#neurotech Created at 190723 # [Anonymous feedback](https://www.admonymous.co/louis030195) # [[Epistemic status]] #shower-thought Last modified date: 190723 Commit: 0 # Related # 190723 12347 brainclip ```py # Pseudo code for BrainCLIP model # Initialize the BrainCLIP model brainclip = BrainCLIP() # Training phase for epoch in range(num_epochs): for fMRI_data, image_data, text_data in training_data: # Transform fMRI patterns into a well-aligned CLIP embedding space fMRI_embeddings = brainclip.transform(fMRI_data) # Combine visual and textual supervision image_embeddings = CLIP.transform(image_data) text_embeddings = CLIP.transform(text_data) # Align fMRI data with visual and textual data via contrastive learning loss = contrastive_loss(fMRI_embeddings, image_embeddings, text_embeddings) # Backpropagate the loss and update the model parameters loss.backward() optimizer.step() # Inference phase for fMRI_data in test_data: # Apply BrainCLIP to the fMRI-Image/Text-matching task or fMRI-to-image generation task fMRI_embeddings = brainclip.transform(fMRI_data) # Perform the desired task if task == 'matching': match_score = match(fMRI_embeddings, image_embeddings, text_embeddings) elif task == 'generation': generated_image = generate_image(fMRI_embeddings) ```