{"total":54,"rows":[{"id":"2311.03764","title":"Neuro-GPT: Towards A Foundation Model for EEG","created":"2023-11-07","cited_by_count":74,"area":null},{"id":"2407.14668","title":"Towards a \"universal translator\" for neural dynamics at single-cell, single-spike resolution","created":"2024-07-19","cited_by_count":28,"area":null},{"id":"2406.03044","title":"Population Transformer: Learning Population-level Representations of Neural Activity","created":"2024-06-05","cited_by_count":26,"area":null},{"id":"2504.08201","title":"Neural Encoding and Decoding at Scale","created":"2025-04-11","cited_by_count":20,"area":null},{"id":"2411.10458","title":"Neural decoding from stereotactic EEG: accounting for electrode variability across subjects","created":"2024-11-01","cited_by_count":17,"area":null},{"id":"2605.08495","title":"NeuralBench: A Unifying Framework to Benchmark NeuroAI Models","created":"2026-05-08","cited_by_count":16,"area":null},{"id":"2407.11907","title":"GraphFM: A generalist graph transformer that learns transferable representations across diverse domains","created":"2024-07-16","cited_by_count":14,"area":null},{"id":"2411.05712","title":"Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream","created":"2024-11-08","cited_by_count":13,"area":null},{"id":"2605.04326","title":"A foundation model of vision, audition, and language for in-silico neuroscience","created":"2026-05-05","cited_by_count":13,"area":null},{"id":"2505.17329","title":"Transformer brain encoders explain human high-level visual responses","created":"2025-05-22","cited_by_count":10,"area":null},{"id":"2506.05320","title":"Generalizable, real-time neural decoding with hybrid state-space models","created":"2025-06-05","cited_by_count":9,"area":null},{"id":"2410.05454","title":"Meta-Dynamical State Space Models for Integrative Neural Data Analysis","created":"2024-10-07","cited_by_count":8,"area":null},{"id":"2507.08402","title":"SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding","created":"2025-07-11","cited_by_count":8,"area":null},{"id":"2506.14957","title":"POCO: Scalable Neural Forecasting through Population Conditioning","created":"2025-06-17","cited_by_count":7,"area":null},{"id":"2512.12135","title":"BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity","created":"2025-12-13","cited_by_count":7,"area":null},{"id":"2411.15234","title":"Adaptive Intelligence: leveraging insights from adaptive behavior in animals to build flexible AI systems","created":"2024-11-21","cited_by_count":5,"area":null},{"id":"2510.13768","title":"Scaling Vision Transformers for Functional MRI with Flat Maps","created":"2025-10-15","cited_by_count":5,"area":null},{"id":"2510.11924","title":"Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets","created":"2025-10-13","cited_by_count":4,"area":null},{"id":"2511.21740","title":"A cross-species neural foundation model for end-to-end speech decoding","created":"2025-11-21","cited_by_count":4,"area":null},{"id":"2509.21671","title":"Neuroprobe: Evaluating Intracranial Brain Responses to Naturalistic Stimuli","created":"2025-09-25","cited_by_count":3,"area":null},{"id":"2410.00665","title":"Graph-Based Representation Learning of Neuronal Dynamics and Behavior","created":"2024-10-01","cited_by_count":2,"area":null},{"id":"2512.01199","title":"Know Thyself by Knowing Others: Learning Neuron Identity from Population Context","created":"2025-12-01","cited_by_count":2,"area":null},{"id":"2605.12992","title":"SpikeProphecy: A Large-Scale Benchmark for Autoregressive Neural Population Forecasting","created":"2026-05-13","cited_by_count":2,"area":null},{"id":"2402.01571","title":"Spiking Music: Audio Compression with Event Based Auto-encoders","created":"2024-02-02","cited_by_count":1,"area":null},{"id":"2410.16136","title":"Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors","created":"2024-10-21","cited_by_count":1,"area":null},{"id":"2412.07264","title":"QuantFormer: Learning to Quantize for Neural Activity Forecasting in Mouse Visual Cortex","created":"2024-12-10","cited_by_count":1,"area":null},{"id":"2502.18347","title":"Modeling Neural Activity with Conditionally Linear Dynamical Systems","created":"2025-02-25","cited_by_count":1,"area":null},{"id":"2507.02771","title":"Grounding