Table of Contents

• The BrainScaleS-2 Multi-Chip System: Interconnecting Continuous-Time Neuromorphic Compute SubstratesJoscha Ilmberger, Johannes Schemmel. 1-6 [doi]
• Predicting Band-Gap of Inorganic Materials Using Neuromorphic Graph LearningIan Mulet, Derek Gobin, Ashish Gautam, Kevin Zhu, Prasanna Date, Shruti R. Kulkarni, Seung-Hwan Lim, Guojing Cong, Maryam Parsa, Thomas E. Potok, Catherine D. Schuman. 1-7 [doi]
• Multi-Timescale Conductance Spiking Networks: A Sparse, Gradient-Trainable Framework with Rich Firing Dynamics for Enhanced Temporal ProcessingAlex Fulleda-Garcia, Saray Soldado-Magraner, Josep Maria Margarit-Taulé. 1-9 [doi]
• InterneurOn: A Collapsing-Bound Decision Neuron for Neuromorphic Early ExitEsra Genç, Zoran Utkovski, Johannes Dommel, Slawomir Stanczak. 1-9 [doi]
• Fuzzy Encoding-Decoding to Improve Spiking Q-Learning Performance in Autonomous DrivingAref Ghoreishee, Abhishek Kumar Mishra 0002, LiFeng Zhou, John Walsh, Anup Das 0001, Nagarajan Kandasamy. 1-9 [doi]
• Real-Time Processing of Analog Signals on Accelerated Neuromorphic HardwareYannik Stradmann, Johannes Schemmel, Mihai A. Petrovici, Laura Kriener. 1-6 [doi]
• Graph Reservoir Networks for Prediction of Spatiotemporal SystemsG. William Chapman, J. Darby Smith, Corinne Teeter, Nicole D. Jackson. 1-8 [doi]
• $\vec{\delta}$ Multiplexed Gradient Descent: Perturbative Learning with AstrocytesRyan O'Loughlin, Bakhrom G. Oripov, Nick Skuda, Noah Chongsiriwatana, Ian Whitehouse, Wolfgang Losert, Bradley Hayes, Adam N. McCaughan, Sonia M. Buckley. 1-9 [doi]
• Predicting Price Movements in High-Frequency Financial Data with Spiking Neural NetworksBrian Ezinwoke, Oliver Rhodes. 1-9 [doi]
• Memory-Augmented Spiking Networks: Synergistic Integration of Complementary Mechanisms for Neuromorphic VisionBlessing Effiong, Chiung Yi Tseng, Isaac Nkrumah, Junaid Rehman. 1-9 [doi]
• Intrinsic Numerical Robustness and Fault Tolerance in a Neuromorphic Algorithm for Scientific ComputingBradley H. Theilman, James B. Aimone. 1-7 [doi]
• SimScore: A Similarity Score for Spiking NeuronsBarnali Basak, Sounak Dey, Arpan Pal 0001. 1-9 [doi]
• From Spikes to Swarms: Evolving Spiking Neural Networks to Create Emergent Swarm BehaviorsKevin Zhu, Ricardo Vega, Maryam Parsa, Cameron Nowzari. 1-10 [doi]
• VS-Graph: Scalable and Efficient Graph Classification Using Hyperdimensional ComputingHamed Poursiami, Shay Snyder, Guojing Cong, Thomas E. Potok, Maryam Parsa. 1-7 [doi]
• Memory Trade-Offs in Neuromorphic Communication Strategies of the Flywire Connectome on Loihi 2Felix Wang, Bradley H. Theilman, Fred Rothganger, Craig M. Vineyard, James B. Aimone, William Severa. 1-8 [doi]
• Fully Spiking Linear Quadratic Regulator Control via a Neuromorphic Solver for the Continuous Algebraic Riccati EquationGraeme Damberger, Omar Alejandro Garcia Alcantara, Eduardo Steed Espinoza, Luis Rodolfo García Carrillo, Terrence C. Stewart, Chris Eliasmith. 1-8 [doi]
• Amortized Inference of Neuron Parameters on Analog Neuromorphic HardwareJakob Kaiser, Eric Müller 0001, Johannes Schemmel. 1-8 [doi]
• A Compute and Communication Runtime Model for Loihi 2Jonathan Timcheck, Alessandro Pierro, Sumit Bam Shrestha. 1-9 [doi]
• NeuroCoreX: An Open-Source FPGA-Based Spiking Neural Network Emulator with On-Chip LearningAshish Gautam, Prasanna Date, Shruti R. Kulkarni, Ian Mulet, Kevin Zhu, Robert M. Patton, Thomas E. Potok. 1-9 [doi]
• Spiking Value Iteration for Solving Markov Decision Processes on Neuromorphic HardwareSarah Luca, Felix Wang. 1-9 [doi]
• Training Event-Based Neural Networks with Exact Gradients via Differentiable ODE Solving in JAXLukas König, Manuel Kuhn, David Kappel, Anand Subramoney. 1-8 [doi]
• Neuromorphic Eye Tracking for Low-Latency Pupil DetectionPaul Hueber, Luca Peres, Florian Pitters, Alejandro Hernán Gloriani, Oliver Rhodes. 1-9 [doi]
• NEUKRAG: Neuromorphic KG-RAG with Small LLMS for Hardware-Algorithm Co-DesignRamakrishnan Kannan, Ashish Gautam, Robert M. Patton, Nicholas D. Haas, Todd Thomas, James B. Aimone, Thomas E. Potok. 1-9 [doi]
• Generalized Multi-Object Classification and Tracking with Sparse Feature Resonator NetworksLazar Supic, Alec Mullen, Edward Paxon Frady. 1-6 [doi]
• Critical Spike Attribution for Feature Importance in Spiking Neural NetworksJack Klawitter, Konstantinos P. Michmizos 0001. 1-8 [doi]
• Advancing Neuromorphic Hardware Using Recent Advancements in Analog Computing & ToolsJennifer Hasler. 1-9 [doi]
• DARWIN: Hardware Efficient Analog In-Memory Computing Using Dendritic Arborized Weights in Neural NetworksMing-Jay Yang, Dimitrios Spithouris, Johannes Hellwig, Pascal Nieters, Regina Dittmann, Gordon Pipa, John Paul Strachan. 1-9 [doi]
• Dynamic Heuristic Neuromorphic Solver for the Edge User Allocation Problem with Bayesian Confidence Propagation Neural NetworkKecheng Zhang, Anders Lansner, Ahsan Javed Awan, Naresh Balaji Ravichandran, Pawel Andrzej Herman. 1-8 [doi]
• On the Status, Requirements, and Expectations of Neuro-Inspired High-Performance ComputingJohannes Gebert, Qifeng Pan, Lukas Stockmann, Hartwig Anzt, Christian Mayr. 1-9 [doi]
• Privacy-Preserving Fall Detection at the Edge Using Sony IMX636 Event-Based Vision Sensor and Intel Loihi 2 Neuromorphic ProcessorLyes Khacef, Philipp Weidel, Susumu Hogyoku, Harry Liu, Claire Alexandra Bräuer, Shunsuke Koshino, Takeshi Oyakawa, Vincent Parret, Yoshitaka Miyatani, Mike Davies 0002, Mathis Richter. 1-10 [doi]