Discussions

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  Extremely high consistency score across datasets for discrete label

  Jinwoo-Yi asked May 24, 2024 in Q&A · Unanswered

  

  

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  How to fix a seed in training CEBRA?

  Jinwoo-Yi asked Apr 18, 2024 in Q&A · Answered

  

  

  

  

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  How to evaluate contributions of original features to latent components

  AlbertXTang asked May 23, 2024 in Q&A · Unanswered

  

  

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  Autocorrelation from neural activities

  AlbertXTang asked Apr 18, 2024 in Q&A · Unanswered

  

  

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  Hi Cebra team, does this model accept multiple discrete variables?

  XuanMabard asked Feb 12, 2024 in Q&A · Answered

  

  

  

  

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  Learning-related differences in multi-session embeddings

  cgaletzka asked May 1, 2024 in Q&A · Closed · Answered

  

  

  

  

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  multi-session, no label, input dimensions (kinda?) consistent

  asafbenj started Apr 10, 2024 in General

  

  

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  CEBRA Interpretability

  xanderladd started Apr 13, 2024 in General · Closed

  

  

  

  

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  Request for Guidance on Labeling Different Brain Regions Over Time in Neuronal Data Analysis

  qweasdf1354 asked Apr 21, 2024 in Q&A · Answered

  

  

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  How to understand time_offsets

  qweasdf1354 asked Nov 19, 2023 in Q&A · Answered

  

  

  

  

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  Separate grid search for contrastive vs decoding loss?

  asafbenj started Apr 10, 2024 in General

  

  

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  Contrastive loss converges but decoding worse than chance

  asafbenj asked Mar 26, 2024 in Q&A · Unanswered

  

  

  

  

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  train multi-animal CEBRA model, conditional='time', is sampling strategy same as that of single session training (discovery-driven)?

  chunyueli started Apr 5, 2024 in General

  

  

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  Is it possible to train a decoder with embeddings from a multi-session model?

  ELGarulli asked Mar 28, 2024 in Q&A · Unanswered

  

  

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  abnormal loss value for cebra time-only model

  XuanMabard asked Apr 1, 2024 in Q&A · Unanswered

  

  

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  Missing values imputation

  asafbenj asked Mar 29, 2024 in Q&A · Unanswered

  

  

  

  

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  ValueError: Digitalized labels does not have elements close enough to bin index 1. The bin index should be in the range of the labels values.

  FrancescaGuo asked Nov 14, 2023 in Q&A · Unanswered

  

  

  

  

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  Inference of feature importance via time-series perturbation approach?

  Jinwoo-Yi asked Mar 25, 2024 in Q&A · Answered

  

  

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  Using the PyTorch API, how to save and load models?

  zhuyuhang4 asked Feb 27, 2024 in Q&A · Answered

  

  

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  ValueError: Digitalized labels does not have elements close enough to bin index 4. The bin index should be in the range of the labels values.

  zhuyuhang4 asked Jan 25, 2024 in Q&A · Answered

  

  

  

  

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  When training a model in PyTorch using practical examples, I found that there are 9 fewer data in the train_batches. I want to know the position of the missing data in the original dataset.

  zhuyuhang4 asked Feb 24, 2024 in Q&A · Answered

  

  

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  1) Model performance, 2) Imbalanced behavior dataset

  histun asked Feb 9, 2024 in Q&A · Closed · Unanswered

  

  

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  Hi, CEBRA team! Is that make sense to use original data not fitted by cebra model to calculate the Consistency across features?

  qweasdf1354 asked Dec 20, 2023 in Q&A · Unanswered

  

  

  

  

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  Behavioural parameters: upper bound

  sofiagilardini asked Jan 21, 2024 in Q&A · Answered

  

  

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  Hi, CEBRA team! How can I compare the neural dynamic or latent/decoding differences between two group of mice?

  qweasdf1354 asked Nov 26, 2023 in Q&A · Answered

  

  

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