pub struct QuantumEnhancedNeuralUnit {
    // Unique identifier for the neural unit
    pub id: NeuronID,
    
    // Quantum membrane computer (Bene Gesserit integration)
    pub quantum_membrane: QuantumMembraneComputer,
    
    // Biological circuit processor (Nebuchadnezzar integration)
    pub biological_processor: BiologicalCircuitProcessor,
    
    // Specialized processing capabilities
    pub specialized_processors: SpecializedProcessingArray,
    
    // Synaptic connections
    pub input_synapses: Vec<QuantumSynapse>,
    pub output_synapses: Vec<QuantumSynapse>,
    
    // Metabolic state
    pub metabolic_state: MetabolicState,
    
    // Learning and plasticity engine
    pub plasticity_engine: NeuralPlasticityEngine,
    
    // Consciousness emergence metrics
    pub consciousness_metrics: ConsciousnessMetrics,
}

pub struct QuantumMembraneComputer {
    // Collective ion field dynamics
    pub collective_ion_field: CollectiveIonField,
    
    // Hardware oscillation harvester
    pub oscillation_harvester: HardwareOscillationHarvester,
    
    // Entropy control system
    pub entropy_controller: OscillatoryEntropyController,
    
    // ATP-constrained quantum dynamics
    pub atp_quantum_dynamics: ATPConstrainedQuantumDynamics,
    
    // Fire-wavelength optimization (600-700nm)
    pub fire_wavelength_optimizer: FireWavelengthOptimizer,
    
    // Environment-assisted quantum transport
    pub enaqt_processor: ENAQTProcessor,
}

impl QuantumMembraneComputer {
    pub fn new(membrane_parameters: MembraneParameters) -> Self {
        Self {
            collective_ion_field: CollectiveIonField::new(membrane_parameters.ion_concentrations),
            oscillation_harvester: HardwareOscillationHarvester::new(),
            entropy_controller: OscillatoryEntropyController::new(),
            atp_quantum_dynamics: ATPConstrainedQuantumDynamics::new(membrane_parameters.atp_pool),
            fire_wavelength_optimizer: FireWavelengthOptimizer::new(600.0, 700.0),
            enaqt_processor: ENAQTProcessor::new(),
        }
    }
    
    pub fn process_quantum_computation(&mut self, input: QuantumInput) -> QuantumOutput {
        // Harvest current hardware oscillations
        let hardware_oscillations = self.oscillation_harvester.harvest_current_state();
        
        // Map input to collective ion field
        let ion_field_state = self.collective_ion_field.encode_input(input, hardware_oscillations);
        
        // Process through environment-assisted quantum transport
        let enaqt_processed = self.enaqt_processor.process_quantum_transport(ion_field_state);
        
        // Optimize for fire-wavelength coupling
        let fire_optimized = self.fire_wavelength_optimizer.optimize_coherence(enaqt_processed);
        
        // Apply entropy control
        let entropy_controlled = self.entropy_controller.control_entropy_endpoints(fire_optimized);
        
        // Check ATP constraints
        if self.atp_quantum_dynamics.check_energy_availability(entropy_controlled.energy_cost) {
            self.atp_quantum_dynamics.consume_energy(entropy_controlled.energy_cost);
            QuantumOutput::Success(entropy_controlled.result)
        } else {
            QuantumOutput::EnergyConstrained(self.atp_quantum_dynamics.available_energy())
        }
    }
}

pub struct CollectiveIonField {
    // Proton (H+) quantum states for consciousness substrate
    pub proton_states: Vec<ProtonQuantumState>,
    
    // Metal ion coordination (Na+, K+, Ca2+, Mg2+)
    pub sodium_states: Vec<SodiumQuantumState>,
    pub potassium_states: Vec<PotassiumQuantumState>,
    pub calcium_states: Vec<CalciumQuantumState>,
    pub magnesium_states: Vec<MagnesiumQuantumState>,
    
