Published June 15, 2025 | Version 2
Preprint Open

Biological Brain Simulator Type 1

Description

# Biological Brain Simulator

A Python OOP implementation of the biological brain, aiming to create a digital copy of known brain structures and their neural subnetworks based on current scientific knowledge.

## Project Description

This project aims to create a comprehensive digital model of the human brain by:

1. **Structural Modeling**: Implement known brain structures and their anatomical relationships using object-oriented programming.
2. **Neural Network Implementation**: Program specific neural groups within each brain structure according to current scientific understanding.
3. **Functional Integration**: Create communication pathways between different brain regions, simulating both local and long-range neural connections.

The ultimate goal is to create a modular, extensible system that can:
- Accurately represent known brain structures and their interconnections.
- Implement neural networks that mimic real brain functionality.
- Serve as a foundation for adding more complex neural computations and learning capabilities.

## Project Structure

```
Cervello fisico in python/
├── main.py                   # Punto di ingresso principale della simulazione
├── cervello.py               # Classe principale per l'orchestrazione del cervello
├── componenti_base/
│   ├── __init__.py
│   ├── cellula.py           # Classe base per le cellule biologiche
│   ├── neurone.py          # Definizione dell'unità computazionale base
│   ├── microglia.py        # Cellule immunitarie del SNC
│   ├── mielina.py          # Struttura e funzioni della mielina
│   └── vascolarizzazione.py # Sistema vascolare e angiogenesi
├── strutture_proencefalo/
│   ├── __init__.py
│   ├── emisfero.py          # Classe base astratta per gli emisferi
│   ├── emisfero_concreto.py # Implementazione concreta degli emisferi
│   ├── emisfero_sinistro.py # Specializzazione per l'emisfero sinistro
│   └── emisfero_destro.py   # Specializzazione per l'emisfero destro
├── strutture_diencefalo/
│   ├── __init__.py
│   └── talamo.py            # Implementazione del talamo
├── strutture_sottocorticale/
│   ├── __init__.py
│   ├── cerebello.py         # Implementazione del cerebello
│   ├── substantia_nigra.py  # Implementazione della sostanza nera
│   └── globus_pallidus.py   # Implementazione del globo pallido
├── connessioni/
│   ├── __init__.py
│   ├── connessione.py       # Classe base per le connessioni neurali
│   └── cortico_ippocampale.py # Connessioni cortico-ippocampali
└── periferiche_sensory/
    ├── __init__.py
    ├── periferica_visiva.py  # Sistema visivo
    ├── periferica_auditiva.py # Sistema auditivo
    ├── periferica_tattile.py  # Sistema tattile
    ├── periferica_olfattiva.py # Sistema olfattivo
    └── periferica_gustativa.py # Sistema gustativo
```

## Implementation Phases

## Features

1. **Sensory Periphery**
   - Realistic implementation of visual system with automatic camera detection
   - YOLOv5-based object recognition
   - Persistent visual memory system
   - Auditory system (inner ear hair cells, auditory neurons)
   - Tactile system (pressure, temperature, pain receptors)
   - Olfactory system (olfactory epithelia)
   - Gustatory system (taste buds)

2. **Cerebral Structure**
   - Left and right hemispheres with specialized lobes
   - Corpus callosum for inter-hemispheric communication
   - Thalamus as sensory relay hub
   - Prefrontal cortex for executive functions
   - Visual cortex with unsupervised learning capabilities

3. **Subcortical Structures**
   - Cerebellum for motor coordination
   - Substantia nigra for dopaminergic modulation
   - Globus pallidus for motor control
   - Hippocampus for memory formation

4. **Neural Networks**
   - Modular implementation of neural groups
   - Communication pathways between structures
   - Basic neural computations and processing
   - Real-time visual processing with YOLOv5
   - Persistent memory system for visual learning

## Future Development

1. **Enhanced Neural Processing**
   - Advanced learning algorithms
   - More complex neural computations
   - Neural plasticity implementation

2. **Additional Sensory Systems**
   - Vestibular system
   - Proprioception
   - Interoception

3. **Motor Systems**
   - Motor cortex implementation
   - Basal ganglia integration
   - Motor execution pathways

4. **Cognitive Functions**
   - Memory systems
   - Attention mechanisms
   - Decision-making processes

## Requirements

- Python 3.8+
- OpenCV for video processing
- PyTorch for YOLOv5
- YOLOv5 for object recognition
- JSON for persistent memory
- Basic Python standard library components
- Future phases may require additional scientific computing libraries

## How to Run

```bash
python main.py
```

Files

Files (13.4 MB)

Name Size Download all
md5:3736c4a3aa16bd587168755a0872f8cc
13.4 MB Download

Additional details

Software

Repository URL
https://zenodo.org/uploads/15670141
Programming language
Python
Development Status
Active