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Eray Erturk

4 accepted papers

2026

Cross-Subject Modeling for Widefield Calcium Imaging via Atlas-Aligned Spatiotemporal Tokenization

ICML 2026poster

Large-scale, multi-subject widefield calcium imaging provides unprecedented access to brain-wide cortical dynamics. However, the high dimensionality, complex spatiotemporal structure, and substantial task-irrelevant activity in widefield recordings have largely restricted modeling efforts to single-…

Cited by 0SourceScholar
2025

Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions

ICML 2025poster

Wearable devices record physiological and behavioral signals that can improve health predictions. While foundation models are increasingly used for such predictions, they have been primarily applied to low-level sensor data, despite behavioral data often being more informative due to their alignment…

Cited by 0SourcePDFScholar
2025

Cross-Modal Representational Knowledge Distillation for Enhanced Spike-informed LFP Modeling

NeurIPS 2025poster

Local field potentials (LFPs) can be routinely recorded alongside spiking activity in intracortical neural experiments, measure a larger complementary spatiotemporal scale of brain activity for scientific inquiry, and can offer practical advantages over spikes, including greater long-term stability,…

Cited by 0SourceScholar
2025

Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference

NeurIPS 2025poster

Real-time decoding of target variables from multiple simultaneously recorded neural time-series modalities, such as discrete spiking activity and continuous field potentials, is important across various neuroscience applications. However, a major challenge for doing so is that different neural modal…

Cited by 0SourceScholar