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Nucleo

Biological AI Research Center

Pioneering Biological Intelligence through Neural Networks, DNA Computing, and Synaptic Processing

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01

Neural-Silicon Hybrid Interfaces

Revolutionary brain-computer interfaces that integrate living neurons with silicon chips, enabling direct synaptic communication between biological neural networks and artificial neural processing units through optogenetic stimulation and electrophysiological recording.

Neural Processing 10kHz Real-time
Channels 256+ Microelectrodes
Precision <1ms Temporal
Neurons Synapses Action Potentials Neural Plasticity
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Neural-Silicon Hybrid Interface
02

DNA-Based Neural Processors

Cutting-edge biocomputing systems that utilize DNA, RNA, and protein molecules as computational units, creating living neural processors that can perform complex pattern recognition and learning tasks through molecular interactions and enzymatic reactions.

Processing Power 1000x Biological
Biocompatibility 99.9%
Integration Neural Tissue
DNA Computing RNA Processing Protein Synthesis Molecular AI
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DNA-Based Neural Processors
03

Biological Neural Networks

Living neural networks grown in vitro that can be trained and controlled through optogenetics, chemogenetics, and electrical stimulation, demonstrating learning capabilities and pattern recognition through synaptic plasticity and neural circuit formation.

Precision <1ms Control
Resolution Single Neuron
Techniques ChR2, DREADDs
Living Neurons Neural Circuits Synaptic Learning Biological AI
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Biological Neural Networks
04

Neural Memory Engineering

Advanced systems that decode and manipulate neural memory formation through hippocampal neural networks, utilizing optogenetics to enhance, erase, or implant memories by controlling synaptic plasticity and neural circuit dynamics.

Sleep Analysis Real-time REM
AI Generation GAN Networks
Stimulation TMS Precision
Hippocampus Memory Formation Neural Encoding Synaptic Memory
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Neural Memory Engineering
05

Synthetic Neural Ecosystems

Creating artificial neural ecosystems where biological neurons, DNA computing systems, and protein-based processors interact in virtual environments, simulating complex biological intelligence and consciousness through multi-scale neural modeling.

Consciousness Transfer Neural Mapping
Sensory Simulation Multisensory
Haptic Feedback Neural Pathways
Neural Ecosystems Biological Intelligence Multi-scale Modeling Consciousness AI
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Synthetic Neural Ecosystems