Reinforcement Learning
Transformers
PyTorch
English
brain-inspired
spiking-neural-network
biologically-plausible
modular-architecture
vision-language
curriculum-learning
cognitive-architecture
artificial-general-intelligence
Eval Results (legacy)
Instructions to use Almusawee/ModularBrainAgent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Almusawee/ModularBrainAgent with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Almusawee/ModularBrainAgent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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## 🧩 Model Architecture
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- **Total Neurons**:
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- **Neuron Types**: Interneurons, Excitatory, Inhibitory, Cholinergic, Dopaminergic, Serotonergic, Feedback, Plastic
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- **Core Modules**:
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- `SharedEncoder`: Multidimensional feature compressor
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## 🧩 Model Architecture
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- **Total Neurons**: 66
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- **Neuron Types**: Interneurons, Excitatory, Inhibitory, Cholinergic, Dopaminergic, Serotonergic, Feedback, Plastic
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- **Core Modules**:
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- `SharedEncoder`: Multidimensional feature compressor
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