8 papers
Cross-Subject Modeling for Widefield Calcium Imaging via Atlas-Aligned Spatiotemporal Tokenization
Mohammad Hosseini, Eray Erturk, Saba Hashemi +1
Large-scale, multi-subject widefield calcium imaging provides unprecedented access to brain-wide cortical dynamics. However, the high dimensionality, complex spatiotemporal structu…
Nonlinear Dynamical Modeling of Human Intracranial Brain Activity with Flexible Inference
Kiarash Vaziri, Lucine L. Oganesian, HyeongChan Jo +4
Dynamical modeling of multisite human intracranial neural recordings is essential for developing neurotechnologies such as brain-computer interfaces (BCIs). Linear dynamical models…
Unsupervised learning of multiscale switching dynamical system models from multimodal neural data
DongKyu Kim, Han-Lin Hsieh, Maryam M. Shanechi
Neural population activity often exhibits regime-dependent non-stationarity in the form of switching dynamics. Learning accurate switching dynamical system models can reveal how be…
Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference
Eray Erturk, Maryam M. Shanechi
Real-time decoding of target variables from multiple simultaneously recorded neural time-series modalities, such as discrete spiking activity and continuous field potentials, is im…
Cross-Modal Representational Knowledge Distillation for Enhanced Spike-Informed LFP Modeling
Eray Erturk, Saba Hashemi, Maryam M. Shanechi
Local field potentials (LFPs) can be routinely recorded alongside spiking activity in intracortical neural experiments, measure a larger complementary spatiotemporal scale of brain…
BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity
Lucine L. Oganesian, Saba Hashemi, Maryam M. Shanechi
Intracranial recordings have opened a unique opportunity to simultaneously measure activity across multiregional networks in the human brain. Recent works have focused on developin…