Intelligence in Movement","created":"2025-07-03","cited_by_count":1,"area":null},{"id":"2510.18037","title":"Benchmarking Probabilistic Time Series Forecasting Models on Neural Activity","created":"2025-10-20","cited_by_count":1,"area":null},{"id":"2510.18516","title":"Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware Pretraining","created":"2025-10-21","cited_by_count":1,"area":null},{"id":"2510.27090","title":"Functional embeddings enable Aggregation of multi-area SEEG recordings over subjects and sessions","created":"2025-10-31","cited_by_count":1,"area":null},{"id":"2607.09754","title":"Cross-Subject Modeling for Widefield Calcium Imaging via Atlas-Aligned Spatiotemporal Tokenization","created":"2026-07-05","cited_by_count":1,"area":null},{"id":"2607.14086","title":"Leveraging unlabelled data for generalizable neural population decoding","created":"2026-07-15","cited_by_count":1,"area":null},{"id":"2310.18377","title":"Large-scale Foundation Models and Generative AI for BigData Neuroscience","created":"2023-10-27","cited_by_count":0,"area":null},{"id":"2505.00196","title":"Mapping minds not averages: a scalable subject-specific manifold learning framework for neuroimaging data","created":"2025-04-30","cited_by_count":0,"area":null},{"id":"2506.03088","title":"Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning","created":"2025-06-03","cited_by_count":0,"area":null},{"id":"2507.11531","title":"Langevin Flows for Modeling Neural Latent Dynamics","created":"2025-07-15","cited_by_count":0,"area":null},{"id":"2508.16776","title":"Latent Graph Learning in Generative Models of Neural Signals","created":"2025-08-22","cited_by_count":0,"area":null},{"id":"2510.20683","title":"A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks","created":"2025-10-23","cited_by_count":0,"area":null},{"id":"2601.10690","title":"Data-driven stochastic reduced-order modeling of parametrized dynamical systems","created":"2026-01-15","cited_by_count":0,"area":null},{"id":"2601.17641","title":"RPNT: Robust Pre-trained Neural Transformer -- A Pathway for Generalized Motor Decoding","created":"2026-01-25","cited_by_count":0,"area":null},{"id":"2605.09243","title":"How Much is Brain Data Worth for Machine Learning?","created":"2026-05-10","cited_by_count":0,"area":null},{"id":"2605.14867","title":"REALM: Retrospective Encoder Alignment for LFP Modeling","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2606.10530","title":"Machine Learning Methods for Studying Latent Neural Activity Dynamics","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2607.00249","title":"Device Passport: Enabling Spatio-Temporal Pretrained Models to Generalize Across Input Layouts","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2607.22753","title":"Real-time Reconstruction of Human Visual Perception from fMRI","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2607.23258","title":"CAPT: A Multi-task Continuous Autoregressive Transformer enabling Cross-dataset and Cross-species Transfer for Calcium Population Dynamics","created":"2026-07-25","cited_by_count":0,"area":null},{"id":"2609.06960","title":"iBrain: A Unified Foundation Model Reading the Brain from Surface to Spikes","created":"2026-09-07","cited_by_count":0,"area":null},{"id":"2609.18104","title":"iMINDBench: iEEG Multi-Institution Neural Decoding Benchmark","created":"2026-09-16","cited_by_count":0,"area":null},{"id":"2609.23907","title":"A discrete generative model of neuronal spiking activity on microelectrode arrays","created":"2026-09-20","cited_by_count":0,"area":null},{"id":"2609.27441","title":"Stable Neural Decoding Across Sessions via Task-Conditioned Latent Alignment for Brain-Machine Interfaces","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2609.39080","title":"Association profile conditioning in a set-temporal transformer for cross-session intracortical motor decoding","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.02864","title":"NeuroLens: Learning Latent Embeddings of Neural Semantics from Chronic Recordings","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.03001","title":"Neural Data Needs Semantic Tokenization: Behavioral Events as Boundaries of Session-Transferable Tokens","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}