Cover Image

Spiking Neural Models for Decision-Making Tasks with Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jaffard, Sophie, Mezzadri, Giulia, Reynaud-Bouret, Patricia, Tanré, Etienne
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Probability Neurons and Cognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Neural Coding as a Statistical Testing Problem
by: Ost, Guilherme, et al.
Published: (2022)

Applications of Random Matrix Theory in Machine Learning and Brain Mapping
by: Lawrence, Katrina
Published: (2025)

Mean-field analysis of a neural network with stochastic STDP
by: Helson, Pascal, et al.
Published: (2025)

Latent Diffusion for Neural Spiking Data
by: Kapoor, Jaivardhan, et al.
Published: (2024)

A Quasi-Stationary Approach to Metastability in a System of Spiking Neurons with Synaptic Plasticity
by: Pouzat, Christophe, et al.
Published: (2024)

SpikeProphecy: A Large-Scale Benchmark for Autoregressive Neural Population Forecasting
by: Minnick, John R., et al.
Published: (2026)

HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses
by: Deng, Zhichao, et al.
Published: (2025)

Neural Models of Task Adaptation: A Tutorial on Spiking Networks for Executive Control
by: Kannan, Ashwin Viswanathan, et al.
Published: (2025)

Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment
by: Yu, Chengting, et al.
Published: (2025)

Toward Efficient Spiking Transformers: Synapse Pruning Meets Synergistic Learning-Based Compensation
by: Sun, Hongze, et al.
Published: (2025)

Synaptic Classification via Spike-Triggered Extrapolation
by: De Santis, Emilio
Published: (2026)

Algorithm Development in Neural Networks: Insights from the Streaming Parity Task
by: van Rossem, Loek, et al.
Published: (2025)

Bridging Theory and Practice in Crafting Robust Spiking Reservoirs
by: Freddi, Ruggero, et al.
Published: (2026)

Backward Stochastic Differential Equations-guided Generative Model for Structural-to-functional Neuroimage Translator
by: Chen, Zengjing, et al.
Published: (2025)

Implicit Behavioral Decoding from Next-Step Spike Forecasts at Population Scale
by: Minnick, John R., et al.
Published: (2026)

Active inference and artificial reasoning
by: Friston, Karl, et al.
Published: (2025)

Learning Task-Agnostic Motifs to Capture the Continuous Nature of Animal Behavior
by: Wang, Jiyi, et al.
Published: (2025)

SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation
by: Zhang, Yimu, et al.
Published: (2025)

Langevin Flows for Modeling Neural Latent Dynamics
by: Song, Yue, et al.
Published: (2025)

Accuracy-Efficiency Trade-Offs in Spiking Neural Networks: A Lempel-Ziv Complexity Perspective on Learning Rules
by: Rudnicka, Zofia, et al.
Published: (2025)

An Inference-Based Architecture for Intent and Affordance Saturation in Decision-Making
by: Ilboudo, Wendyam Eric Lionel, et al.
Published: (2025)

Population Transformer: Learning Population-level Representations of Neural Activity
by: Chau, Geeling, et al.
Published: (2024)

SPD Learn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization
by: Aristimunha, Bruno, et al.
Published: (2026)

Modeling Neural Activity with Conditionally Linear Dynamical Systems
by: Geadah, Victor, et al.
Published: (2025)

Thermodynamic bounds on energy use in quasi-static Deep Neural Networks
by: Tkachenko, Alexei V.
Published: (2025)

Benchmarking Probabilistic Time Series Forecasting Models on Neural Activity
by: Lu, Ziyu, et al.
Published: (2025)

Efficient, simulation-free estimators of firing rates with Markovian surrogates
by: Wang, Zhongyi, et al.
Published: (2025)

Retrieving the structure of probabilistic sequences from EEG data during the goalkeeper game
by: Cabral-Passos, P. R., et al.
Published: (2025)

Learning Glioblastoma Tumor Heterogeneity Using Brain Inspired Topological Neural Networks
by: Paul, Ankita, et al.
Published: (2026)

Lattice-Based Pruning in Recurrent Neural Networks via Poset Modeling
by: Sengupta, Rakesh
Published: (2025)

NeuralBench: A Unifying Framework to Benchmark NeuroAI Models
by: Banville, Hubert, et al.
Published: (2026)

Meta-Dynamical State Space Models for Integrative Neural Data Analysis
by: Vermani, Ayesha, et al.
Published: (2024)

Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations
by: ElGazzar, Ahmed, et al.
Published: (2024)

Information-Seeking Decision Strategies Mitigate Risk in Dynamic, Uncertain Environments
by: Barendregt, Nicholas W., et al.
Published: (2025)

Hybrid Spiking Neural Networks for Low-Power Intra-Cortical Brain-Machine Interfaces
by: Vasilache, Alexandru, et al.
Published: (2024)

Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
by: Hu, Amber, et al.
Published: (2024)

Latent Variable Double Gaussian Process Model for Decoding Complex Neural Data
by: Ziaei, Navid, et al.
Published: (2024)

NECOMIMI: Neural-Cognitive Multimodal EEG-informed Image Generation with Diffusion Models
by: Chen, Chi-Sheng
Published: (2024)

REVE: A Foundation Model for EEG -- Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects
by: Ouahidi, Yassine El, et al.
Published: (2025)

Predicting Cognition from fMRI:A Comparative Study of Graph, Transformer, and Kernel Models Across Task and Rest Conditions
by: Patel, Jagruti, et al.
Published: (2025)