    // Collective quantum coherence
    pub collective_coherence: CollectiveQuantumCoherence,
    
    // Ion channel dynamics
    pub ion_channels: IonChannelDynamics,
}

impl CollectiveIonField {
    pub fn evolve_collective_state(&mut self, input: QuantumInput, 
        hardware_oscillations: HardwareOscillations) -> CollectiveFieldState {
        
        // Update proton quantum tunneling for consciousness substrate
        self.update_proton_tunneling(input.proton_activation);
        
        // Coordinate metal ion states
        self.coordinate_metal_ions(input.metal_ion_activation);
        
        // Compute collective quantum coherence
        let coherence_state = self.collective_coherence.compute_coherence(
            &self.proton_states,
            &self.sodium_states,
            &self.potassium_states,
            &self.calcium_states,
            &self.magnesium_states,
            hardware_oscillations
        );
        
        // Update ion channel dynamics
        self.ion_channels.update_dynamics(coherence_state);
        
        CollectiveFieldState::new(coherence_state)
    }
    
    fn update_proton_tunneling(&mut self, activation: ProtonActivation) {
        for proton_state in &mut self.proton_states {
            // Quantum tunneling probability calculation
            let tunneling_probability = self.calculate_tunneling_probability(
                proton_state.position,
                proton_state.energy,
                activation.barrier_height
            );
            
            // Update quantum state based on tunneling
            if tunneling_probability > activation.threshold {
                proton_state.tunnel_to_new_state(activation.target_state);
            }
        }
    }
    
    fn coordinate_metal_ions(&mut self, activation: MetalIonActivation) {
        // Sodium-potassium pump quantum effects
        self.update_sodium_potassium_dynamics(activation.na_k_pump_state);
        
        // Calcium signaling quantum coherence
        self.update_calcium_signaling(activation.calcium_signaling);
        
        // Magnesium ATP coordination
        self.update_magnesium_atp_coordination(activation.mg_atp_state);
    }
}

pub struct QuantumEnhancedHodgkinHuxley {
    // Membrane capacitance
    pub membrane_capacitance: f64,
    
    // Quantum-corrected conductances
    pub sodium_conductance: QuantumConductance,
    pub potassium_conductance: QuantumConductance,
    pub leak_conductance: f64,
    
    // Quantum-enhanced gating variables
    pub sodium_activation: QuantumGatingVariable,
    pub sodium_inactivation: QuantumGatingVariable,
    pub potassium_activation: QuantumGatingVariable,
    
    // Reversal potentials with quantum corrections
    pub sodium_reversal: f64,
    pub potassium_reversal: f64,
    pub leak_reversal: f64,
    
    // Quantum coherence coupling
    pub quantum_coupling: QuantumCoherenceCoupling,
}

impl QuantumEnhancedHodgkinHuxley {
    pub fn update_membrane_dynamics(&mut self, 
        quantum_field: CollectiveFieldState,
        oscillation_phase: OscillationPhase,
        dt: f64) -> MembraneDynamicsState {
        
        // Calculate quantum-corrected membrane potential
        let current_potential = self.calculate_membrane_potential(quantum_field);
        
        // Update quantum-enhanced gating variables
        self.update_quantum_gating_variables(current_potential, quantum_field, dt);
        
        // Calculate quantum-corrected ionic currents
        let sodium_current = self.calculate_quantum_sodium_current(current_potential);
        let potassium_current = self.calculate_quantum_potassium_current(current_potential);
        let leak_current = self.calculate_leak_current(current_potential);
        
        // Apply oscillation-dependent modulation
        let modulated_currents = self.apply_oscillation_modulation(
            sodium_current,
            potassium_current,
            leak_current,
            oscillation_phase
        );
        
        // Calculate new membrane potential
        let total_current = modulated_currents.sodium + modulated_currents.potassium + modulated_currents.leak;
        let new_potential = current_potential + (total_current / self.membrane_capacitance) * dt;
        
