Neural Coding

Neural coding is the set of principles by which biological neurons represent and transmit information. The classical view held that single neurons encode specific features through their firing rates — the rate code hypothesis — but contemporary evidence favors population-level and dynamical coding in which information is distributed across many neurons and encoded in the geometry of collective trajectories through state space. This shift from single-neuron to population codes connects neural coding directly to neural computation as a dynamical system, and challenges the intuition that the brain represents the world the way a digital computer represents data.

The deeper question is whether any stable neural code exists at all, or whether representation is itself a transient, context-dependent dynamical process — a view that would collapse the distinction between coding and computation entirely.