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Dear Colleagues!</div>
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We are very much looking forward to the NEST Conference 2026 which will take place in two weeks time on</div>
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Tuesday / Wednesday 16/17 June 2026. </div>
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We are excited to share with you an overview over the program we have assembled with three keynotes, three tutorials, one dozen talks and eleven posters. You will find presenters and contributions below.</div>
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Please register at <a href="https://nest-simulator.org/conference" data-outlook-id="6b064fe1-2c2b-4092-89ca-85836dbcbb66">
https://nest-simulator.org/conference</a> at your earliest convenience!</div>
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If you want to use the member rate (20€; normal rate 50€), you must apply for NEST Initiative e.V. membership and pay your dues by Sunday 7 June. Students, including PhD students, do not need to pay membership dues, for all others it is 25€ for 2026. Please
go to <a href="https://www.easyverein.com/public/NESTINI/applicationform/13809" data-outlook-id="8150f5ca-5d37-41f3-956a-be2f738addd2">
https://www.easyverein.com/public/NESTINI/applicationform/13809</a> to apply.</div>
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Absolutely last deadline for registration is Sunday 14 June at 23.59 CEST (UTC+2).</div>
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See you at the NEST Conference 2026!</div>
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Hans Ekkehard Plesser on behalf of the organizing committee</div>
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Keynote</div>
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Agnes Korcsak-Gorzo</div>
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Biologically plausible supervised learning in large-scale networks</div>
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Fynn Dobler, Maxime Carrire</div>
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Lost in translation: How porting a brain-constrained model of word semantics to NEST revealed undocumented model assumptions</div>
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Pablo Martinez-Canada</div>
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From Circuits to Signals and Back: Integrating Biophysical Forward Modelling and Simulation-Based Inference to Decode Brain Dynamics</div>
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Tutorial</div>
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Agnes Korcsak-Gorzo</div>
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Biologically plausible supervised learning with event-driven eligibility propagation</div>
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Charl Linssen, Pooja Babu</div>
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Modeling and simulating neuron models from NESTML on neuromorphic hardware</div>
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Willem Wybo</div>
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Creating, analyzing, simplifying, and simulating biophysical neurons with NEAT</div>
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Talks</div>
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Carlos Enrique Gutierrez</div>
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Neuro-Workflow: Agent-Assisted Brain Modeling</div>
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Catherine Schofmann</div>
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Scaling Neural Networks On Accelerators With Procedural Connectivity Generation</div>
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Gianmarco Tiddia</div>
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Scalable network construction method for NEST GPU enables efficient multi-GPU simulations</div>
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Jan Eirik Skaar, Hans Ekkehard Plesser</div>
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Practice report: Porting a complex network model from BRIAN2 to NEST</div>
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Jan Vogelsang, Susanne Kunkel</div>
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Rethinking Synapse Placement in NEST for Cache-Efficiency on Many-Core Exascale Architectures</div>
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Mahesh Madhav, Hans Ekkehard Plesser</div>
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Issue #3217: Making NEST a part of the SPEC CPU 2026 benchmark suite</div>
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Melissa Lober</div>
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NUMA balancing hampering performance of spiking network simulations</div>
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Pedro Ribeiro Pinheiro</div>
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Simulating prefrontal cortex dynamics in a data-driven spiking neural network</div>
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Rafael Fernando Gigante</div>
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A Large-Scale Spiking Network Model of the Primary Motor Cortex</div>
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Razvan Gamanut</div>
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Subthreshold Dynamics in a Gap-Junction-Coupled PV Network Model of the Claustrum</div>
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Sinovia Fotiadou</div>
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Bridging NEST Microcircuits to Zerlaut Mean-Field Models: A Reproducible Single-Region Workflow for the Virtual Brain Twin</div>
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Tibor Rozsa</div>
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Toward reliable visual prosthetic stimulation under highly variable spontaneous activity</div>
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Poster</div>
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Alex Dimitrov et al</div>
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Statistics of spiking neural networks based on counting processes</div>
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Ariel Shmilli et al</div>
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Long-term memory consolidation in spiking neural networks</div>
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Camilo Jara Do Nascimento et al</div>
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Dendritic plateau potentials enable learning over long timescales</div>
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Charl Linssen et al</div>
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Automated code generation of advanced plasticity rules for the SpiNNaker neuromorphic platform using NESTML</div>
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Daniel Todt</div>
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Parameter specification in spiking neural networks using NEST and simulation-based inference</div>
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José Villamar et al</div>
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Scaling up to billions of spiking neurons and trillions of synapses with NEST GPU</div>
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Krishna Kant Singh</div>
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Empowering Neuroscience Research with Portable HPC Containers</div>
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Marie Olli</div>
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Structural plasticity in large-scale spiking neural networks</div>
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Markus Diesmann</div>
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On polynomials in spiking neuronal network simulations</div>
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Noah Ostendorf</div>
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Motiforge: Flexible Motif-Constrained Network Generation for Structured Neural Architectures</div>
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Pooja Babu</div>
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Prof. Dr. Hans Ekkehard Plesser</div>
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Research Committee Chair, Faculty of Science and Technology</div>
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Department of Data Science</div>
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Faculty of Science and Technology</div>
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Norwegian University of Life Sciences</div>
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