        MembraneDynamicsState {
            membrane_potential: new_potential,
            sodium_current: modulated_currents.sodium,
            potassium_current: modulated_currents.potassium,
            leak_current: modulated_currents.leak,
            quantum_coherence_factor: quantum_field.coherence_strength,
        }
    }
    
    fn calculate_quantum_sodium_current(&self, voltage: f64) -> f64 {
        // Traditional Hodgkin-Huxley sodium current
        let classical_current = self.sodium_conductance.base_value * 
            self.sodium_activation.value.powi(3) * 
            self.sodium_inactivation.value * 
            (voltage - self.sodium_reversal);
        
        // Apply quantum correction
        let quantum_correction = self.sodium_conductance.quantum_correction_factor;
        
        classical_current * quantum_correction
    }
    
    fn update_quantum_gating_variables(&mut self, voltage: f64, 
        quantum_field: CollectiveFieldState, dt: f64) {
        
        // Sodium activation with quantum effects
        let na_m_alpha = self.calculate_quantum_corrected_alpha_m(voltage, quantum_field);
        let na_m_beta = self.calculate_quantum_corrected_beta_m(voltage, quantum_field);
        let na_m_inf = na_m_alpha / (na_m_alpha + na_m_beta);
        let na_m_tau = 1.0 / (na_m_alpha + na_m_beta);
        
        self.sodium_activation.value += (na_m_inf - self.sodium_activation.value) * dt / na_m_tau;
        
        // Similar updates for other gating variables...
    }
}

pub struct HierarchicalProbabilisticCircuit {
    // Circuit topology layers
    pub local_circuits: Vec<LocalCircuit>,
    pub regional_circuits: Vec<RegionalCircuit>,
    pub global_circuits: Vec<GlobalCircuit>,
    
    // Probabilistic dynamics
    pub probability_engine: ProbabilisticDynamicsEngine,
    
    // ATP-constrained circuit activation
    pub atp_constraints: ATPCircuitConstraints,
    
    // Oscillatory synchronization
    pub oscillatory_sync: OscillatorySynchronization,
}

impl HierarchicalProbabilisticCircuit {
    pub fn process_hierarchical_signal(&mut self, 
        membrane_response: MembraneDynamicsState) -> HierarchicalResponse {
        
        // Process through local circuits first
        let local_responses = self.process_local_circuits(membrane_response);
        
        // Integrate local responses at regional level
        let regional_responses = self.process_regional_circuits(local_responses);
        
        // Integrate regional responses at global level
        let global_response = self.process_global_circuits(regional_responses);
        
        // Apply ATP constraints
        let atp_constrained = self.atp_constraints.apply_constraints(global_response);
        
        // Synchronize with oscillatory dynamics
        let synchronized = self.oscillatory_sync.synchronize_response(atp_constrained);
        
        HierarchicalResponse::new(synchronized)
    }
    
    fn process_local_circuits(&mut self, input: MembraneDynamicsState) -> Vec<LocalCircuitResponse> {
        self.local_circuits.iter_mut().map(|circuit| {
            circuit.process_membrane_input(input)
        }).collect()
    }
}

pub struct SpecializedProcessingArray {
    // Autobahn probabilistic reasoning
    pub autobahn_processor: Option<AutobahnProcessor>,
    
    // Heihachi fire-emotion processing
    pub heihachi_processor: Option<HeihachiProcessor>,
    
    // Helicopter visual understanding
    pub helicopter_processor: Option<HelicopterProcessor>,
    
    // Izinyoka metacognitive orchestration
    pub izinyoka_processor: Option<IzinyokaProcessor>,
    
    // Kwasa-Kwasa semantic processing
    pub kwasa_kwasa_processor: Option<KwasaKwasaProcessor>,
    
