SNUFA 2024 Abstracts

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Invited talks (TBD)

Talk

• On the role of temporal hierarchy in Spiking Neural Networks (Filippo Moro, Pau Vilimelis Aceituno, Laura Kriener, Melika Payvand)
• Adapting to time: why nature chose to evolve a diverse set of neurons (Karim G. Habashy, Benjamin D. Evans, Dan F. M. Goodman and Jeffrey S. Bowers)
• A feedback control algorithm for online learning in Spiking Neural Networks and Neuromorphic devices (Matteo Saponati, Chiara De Luca, Giacomo Indiveri, Benjamin Grewe)
• Using Dynamical Systems Theory to Improve Surrogate Gradient Learning in Spiking Neural Networks (Rainer Engelken, Larry Abbott)
• Excitatory and inhibitory neurons exhibit distinct roles for task learning, temporal scaling, and working memory in recurrent spiking neural network models of neocortex (Ulaş İbrahim Ayyılmaz, Antara Garani Krishnan, Yuqing Zhu)
• Efficient encoding, transmission and transformation of sensory features in a multilayer spiking network (Veronika Koren, Alan J Emanuel, Stefano Panzeri)
• Storing overlapping associative memories on latent manifolds in low-rank spiking networks (William Podlaski, Christian Machens)

Flash talk

• Adaptive learning with neuromodulation-aware spiking neural networks (Alejandro Rodriguez-Garcia, Srikanth Ramaswamy)
• A SNN with plastic delays could provide a mechanistic understanding of V1 responses to dynamic stimuli. (Alexandre Queant, Ulysse Rançon, Dan Goodman, Benoît Cottereau and Timothée Masquelier)
• A Causal Perspective on Surrogate Gradient Learning in Spiking Neural Networks (James Walker, Moein Khajehnejad, Adeel Razi)
• Event-Based Eligibility Propagation with Additional Biologically Inspired Features (Agnes Korcsak-Gorzo, Jonas Stapmanns, Jesús A. Espinoza Valverde, Hans Ekkehard Plesser, David Dahmen, Matthias Bolten, Sacha J. van Albada, Markus Diesmann)
• Deep inverse modeling reveals dynamic-dependent invariances in neural circuit mechanisms (Richard Gao, Michael Deistler, Auguste Schulz, Pedro J. Gonçalves, Jakob H. Macke)
• Neural Mechanisms for Strategy-dependent Decision-making in the Prefrontal Cortex (Tianshu Li, Giancarlo La Camera)
• Weight transport through spike timing for robust local gradients (Andreas Baumbach, Akos F. Kungl, Kevin Max, Mihai A. Petrovici)
• Bridging sampling methods with attractor dynamics in spiking models of head direction systems (Vojko Pjanovic, Jacob Zavatone-Veth, Ann Hermundstad, Paul Masset, Sander Keemink, Michele Nardin)
• Discovering Connectome Patterns of Brain through the Lens of Generative Models (Xingyu Liu, Guozhang Chen)
• Functions of excitatory-inhibitory assemblies in olfactory memory networks (Claire Meissner-Bernard, Bethan Jenkins, Peter Rupprecht, Friedemann Zenke, Thomas Frank, Rainer W. Friedrich)

