Upload README_SynCo_fixed.md

README_SynCo_fixed.md

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+---
+tags:
+  - synthetic-cortex
+  - spiking-neural-network
+  - biologically-plausible
+  - plasticity
+  - modular-architecture
+  - lifelong-learning
+  - reinforcement-learning
+  - pytorch
+  - neuroscience
+  - cognitive-architecture
+license: mit
+datasets:
+  - mnist
+  - imdb
+  - synthetic-environment
+language:
+  - en
+widget:
+  - text: "The first blueprint and the bridge to Neuroscience and Artificial Intelligence."
+  - text: "SynCo: A spiking brain agent that learns with STDP, Hebbian plasticity, and emotion modules."
+model-index:
+- name: SynCo: Modular Spiking Synthetic Cortex
+  results:
+    - task:
+        type: image-classification
+        name: Vision-based Classification
+      dataset:
+        type: mnist
+        name: MNIST
+      metrics:
+        - type: accuracy
+          value: 0.91
+    - task:
+        type: text-classification
+        name: Language Sentiment Analysis
+      dataset:
+        type: imdb
+        name: IMDb
+      metrics:
+        - type: accuracy
+          value: 0.87
+    - task:
+        type: reinforcement-learning
+        name: Curiosity-driven Exploration
+      dataset:
+        type: synthetic-environment
+        name: GridWorld-style Environment
+      metrics:
+        - type: cumulative_reward
+          value: 112.5
+---
+
+# 🧠 SynCo: A Modular Spiking Synthetic Cortex
+
+**Created by Aliyu Lawan Halliru (2025)**  
+**License: MIT**
+
+SynCo is a biologically inspired, spiking neural network that mimics real brain dynamics using:
+
+- ⚡ Spiking neurons (LIF, Adaptive LIF)
+- 🧬 Local synaptic learning (STDP, Hebbian)
+- 🧠 Modular cognitive architecture (Relay, Memory, Comparator, Feedback)
+- 🧪 Reinforcement-ready outputs with multi-task switching
+- 🔁 Lifelong learning via task replay and local plasticity
+
+This model bridges neuroscience and artificial general intelligence, enabling realistic, interpretable, and continual learning from sparse feedback and spiking dynamics.
+
+## 📦 Files Included
+
+- `SynCo_Synthetic_Cortex_Demo.ipynb`: Notebook with full training demo
+- `final_modular_brain_agent_with_spikes_and_plasticity.py`: Full model code
+- `README.md`: This file
+
+## 🧪 Example Output
+
+```
+Step 04 | Task: binary         | Loss: 0.0123 | acc: 1.00
+Step 12 | Task: classification | Loss: 1.2391 | acc: 0.88
+Step 19 | Task: regression     | Loss: 0.5214
+```
+
+SynCo adapts its weights in real time using only local neuron activity — no backpropagation required.
+
+## 🧠 Use Cases
+
+- Neuroscience-inspired AI modeling
+- Continual learning agents
+- Synthetic cortex simulation
+- Educational use in bio-AI and neural computation
+
+## ✨ Credits
+
+Created by **Aliyu Lawan Halliru**, Nigerian independent AI researcher.  
+Project aims to make synthetic neuroscience accessible to the world.
+
+## 📜 License
+
+MIT License — free to use and adapt.