CoRR, 2018