Beyond the static unit
What changes when a neuron is treated as a dynamical process with internal state, rather than only a static input–output function? We are exploring what kinds of representation that shift might make possible.
Independent research / neural computation
Alternative representations for complex neurons.
Exploring computational representations for complex neurons and neural networks.
Criticality-inspired architectures · nonlinear dynamics · emergent computation
CRITICALITY.WORLD
Independent research / neural computation
Alternative representations for complex neurons.
Exploring computational representations for complex neurons and neural networks.
Research / 00
Representations in motion
Near a boundary
Criticality is one lens on the balance between persistence and responsiveness in interacting systems. We are interested in the conditions under which such regimes emerge, and what they might mean for computation.
From local dynamics to behavior
How do nonlinear local processes shape representation, learning, and behavior across a network? The relationship between a unit’s dynamics and a system’s computation remains an open question.
Research / 01
Open investigations
Operational state
We are exploring units whose internal state evolves and interacts with incoming signals. The aim is to ask what additional forms of representation such dynamics make possible; their usefulness has not yet been established.
Computational regimes
Criticality is one motivating hypothesis among several. We are interested in how changes in coupling and nonlinear response alter persistence, sensitivity, and collective behavior, without assuming that any one regime is optimal.
Learning with dynamics
Richer operational units raise questions about credit assignment, stability, and what it means for a representation to change. These are directions for investigation, not claims of a completed method or result.
Dynamics / a question, not a conclusion
What is a neuron capable of being?
A neuron is often described as an aggregation followed by a nonlinearity. We ask what becomes possible when a unit has evolving internal state. Criticality offers one lens on the regimes that might emerge as units interact. Whether these dynamics support useful representation or learning remains open.
Hypothesis space / no results claimed.
About / inquiry in progress
A research direction, still taking shape.
criticality.world is a research presence focused on alternative computational representations for neurons and neural networks.
The work is exploratory. No institutional affiliation, completed method, or experimental result is being claimed here.