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  • torch_brain.dataset
    • Dataset
    • DatasetIndex
    • NestedDataset
    • SpikingDatasetMixin
    • CalciumImagingDatasetMixin
    • MultiChannelDatasetMixin
  • torch_brain.samplers
    • RandomFixedWindowSampler
    • SequentialFixedWindowSampler
    • TrialSampler
    • DistributedEvaluationSamplerWrapper
    • DistributedStitchingFixedWindowSampler
  • torch_brain.transforms
    • Compose
    • RandomChoice
    • ConditionalChoice
    • UnitDropout
    • TriangleDistribution
    • RandomTimeScaling
    • RandomOutputSampler
    • RandomCrop
    • BinSpikes
    • UnitFilter
    • UnitFilterById
  • torch_brain.batching
    • chain
    • collate
    • pad
    • pad8
    • pad2d
    • pad2d8
    • track_batch
    • track_mask
    • track_mask8
    • track_mask2d
    • track_mask2d8
  • torch_brain.nn
    • Embedding
    • InfiniteVocabEmbedding
    • RotaryTimeEmbedding
    • SinusoidalTimeEmbedding
    • RotaryCrossAttention
    • RotarySelfAttention
  • torch_brain.models
    • POYO
  • torch_brain.utils
    • stitch
    • create_linspace_latent_tokens
    • create_start_end_unit_tokens
    • resolve_weights_based_on_interval_membership
    • isin_interval
    • np_string_prefix
    • bin_spikes
  • torch_brain.data
    • Dataset
  • API Reference
  • torch_brain.models

torch_brain.models#

POYO

POYO model from Azabou et al. 2023, A Unified, Scalable Framework for Neural Population Decoding.

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RotarySelfAttention

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POYO

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