What is neural coding?
Neural coding is the study of how information is represented and transmitted by neurons. Practically, we care about:
- What the inputs are (stimuli / upstream spikes / currents)
- What the outputs are (spike trains, rates, timing patterns)
- What is preserved (features, uncertainty, invariants)
What you’ll find here
/playground: interactive simulators (LIF neuron, Hebbian synapse dynamics)/learn: article library that emphasizes reproducible steps and code/api: a stable interface for simulator runs + paper/post ingestion
Reproducibility principle
If an explanation cannot be expressed as:
{ "model": "lif", "params": { "R": 1e7, "C": 1e-9, "V_th": -0.05 }, "seed": 42 }…then it is not done yet.