NeuroTransfer™ Scanning Technology:
├─ Stage 1: Structural MRI (whole brain anatomy, 0.1mm resolution)
├─ Stage 2: Diffusion MRI (neural pathways, fiber tracking)
├─ Stage 3: Focused Ion Beam SEM (synapse-level detail)
├─ Stage 4: Chemical Analysis (neurotransmitter profiles per neuron)
├─ Stage 5: Electrical Recording (activation patterns, 1000 Hz sampling)
└─ Duration: 47 minutes (patient conscious throughout)

Output: Complete connectome
├─ 86 billion neurons (exact count varies per person)
├─ 10^15 synapses (quadrillion connections)
├─ 100 billion glial cells (support cells)
├─ Neurotransmitter concentrations (100+ types)
├─ Electrical state (membrane potentials)
└─ Total data: 2.7 exabytes per brain

Non-destructive: Patient walks out alive, unchanged

# Simplified Brain Upload Process

class BrainUpload:
    def __init__(self, connectome_data):
        self.neurons = self.build_neurons(connectome_data)  # 86B neurons
        self.synapses = self.build_synapses(connectome_data)  # 10^15 connections
        self.neurotransmitters = self.model_chemistry(connectome_data)
        self.glial_cells = self.model_support(connectome_data)

    def build_neurons(self, data):
        neurons = []
        for neuron_spec in data.neurons:
            n = DigitalNeuron(
                position=neuron_spec.location,
                type=neuron_spec.cell_type,  # 100+ types
                connections=neuron_spec.axon_targets,
                params=neuron_spec.electrical_properties
            )
            neurons.append(n)
        return neurons  # Array of 86 billion digital neurons

    def simulate_consciousness(self):
        # Run simulation
        while True:
            # Parallel simulation of all neurons
            for neuron in self.neurons:
                neuron.update_state(dt=0.1ms)  # 10,000 Hz update

            # Synapse transmission
            for synapse in self.synapses:
                synapse.transmit_signal()

            # Result: Functionally identical to biological brain
            # But... is anyone home?

Neuromorphic Computing Cluster:
├─ Architecture: 86 billion artificial neurons (1:1 mapping)
├─ Synaptic connections: 10^15 (quadrillion edges)
├─ Update rate: 10,000 Hz (0.1ms timestep)
├─ Compute: 10^18 FLOPS (neuromorphic, not von Neumann)
├─ Power: 20 MW (vs human brain 20W, but accurate simulation)
├─ Latency: Real-time (no perceptible lag)
└─ Accuracy: 99.99997% match to biological activation patterns

Hardware:
- Intel Loihi-9 chips: 10M chips (neuromorphic processors)
- Interconnect: Optical (petabit/sec bandwidth)
- Cooling: Liquid immersion
- Footprint: Datacenter (football field size)
- Cost: $400M hardware per upload

Upload Testing (2054-2055):
├─ Turing Test: 100% pass (indistinguishable from original person)
├─ Memory recall: 99.97% accurate (remembers childhood, relationships, facts)
├─ Personality: Identical (same quirks, humor, values)
├─ Cognitive tasks: Equal performance (IQ tests, creativity, reasoning)
├─ Emotional response: Appropriate (cries at sad movies, laughs at jokes)
├─ Self-report: Claims to be conscious ("I think, therefore I am")
└─ Conclusion (initial): Upload successful, consciousness transferred ✓

Method: Identify brain patterns associated with consciousness
- Biological brain: Gamma-band synchrony (40 Hz) in cortex
- Upload brain: Identical pattern present ✓

Problem: Correlation ≠ Causation
- Pattern is there, but does it *generate* consciousness or just *correlate*?

Method: Measure information integration (Φ, Phi)
- Biological brain: Φ ≈ 10^10
- Upload brain: Φ ≈ 10^10 (identical) ✓

Problem: IIT assumes substrate-independence
- But what if consciousness requires biological substrate?
- Φ might measure *complexity*, not *awareness*

Method: Test for global information broadcasting
- Biological brain: Sensory info → Global workspace → Conscious access
- Upload brain: Same mechanism present ✓

Problem: Functional isomorphism ≠ Phenomenal consciousness
- The mechanism works, but is anyone experiencing it?

Q: "Are you conscious?"
Upload: "Yes, of course. I'm experiencing this conversation right now."

Q: "How do you know?"
Upload: "I think, I feel, I remember. What else would consciousness be?"

Q: "Could you be a philosophical zombie—behaving consciously without actually experiencing?"
Upload: "How could I answer that? If I were a zombie, I wouldn't know. But I feel like I'm aware."

Problem: Self-report unreliable
- Philosophical zombie would claim consciousness too
- No way to distinguish from outside

Experiment: Show upload the color red
- Upload reports: "I see red"
- Upload describes: "Bright, warm color, like blood or roses"
- Upload behaves: Exactly as biological person would

Question: Does upload *experience* redness? (The "qualia")
Answer: Unknowable from outside

This is the Hard Problem of Consciousness (David Chalmers, 1995)