    // Four Sided Triangle thought validation
    pub four_sided_triangle: Option<FourSidedTriangleProcessor>,
    
    // Processing delegation system
    pub delegation_system: ProcessingDelegationSystem,
}

impl SpecializedProcessingArray {
    pub fn process_specialized_input(&mut self, 
        input: SpecializedInput,
        quantum_context: QuantumContext) -> SpecializedOutput {
        
        match input {
            SpecializedInput::Probabilistic(prob_input) => {
                if let Some(ref mut autobahn) = self.autobahn_processor {
                    let prob_result = autobahn.process_probabilistic_reasoning(prob_input, quantum_context);
                    SpecializedOutput::Probabilistic(prob_result)
                } else {
                    SpecializedOutput::ProcessorNotAvailable
                }
            },
            
            SpecializedInput::FireEmotion(fire_input) => {
                if let Some(ref mut heihachi) = self.heihachi_processor {
                    let emotion_result = heihachi.process_fire_emotion(fire_input, quantum_context);
                    SpecializedOutput::FireEmotion(emotion_result)
                } else {
                    SpecializedOutput::ProcessorNotAvailable
                }
            },
            
            SpecializedInput::Visual(visual_input) => {
                if let Some(ref mut helicopter) = self.helicopter_processor {
                    let visual_result = helicopter.process_visual_understanding(visual_input, quantum_context);
                    SpecializedOutput::Visual(visual_result)
                } else {
                    SpecializedOutput::ProcessorNotAvailable
                }
            },
            
            SpecializedInput::Semantic(semantic_input) => {
                if let Some(ref mut kwasa_kwasa) = self.kwasa_kwasa_processor {
                    let semantic_result = kwasa_kwasa.process_semantic_understanding(semantic_input, quantum_context);
                    
                    // Validate through Four Sided Triangle if available
                    if let Some(ref mut four_sided) = self.four_sided_triangle {
                        let validated_result = four_sided.validate_thought_structure(semantic_result);
                        SpecializedOutput::Semantic(validated_result)
                    } else {
                        SpecializedOutput::Semantic(semantic_result)
                    }
                } else {
                    SpecializedOutput::ProcessorNotAvailable
                }
            },
            
            SpecializedInput::Metacognitive(meta_input) => {
                if let Some(ref mut izinyoka) = self.izinyoka_processor {
                    let meta_result = izinyoka.process_metacognitive_orchestration(meta_input, quantum_context);
                    SpecializedOutput::Metacognitive(meta_result)
                } else {
                    SpecializedOutput::ProcessorNotAvailable
                }
            },
        }
    }
}

pub struct HeihachiProcessor {
    // Fire pattern recognition
    pub fire_pattern_recognizer: FirePatternRecognizer,
    
    // Emotional mapping engine
    pub emotion_mapper: EmotionalMappingEngine,
    
    // Fire-wavelength resonance (600-700nm)
    pub fire_wavelength_resonance: FireWavelengthResonance,
    
    // Emotional state encoder
    pub emotional_encoder: EmotionalStateEncoder,
}

impl HeihachiProcessor {
    pub fn process_fire_emotion(&mut self, 
        fire_input: FireInput,
        quantum_context: QuantumContext) -> FireEmotionResult {
        
        // Recognize fire patterns
        let fire_patterns = self.fire_pattern_recognizer.recognize_patterns(fire_input);
        
        // Map to emotional content
        let emotional_content = self.emotion_mapper.map_fire_to_emotion(fire_patterns);
        
        // Optimize for fire-wavelength resonance
        let resonance_optimized = self.fire_wavelength_resonance.optimize_resonance(
            emotional_content,
            quantum_context.collective_field_state
        );
        
        // Encode emotional state in neural oscillations
        let encoded_emotion = self.emotional_encoder.encode_emotional_oscillations(
            resonance_optimized
        );
        
