Andromeda Neuro

Network

Spike rasterlast 1 s

Population rateHz

Membrane potentialclick a neuron

Sim time0 ms

Mean rate—

Active neurons—

Dominant rhythm—

Synapses—

Network

epoch 0

Output

Show test data

Train loss—

Test loss—

Test accuracy—

Connectome

Built-in model

Import FlyWire / neuPrint edge tables, a labelled regional adjacency matrix, or an Andromeda Neuro JSON.

Import settings & provenance

Table format Species · transmitter assumptions for edge lists Dataset name Dataset release

Minimum synapse count Select annotation regions · optional Select neuron IDs · optional

Selections retain connections with both endpoints selected. Region selection needs the neuron annotation file. Combining both filters takes their intersection; boundary connections are excluded. Filtering happens before import size limits.

Select connections and neuron annotation files together. IDs stay as strings. Imports retain your dataset and release labels.

Simulation

Stimulus

Display

Long-range connections Region labels Auto-rotate

Regions

3D modeldrag to orbit · right-drag to pan · scroll to zoom · click a unit

Region activityHz, last 4 s

Brain model

Built-in model

Model notes

Execution

Run simulation on

Local worker · model loading

Repeated stimulation experiment

Compare baseline, stimulus and recovery across currents. Each trial starts from its seed; matched repeats use the same seed at every current.

Target region Currents · comma separated

Repeats per current Seed

Baseline · ms Stimulus · ms Recovery · ms

Ready to compare model responses.

Dynamics & plasticity

Excitatory gain Inhibitory gain

Excitatory noise Inhibitory noise

Pair-based STDP plasticity

Comparisons use the values above in fresh trials. Apply dynamics also updates the console, restarting neural activity and clearing learned labels when values change. Currents, gains and noise are model parameters.

Experiment project

Save connectivity, dynamics, learned labels, protocol and results. Opening restarts neural activity from the saved seed.

Single stimulus

Region

Model current Duration · ms

What this does

Runs a spiking circuit and reports its measured activity. Commands and learned labels provide an experimental interaction interface.

No LLM is used. Formatted replies and learned labels do not establish biological language, awareness or consciousness. The human model is illustrative and uses population units.

Activity recordingRun a command or comparison

Population firing rate · Hz/unit—

Spike raster · model unit index—

Simulation consolecommands & measured responses

Measured activitycurrent session

Simulated time0 ms

Model units—

Connections—

Region	Units	Spikes	Rate · Hz/unit

Rates describe model activity. “Ask” returns a label from an external readout trained on spike patterns; it is not free-form language generated by the circuit.

Experiment comparisonNo completed experiment

Run a repeated stimulation experiment to compare the whole-circuit response at different currents. Delta is stimulus rate minus its own trial baseline.

Current	Mean Δ Hz/unit	SD Δ	vs 0 current

Individual trials

Current / repeat	Baseline	Stimulus	Recovery	Δ Hz/unit

A comparison displays its final trial recording; later console commands display their own activity. SD describes repeat variability, not confidence or biological validity. Comparison trials leave the console session unchanged.