ArboRythm
Neuro AI ResearchBridging Humans and AI Through Neuroscience
We understand computational capabilities of cortical columns and brain regions to create the next generation of artificial intelligence
Our Research
Understanding the computational principles of the brain to advance artificial intelligence
Cortical Columns
Deep analysis of cortical column architecture and their computational capabilities in information processing
Brain Regions
Mapping functional connectivity and computational roles of different brain regions in cognitive processes
Neural Computation
Developing mathematical models that capture the essence of biological neural computation
The Arbory Framework
A revolutionary approach to artificial intelligence inspired by cortical architecture
Traditional Deep Learning
- Layer-by-layer processing
- Backpropagation learning
- Fixed architecture
- Limited biological plausibility
Arbory Framework
- Cortical column-inspired units
- Biologically plausible learning
- Dynamic architecture
- Hierarchical processing
Cortical Units
Each unit mimics the computational structure of cortical columns, processing information through multiple layers with lateral and feedback connections.
Hierarchical Learning
Information flows through hierarchical levels, with each level extracting increasingly abstract features, similar to cortical processing.
Dynamic Adaptation
The framework adapts its structure based on input patterns, creating specialized pathways for different types of information.
Publications & Research
Our latest findings and contributions to the field
Cortical Column Architecture in Artificial Neural Networks
We present a novel approach to incorporating cortical column principles into artificial neural networks, demonstrating improved learning efficiency and biological plausibility.
The Arbory Framework: Bridging Neuroscience and AI
Introducing the Arbory framework, a new paradigm for artificial intelligence that draws inspiration from cortical computation principles.
Computational Principles of Brain Regions in Information Processing
A comprehensive analysis of how different brain regions contribute to information processing and their implications for AI development.
Our Team
Leading researchers at the intersection of neuroscience and artificial intelligence
Dr. Neural Architect
Principal Researcher
Expert in cortical column architecture and computational neuroscience
Dr. AI Bridge
Lead AI Researcher
Specializes in bridging biological and artificial intelligence systems
Dr. Brain Mapper
Neuroscience Lead
Expert in brain region functionality and neural computation