        FireEmotionResult {
            emotional_content: encoded_emotion,
            fire_patterns: fire_patterns,
            resonance_strength: resonance_optimized.resonance_strength,
            quantum_coherence_enhancement: quantum_context.coherence_enhancement,
        }
    }
}

pub struct QuantumSynapse {
    // Synaptic weight with quantum corrections
    pub weight: QuantumSynapticWeight,
    
    // Presynaptic terminal
    pub presynaptic_terminal: PresynapticTerminal,
    
    // Postsynaptic density
    pub postsynaptic_density: PostsynapticDensity,
    
    // Quantum tunneling dynamics
    pub quantum_tunneling: QuantumTunnelingDynamics,
    
    // Neurotransmitter vesicle pool
    pub vesicle_pool: ATPConstrainedVesiclePool,
    
    // Plasticity mechanisms
    pub plasticity_mechanisms: SynapticPlasticityMechanisms,
}

impl QuantumSynapse {
    pub fn transmit_signal(&mut self, 
        presynaptic_spike: ActionPotential,
        quantum_context: QuantumContext) -> SynapticTransmission {
        
        // Calculate quantum tunneling probability for calcium influx
        let ca_tunneling_prob = self.quantum_tunneling.calculate_calcium_tunneling(
            presynaptic_spike.amplitude,
            quantum_context.collective_field_strength
        );
        
        // Determine vesicle release probability
        let release_probability = self.calculate_release_probability(
            ca_tunneling_prob,
            quantum_context.oscillation_phase
        );
        
        // Check ATP availability for vesicle fusion
        if self.vesicle_pool.check_atp_availability(release_probability) {
            // Calculate neurotransmitter release amount
            let nt_amount = self.calculate_neurotransmitter_release(release_probability);
            
            // Update synaptic weight based on timing
            self.plasticity_mechanisms.update_weight(
                presynaptic_spike.timing,
                quantum_context.temporal_context
            );
            
            // Consume ATP for vesicle fusion
            self.vesicle_pool.consume_atp(nt_amount);
            
            SynapticTransmission::Success {
                neurotransmitter_amount: nt_amount,
                quantum_enhancement: quantum_context.coherence_enhancement,
                weight_update: self.weight.current_value,
            }
        } else {
            SynapticTransmission::ATPConstrained {
                available_atp: self.vesicle_pool.available_atp(),
                required_atp: release_probability,
            }
        }
    }
}

pub struct QuantumEnhancedPlasticity {
    // Spike-timing dependent plasticity with quantum effects
    pub quantum_stdp: QuantumSTDP,
    
    // Homeostatic scaling
    pub homeostatic_scaling: HomeostasisScaling,
    
    // Metaplasticity mechanisms
    pub metaplasticity: MetaplasticityMechanisms,
    
    // Quantum coherence-dependent plasticity
    pub coherence_plasticity: CoherenceDependentPlasticity,
}

impl QuantumEnhancedPlasticity {
    pub fn update_plasticity(&mut self, 
        pre_spike: ActionPotential,
        post_spike: ActionPotential,
        quantum_context: QuantumContext) -> PlasticityUpdate {
        
        // Calculate quantum-enhanced STDP
        let stdp_update = self.quantum_stdp.calculate_update(
            pre_spike.timing,
            post_spike.timing,
            quantum_context.coherence_strength
        );
        
        // Apply homeostatic scaling
        let homeostatic_adjustment = self.homeostatic_scaling.calculate_adjustment(
            post_spike.frequency,
            quantum_context.metabolic_state
        );
        
        // Apply metaplasticity modifications
        let metaplastic_modulation = self.metaplasticity.calculate_modulation(
            stdp_update,
            quantum_context.plasticity_history
        );
        
        // Apply quantum coherence-dependent plasticity
        let coherence_modulation = self.coherence_plasticity.calculate_modulation(
            quantum_context.collective_field_coherence
        );
        