Poster

• A new nonlinear mechanism to dynamically balance excitation and inhibition (Antonio Politi, Alessandro Torcini)
• Event-Based Learning of Synaptic Delays in Spiking Neural Networks with Exact Gradients (Balázs Mészáros, James Knight, Thomas Nowotny)
• Surrogate Surrogate Gradients (Chen LI)
• Computational Study of Dopamine Receptor and Calcium Channel Interactions in Layer II Stellate Cell Excitability (Chitaranjan Mahapatra, Andrew P. Davison)
• Adaptation of SNN for Sequence Detection in a Wake Up Receiver (Pierrick JOSEPH, Guillaume MARTHE, Claire GOURSAUD)
• Accent Classification Using Spiking Neural Networks (Cosmin Moarcas)
• Collective oscillations in balanced neural networks induced by discrete synaptic events (Denis S. Goldobin, Matteo di Volo, Alessandro Torcini)
• Structured stabilization in recurrent neural circuits through inhibitory synaptic plasticity (Dylan Festa, Claudia Cusseddu, Julijana Gjorgjieva)
• Exploring Brain Network Connectivity In Schizophrenia Groups: Influence of M1 Receptor Polymorphism (Ece Çağlayan, Yağmur Kır, Murat Perit Çakır, Bora Başkak)
• Brains, Universal Approximators? Only if Super-Turing—And They Are (Emmett Redd)
• Packet-based stimulus encoding compatible with neuromorphic processors (Filippo Costa, Chiara De Luca)
• Event-based seizure detection in iEEG using neuromorphic processing (Flavia Davidhi, Filippo Costa, Debora Ledergerber, Giacomo Indiveri, Lukas Imbach, Johannes Sarnthein)
• Dopamine Modulation in Leaky Integrate-and-Fire Pattern Generators (Gabriel Torre, Sergio Lew)
• Co-existence of synaptic plasticity and metastable dynamics in a spiking model of cortical circuits (Xiaoyu Yang, Giancarlo La Camera)
• Learning novel, sparse neural masses directly from spiking networks using universal differential equations (Anthony G. Chesebro, David Hofmann, Vaibhav Dixit, Lilianne R. Mujica-Parodi)
• Leveraging physics-informed neural networks to extend single neuron models with patch-clamp data (Anthony G. Chesebro, David Hofmann, Vaibhav Dixit, Lilianne R. Mujica-Parodi, Helmut Strey)
• Evolutionary algorithms support recurrent plasticity in spiking neural network models of neocortical task learning (Ivyer Mingwei Qu, Huaze Liu, Jiayue Dora Li, Yuqing Zhu)
• Comparison of synthetically trained non-spiking and spiking networks for event-based optical flow prediction (Jad Mansour, Hayat Rajani, Rafael Garcia, Nuno Gracias)
• Decoding the Source of Reward Positivity: Insights from Multi-Modal EEG-fMRI Analysis (Malte Rudo Güth, Yang Yang, Clay Holroyd, Travis E. Baker)
• DelGrad: Exact gradients in spiking networks for learning transmission delays and weights (Julian Göltz, Jimmy Weber, Laura Kriener, Sebastian Billaudelle, Peter Lake, Melika Payvand, Mihai A. Petrovici)
• Integrating biological activation functions into artificial neural networks (Katarina Vulić, Joël Küchler, Jona Schulz, Haotian Yao, Sean Weaver, Stephan Ihle, Jens Duru, János Vörös)
• How does heterogeneity influence RNN’s performance and criticality (Keren Gao, Guozhang Chen)
• Language Modeling on a SpiNNaker2 Neuromorphic Chip (Khaleelulla Khan Nazeer, Mark Schoene, Rishav Mukherji, Bernhard Vogginger, Christian Mayr, David Kappel, Anand Subramoney)
• Bridging model and experiment in systems neuroscience with Cleo: the Closed-Loop, Electrophysiology, and Optophysiology simulation testbed (Kyle A. Johnsen, Nathanael A. Cruzado, Zachary C. Menard, Adam A. Willats, Adam S. Charles, Jeffrey E. Markowitz, Christopher J. Rozell)
• Using SNN for the Radio Authorization Problem (Mark Henkel, Francois Laignelot, Guillaume Marthe, Leonardo S. Cardoso, Claire Goursaud)
• Inferno: An Extensible Framework for Spiking Neural Networks (Marissa Dominijanni)
• Scalable Event-by-event Processing With Deep State-Space Models (Mark Schöne, Neeraj Mohan Sushma, Jingyue Zhuge, Christian Mayr, Anand Subramoney, David Kappel)
• Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Models (Rishav Mukherji, Mark Schöne, Khaleelulla Khan Nazeer, Christian Mayr, David Kappel, Anand Subramoney)
• Evolving Interpretable Plasticity Rules on Accelerated Neuromorphic Hardware (Maryeme Ouafoudi, Philipp Spilger, Eric Müller, Mihai A. Petrovici, Jakob Jordan)
• Evolving spiking neural networks for predator avoidance (Mason McGill, Pietro Perona)
• Efficient Streaming Speech Quality Prediction with Spiking Neural Networks (Mattias Nilsson, Riccardo Miccini, Julian Rossbroich, Clément Laroche, Tobias Piechowiak, Friedemann Zenke)
• Striatal Beat Frequency RL Automata as a Model of Time Cell Attenuation (Michael Tarlton)
• Vibration Vision: Real-Time Machinery Fault Diagnosis with Event Cameras (Muhammad Aitsam)
• Inferring Physical Time from Neural Adaptation Time (Raphael Lafond-Mercier, Leonard Maler, Avner Wallach, Andre Longtin)
• Decoding Finger Velocity from Cortical Spike Trains with Recurrent Spiking Neural Networks (Tengjun Liu, Julia Gygax, Julian Rossbroich, Yansong Chua, Shaomin Zhang, Friedemann Zenke)
• Functional Composition of Spiking Neural Networks with Application to Cascade Control (Simon D. Levy)
• DPSNN: Spiking Neural Network for Low-Latency Streaming Speech Enhancement (Tao Sun, Sander Bohte)
• Credit assignment through sampling in Poisson Spiking Neural Networks (Tifenn Hirtzlin)
• Memory Retrieval Evaluation In A Microcircuit Model Of The Hippocampus (Nikolas Andreakos, Shigang Yue, Vassilis Cutsuridis)