SpikeProphecy decomposes spike-count forecasting performance into temporal fidelity, spatial pattern accuracy, and magnitude-invariant alignment, revealing reproducible brain-region predictability rankings and a sub-Poisson evaluation floor across seven model families on 105 Neuropixels sessions.
11 Neuroprobe: Evaluating Intracranial Brain Responses to Naturalistic Stimuli Matthew G
4 Pith papers cite this work. Polarity classification is still indexing.
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Neuroprobe is a new suite of decoding tasks on the BrainTreebank iEEG dataset for evaluating multi-modal language processing in the brain during naturalistic movie viewing.
BEAST3D learns viewpoint-invariant 3D features from calibrated multi-view animal videos via Gaussian splatting for novel view synthesis, pose estimation, and neural encoding across four species.
Introduces CASSM, a computation-aware state-space model extending Kalman filtering with model selection for scale-imbalanced neural recordings, claiming competitive performance with deep networks and improved uncertainty calibration.
citing papers explorer
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SpikeProphecy: A Large-Scale Benchmark for Autoregressive Neural Population Forecasting
SpikeProphecy decomposes spike-count forecasting performance into temporal fidelity, spatial pattern accuracy, and magnitude-invariant alignment, revealing reproducible brain-region predictability rankings and a sub-Poisson evaluation floor across seven model families on 105 Neuropixels sessions.
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BEAST3D: Animal behavioral analysis and neural encoding from multi-view video via Gaussian splatting
BEAST3D learns viewpoint-invariant 3D features from calibrated multi-view animal videos via Gaussian splatting for novel view synthesis, pose estimation, and neural encoding across four species.
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Computation-Aware Kalman Filtering with Model Selection for Neural Dynamics
Introduces CASSM, a computation-aware state-space model extending Kalman filtering with model selection for scale-imbalanced neural recordings, claiming competitive performance with deep networks and improved uncertainty calibration.