        PlasticityUpdate {
            weight_change: stdp_update * homeostatic_adjustment * metaplastic_modulation * coherence_modulation,
            learning_rate_adjustment: metaplastic_modulation,
            quantum_enhancement: coherence_modulation,
        }
    }
}

pub struct MetabolicState {
    // ATP pool dynamics
    pub atp_pool: ATPPool,
    
    // Energy consumption tracking
    pub energy_consumption: EnergyConsumptionTracker,
    
    // Metabolic efficiency optimization
    pub efficiency_optimizer: MetabolicEfficiencyOptimizer,
    
    // Glucose and oxygen availability
    pub glucose_availability: GlucoseAvailability,
    pub oxygen_availability: OxygenAvailability,
}

impl MetabolicState {
    pub fn update_metabolic_state(&mut self, 
        neural_activity: NeuralActivity,
        quantum_processing_cost: QuantumProcessingCost) -> MetabolicUpdate {
        
        // Calculate energy costs
        let membrane_cost = self.calculate_membrane_energy_cost(neural_activity);
        let synaptic_cost = self.calculate_synaptic_energy_cost(neural_activity);
        let quantum_cost = quantum_processing_cost.total_cost();
        
        let total_cost = membrane_cost + synaptic_cost + quantum_cost;
        
        // Check ATP availability
        if self.atp_pool.check_availability(total_cost) {
            // Consume ATP
            self.atp_pool.consume(total_cost);
            
            // Update energy consumption tracking
            self.energy_consumption.record_consumption(total_cost);
            
            // Optimize metabolic efficiency
            let efficiency_update = self.efficiency_optimizer.optimize_efficiency(
                neural_activity,
                total_cost
            );
            
            MetabolicUpdate::Success {
                atp_consumed: total_cost,
                efficiency_adjustment: efficiency_update,
                remaining_atp: self.atp_pool.available(),
            }
        } else {
            MetabolicUpdate::InsufficientATP {
                required: total_cost,
                available: self.atp_pool.available(),
            }
        }
    }
}

pub struct ConsciousnessMetrics {
    // Integrated Information (Φ-like measure)
    pub integrated_information: IntegratedInformationCalculator,
    
    // Quantum coherence measures
    pub quantum_coherence_metrics: QuantumCoherenceMetrics,
    
    // Cross-modal binding strength
    pub binding_strength: CrossModalBindingStrength,
    
    // Temporal coherence measures
    pub temporal_coherence: TemporalCoherenceMetrics,
    
    // Specialized processing coherence
    pub specialized_coherence: SpecializedProcessingCoherence,
}

impl ConsciousnessMetrics {
    pub fn calculate_consciousness_metrics(&mut self, 
        neural_state: NeuralState,
        quantum_context: QuantumContext) -> ConsciousnessMetricsResult {
        
        // Calculate integrated information
        let phi = self.integrated_information.calculate_phi(neural_state);
        
        // Calculate quantum coherence metrics
        let quantum_coherence = self.quantum_coherence_metrics.calculate_coherence(
            quantum_context.collective_field_state
        );
        
        // Calculate cross-modal binding strength
        let binding_strength = self.binding_strength.calculate_binding(
            neural_state.cross_modal_activity
        );
        
        // Calculate temporal coherence
        let temporal_coherence = self.temporal_coherence.calculate_coherence(
            neural_state.temporal_patterns
        );
        
        // Calculate specialized processing coherence
        let specialized_coherence = self.specialized_coherence.calculate_coherence(
            neural_state.specialized_processing_states
        );
        
        ConsciousnessMetricsResult {
            integrated_information: phi,
            quantum_coherence: quantum_coherence,
            binding_strength: binding_strength,
            temporal_coherence: temporal_coherence,
            specialized_coherence: specialized_coherence,
            overall_consciousness_level: self.calculate_overall_level(
                phi, quantum_coherence, binding_strength, temporal_coherence, specialized_coherence
            ),
        }
    }
}