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ORCIDNICE 2025: Heidelberg, Germany
- Neuro Inspired Computational Elements, NICE 2025, Heidelberg, Germany, March 25-28, 2025. IEEE 2025, ISBN 979-8-3315-0302-4
- Katy Warr, Jonathon Hare, David Thomas
:
Dedicated Class Subnetworks for SNN Class Incremental Learning. 1-10 - Farah Baracat, Luca Manneschi, Elisa Donati:
Heterogeneous Population Encoding for Multi-joint Regression using sEMG Signals. 1-6 - Jingang Jin, Zhenhang Zhang, Qinru Qiu:
Exploring Spike Encoder Designs for Near-Sensor Edge Computing. 1-9 - Sven Krausse, Emre Neftci, Friedrich T. Sommer, Alpha Renner:
A Grid Cell-Inspired Structured Vector Algebra for Cognitive Maps. 1-10 - Victoria Clerico, Shay Snyder, Arya Lohia, Md. Abdullah-Al Kaiser, Gregory Schwartz, Akhilesh Jaiswal, Maryam Parsa:
Retina-inspired Object Motion Segmentation for Event-Cameras. 1-6 - Tim Langer, Matthias Jobst, Chen Liu, Florian Kelber, Bernhard Vogginger, Christian Mayr:
OctopuScheduler: On-Chip DNN Scheduling on the SpiNNaker2 Neuromorphic MPSoC. 1-10 - Hartmut Schmidt, Andreas Grübl, José Montes, Eric Müller, Sebastian Schmitt, Johannes Schemmel:
Demonstrating the Advantages of Analog Wafer-Scale Neuromorphic Hardware. 1-5 - Jimmy Weber, Théo Ballet, Melika Payvand:
Hardware architecture and routing-aware training for optimal memory usage: a case study. 1-5 - Zainab Aizaz, James C. Knight, Thomas Nowotny:
FeNN: A RISC-V vector processor for Spiking Neural Network acceleration. 1-7 - Thomas Shoesmith, James C. Knight, Balazs Meszaros, Jonathan Timcheck, Thomas Nowotny:
Eventprop training for efficient neuromorphic applications. 1-7 - Amani Atoui, Jakob Kaiser, Sebastian Billaudelle, Philipp Spilger, Eric Müller, Jannik Luboeinski, Christian Tetzlaff, Johannes Schemmel:
Multi-timescale synaptic plasticity on analog neuromorphic hardware. 1-9 - Alexei Figueroa, Justus Westerhoff, Golzar Atefi, Dennis Fast, Benjamin Winter, Felix Alexander Gers, Alexander Löser, Wolfgang Nejdl:
Comply: Learning Sentences with Complex Weights inspired by Fruit Fly Olfaction. 1-10 - Karan Patel, Ethan Maness, Tyler Nitzsche, Emma G. Brown, Brett Witherspoon, Aaron R. Young, Bryan P. Maldonado, Brian C. Kaul, James S. Plank, Catherine D. Schuman:
Evolution at the Edge: Real-Time Evolution for Neuromorphic Engine Control. 1-8 - Kevin Zhu, Shay Snyder, Ricardo Vega, Maryam Parsa, Cameron Nowzari:
A Milling Swarm of Ground Robots using Spiking Neural Networks. 1-9 - Aurora Micheli, Olaf Booij, Jan van Gemert, Nergis Tömen:
Deep activity propagation via weight initialization in spiking neural networks. 1-9 - Bojian Yin, Federico Corradi:
Never Reset Again: A Mathematical Framework for Continual Inference in Recurrent Neural Networks. 1-9 - Elias Arnold, Eike-Manuel Edelmann, Alexander von Bank, Eric Müller, Laurent Schmalen, Johannes Schemmel:
Short-reach Optical Communications: A Real-world Task for Neuromorphic Hardware. 1-8 - Robin Dietrich, Tobias Fischer, Nicolai Waniek, Nico Reeb, Michael Milford, Alois Knoll, Adam D. Hines:
Threshold Adaptation in Spiking Networks Enables Shortest Path Finding and Place Disambiguation. 1-11 - Jann Krausse, Alexandru Vasilache, Klaus Knobloch, Jürgen Becker:
Realtime-Capable Hybrid Spiking Neural Networks for Neural Decoding of Cortical Activity. 1-7 - Alicia Bremer, Jeff Orchard:
Improved Cleanup and Decoding of Fractional Power Encodings. 1-9 - Graeme Damberger, Kathryn Simone, Chandan Datta, Ram Eshwar Kaundinya, Juan Escareño, Chris Eliasmith:
Biologically-Inspired Representations for Adaptive Control with Spatial Semantic Pointers. 1-10 - Sirine Arfa, Bernhard Vogginger, Chen Liu, Johannes Partzsch, Mark Schöne, Christian Mayr:
Efficient Deployment of Spiking Neural Networks on SpiNNaker2 for DVS Gesture Recognition Using Neuromorphic Intermediate Representation. 1-8 - Philipp Spilger, Eric Müller, Johannes Schemmel:
Integrating programmable plasticity in experiment descriptions for analog neuromorphic hardware. 1-8 - Svea Marie Meyer, Philipp Weidel, Philipp Plank, Leobardo Campos-Macias, Sumit Bam Shrestha, Philipp Stratmann, Jonathan Timcheck, Mathis Richter:
A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing. 1-9 - Matteo Saponati, Chiara De Luca, Giacomo Indiveri, Benjamin F. Grewe:
A feedback control optimizer for online and hardware-aware training of Spiking Neural Networks. 1-10 - Gabriel Béna, Timo Wunderlich, Mahmoud Akl, Bernhard Vogginger, Christian Mayr, Hector A. Gonzalez:
Event-based backpropagation on the neuromorphic platform SpiNNaker2. 1-10 - Balachandran Swaminathan, Jack Sampson:
VIBE: Enhancing Unsupervised Continual Learning with Autonomous Novelty Detection. 1-10 - Sanja Karilanova, Subhrakanti Dey, Ayça Özçelikkale:
State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons. 1-9 - Jamie Lohoff, Anil Kaya, Florian Assmuth, Emre Neftci:
A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity. 1-9 - Ranganath Selagamsetty, Joshua San Miguel, Mikko H. Lipasti:
The Spatial Effect of the Pinna for Neuromorphic Speech Denoising. 1-10 - Benedetto Leto, Gianvito Urgese, Enrico Macii, Vittorio Fra:
A LIF-based Legendre Memory Unit as neuromorphic State Space Model benchmarked on a second-long spatio-temporal task. 1-9
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