🧠 Neuraxon v2.0

By David Vivancos & Jose Sanchez — Qubic Open Science & Artificiology Research, UNIR

Build Your Bio-Inspired Neural Network based on Neuraxon 2.0 paper & Qubic's Aigarth Intelligent Tissue

💾

Network Identity & Management

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Network Name

📤 Load Params 📥 Load Model

🏗

Network Architecture

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Input Neurons5

Hidden Neurons20

Output Neurons5

Dendritic Branches3

Dendritic Spike Threshold0.40

Supralinear Gamma1.30

Watts-Strogatz Small-World Topology

WS k (neighbors)6

WS β (rewire prob)0.30

⚡

Neuron Parameters

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Membrane τ (ms)20.0

Excitatory θ0.40

Inhibitory θ-0.40

Adaptation τ100.0

Autoreceptor τ200.0

Spontaneous Rate0.020

Health Decay0.0010

Homeostatic Plasticity (Eq 1)

Target Firing Rate0.200

Homeostatic Rate0.00050

Firing Rate α0.010

Threshold Mod k0.30

🔄

MSTH — Multi-Scale Temporal Homeostasis

▸

4 regulatory loops: Ultrafast (~5ms) → Fast (~2s) → Medium (~5min) → Slow (~1h)

Ultrafast τ (ms)5.0

Ultrafast Ceiling2.00

Fast τ (ms)2000

Fast Gain0.100

Medium τ (ms)300000

Medium Gain0.0010

Slow τ (ms)3600000

Slow Gain0.00010

🧬

DSN Dynamic Decay & CTSN Complement

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DSN — Dynamic Decay (α_t via causal conv)

DSN Enabled

Kernel Size4

DSN Bias0.00

CTSN — Complemented Trinary State (s̃ = s + h)

CTSN Enabled

CTSN ρ0.90

🔗

Synapse Parameters

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τ Fast (ms)5.0

τ Slow (ms)50.0

τ Meta (ms)1000

τ STDP (ms)20.0

Weight Init Ranges

W_fast min-0.80

W_fast max0.80

W_slow min-0.40

W_slow max0.40

W_meta min-0.30

W_meta max0.30

⏱

ChronoPlasticity — Synaptic Time Warping

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Eqs 5-7: Learned ω_t controls temporal memory horizon

ChronoPlasticity Enabled

α_fast0.950

α_slow0.990

λ_fast0.150

λ_slow0.080

🌟

AGMP — Astrocyte-Gated Plasticity

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Eqs 8-10: Eligibility × Dopamine × Astrocyte

AGMP Enabled

λ_eligibility0.950

λ_astrocyte0.9990

η (learning rate)0.0050

🌱

Plasticity & Structural

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Learning Rate0.010

STDP Window (ms)20.0

Associative α0.0050

Synapse Integrity θ0.10

Formation Prob0.050

Death Prob0.010

Neuron Death θ0.10

🧪

Neuromodulator System

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🎯 Dopamine Baseline0.15

😊 Serotonin Baseline0.15

💡 Acetylcholine Baseline0.15

⚡ Norepinephrine Baseline0.15

τ Tonic (ms)5000

τ Phasic (ms)200

Release Rate0.020

〰

Oscillator Bank

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Multi-band: Infraslow (0.05Hz) → Slow (0.5Hz) → Theta (6Hz) → Alpha (10Hz) → Gamma (40Hz) with PAC

Coupling Strength0.10

🧫

Aigarth Hybridization

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Evolutionary ITU: population + mutation + selection

Population Size10

ITU Size12

Tick Cap20

W_fast Mutation P0.30

W_slow Mutation P0.10

W_meta Mutation P0.05

⏱

Simulation

▼

dt (ms)1.0

Steps2000

🧠 Neuraxon v2.0

Network Identity & Management

Network Architecture

Watts-Strogatz Small-World Topology

Neuron Parameters

Homeostatic Plasticity (Eq 1)

MSTH — Multi-Scale Temporal Homeostasis

DSN Dynamic Decay & CTSN Complement

DSN — Dynamic Decay (α_t via causal conv)

CTSN — Complemented Trinary State (s̃ = s + h)

Synapse Parameters

Weight Init Ranges

ChronoPlasticity — Synaptic Time Warping

AGMP — Astrocyte-Gated Plasticity

Plasticity & Structural

Neuromodulator System

Oscillator Bank

Aigarth Hybridization

Simulation

Input Neurons

Simulation

Neuromodulators (Tonic)

Receptor Activations

Oscillator Bank