NeuroAI Bare Brain Computational Simulator

Circuit Architecture Presets

3-layer bio-inspired network calculating sensory residual errors & feedback expectations.

Neuron Dynamics

Model:

Sensory Input Rate: 20 Hz

Dopamine Base Pulse ($\Delta DA$): 0.80

STDP Plasticity Rate ($\eta$): 0.05

Network State Metrics LIVE

Avg Firing Rate 18.4 Hz

Prediction Error 0.12

Mean Synaptic Weight 0.640

Stability Regime Synchronized Plastic Dynamic

NeuroAI Context: Sensory inputs generate forward spiking. Discrepancies generate Prediction Error (PE), triggering retrograde dopamine modulation ($\delta RPE$) to adapt synaptic coupling weights ($\Delta w$).

Interactive 2D Neural Circuit Topology

Click Neuron: Clamp Voltage | Drag: Re-position

Sensory Input

Error Node (PE)

Internal Model

Dopamine Pulse

Membrane Voltage Oscilloscope ($V_m$)

Sensory Node #0

Spike Raster Plot (Action Potentials)

Layers L1-L3