SMNI path integral equations — handwritten

Our Vision

To create signs of the world's very first true Artificial General Intelligence…

An AI that possesses consciousness…
and the curiosity, amazement, and wonder of a child.

Intelligence is nonlinear.
So is our approach.

Nonlinear Dynamics is a research company at the intersection of neuroscience, mathematics, and machine learning. We pursue a first-principles path toward artificial general intelligence — not by scaling existing paradigms, but by understanding the computational architecture of consciousness itself.

Founded by Ronald Stesiak and headquartered in Pittsburgh, PA, we work at the frontier of predictive coding, cortical modeling, and emergent cognition. Our research partnerships span the U.S. Air Force Research Laboratory and NVIDIA's applied AI division.

10+ Years in AI Research
USAF Research Partnership
NVIDIA Consulting & Collaboration
AGI Our North Star

Where we focus

Our work spans the theoretical foundations and engineering required to build machines that don't just compute — they understand.

Predictive Coding & Free Energy

Implementing hierarchical predictive coding networks grounded in the Free Energy Principle. Our models minimize surprise through active inference, mirroring how biological brains construct reality from prediction error.

Cortical Architecture Modeling

Designing computational substrates inspired by the neocortex's columnar organization. Our architectures capture the six-layer structure and lateral/feedback connectivity that enable flexible, generalizable reasoning.

Nonlinear Dynamical Systems

Leveraging chaos theory, attractor dynamics, and bifurcation analysis to understand how stable cognition emerges from fundamentally unstable neural substrates. Intelligence lives at the edge of chaos.

EXCALIBUR Program

Our flagship research program in collaboration with the U.S. Air Force. Developing next-generation AI systems for complex decision-making under uncertainty in adversarial, high-stakes environments.

GPU-Accelerated Neural Simulation

Pioneering CUDA-based neural simulation since NVIDIA's early days. Our custom kernels enable real-time simulation of large-scale spiking networks and continuous-time attractor models on modern GPU architectures.

Consciousness & Emergent Cognition

Investigating the computational correlates of consciousness. We study how subjective experience, curiosity, and wonder might emerge from sufficiently complex self-modeling systems.

Selected works

Our research contributions to the fields of artificial intelligence, computational neuroscience, and nonlinear dynamics.

2014

Electroencephalographic Field Influence on Calcium Momentum Waves

L. Ingber, R. Stesiak — Journal of Theoretical Biology, March 30, 2014

Macroscopic EEG fields can be an explicit top-down neocortical mechanism that directly drives bottom-up processes that describe memory, attention, and other neuronal processes. The top-down mechanism considered is macrocolumnar EEG firings in neocortex, as described by a statistical mechanics of neocortical interactions (SMNI), developed as a magnetic vector potential A.

The people behind the research

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Research Collaborators

Partners & Advisors

We work with researchers and engineers across the U.S. Air Force, NVIDIA, Carnegie Mellon, and the University of Pittsburgh. Interested in joining our mission? We're always looking for exceptional minds.

Let's talk.

Whether you're a researcher interested in collaboration, a government agency exploring AI capabilities, or an organization seeking consulting — we'd like to hear from you.

Location Pittsburgh, PA