Kitware (United States)

The Qualia Tomogram: A Generalized Projection-Slice Framework for Receiver-Conditioned Neural Reconstruction

The Qualia Tomogram develops a falsifiable projection-slice framework for studying how partial, receiver-conditioned neural measurements could support a shared, body-relative reconstruction. It connects the Self Aware Networks concepts of tonic context, Phase-Wave Differentials,...

Cortical Columns, Capsules, and Transformers: A Typed Benchmark for Part-Whole Representation, Reference Frames, Routing, and Receiver-Relative Dynamics

# Cortical Columns, Capsules, and Transformers Recognizing a moving or partly hidden object requires a system to preserve relations among parts, wholes, pose, context, time, and action while its immediate inputs change. This paper makes a direct operational comparison among corti...

Dialogue as a Coupled Neural System: Interpersonal Synchronization, Shared Reference Frames, and Informative Divergence

Two people in dialogue must become similar enough to establish common reference while remaining different enough to contribute independent evidence, correct errors, and explore alternatives. This paper develops a source-faithful Self Aware Networks framework for dialogue as an en...

Alternating Transmission Protocol: Receiver-Dependent Allocation of Rapid and Recurrent Processing

# Provider Description A nervous system cannot allocate the same amount of return processing to every event. Some actions can proceed from recent evidence; some require earlier context, correction, or recurrent stabilization; and some uncertainties cannot be repaired by more comp...

From 3D Semantic Segmentation to Qualitative Neural Rendering: Object Boundaries, Multisensory Registration, and Tests of Differentiated Content

This paper asks what must be added to three-dimensional semantic segmentation before a distributed biological system can be said to organize differentiated, object-specific content. It begins with ordinary object perception and separates class labels, instance identity, border ow...

Multiscale Causation in Self-Aware Networks: Bottom-Up Construction, Top-Down Constraint, and Lateral Coordination

This preprint develops an intervention-based framework for separating bottom-up construction, top-down constraint, lateral coordination, and returned consequence in multiscale neural and artificial systems. Four controlled synthetic studies test the measurement procedure against...

Fractal Conscious Perception: Multiscale Morphology, Statistical Self-Similarity, and Route-Specific Neural Reinstatement

# Provider Description Microscopic changes in cells and connections can later contribute to a distributed memory, perception, or imagined scene. This paper asks how relations encoded at one physical scale can constrain patterns at another scale without requiring the brain to enla...

Gravitational Reference Frames in Cortical Networks: Multisensory Orientation, Embodied Neural Rendering, and Tests of Local, Broadcast, and Recurrent-Distributed Architectures

# Provider Description The world ordinarily remains upright while the eyes, head, and body move, even though retinal coordinates rotate and every sensory cue is uncertain. This paper asks how cortical and subcortical populations might construct a usable gravity-aligned context fo...

Undecidability Does Not Kill Simulation: Provability, Execution, and the Missing Premise in Anti-Simulation Arguments

Arguments based on Gödel incompleteness and undecidable questions in physics are sometimes presented as proofs that the universe cannot be simulated. This paper reconstructs that argument in its strongest form and identifies a missing premise. Generating a process one step at a t...

Dialogue as a Coupled Neural System: Interpersonal Synchronization, Shared Reference Frames, and Informative Divergence

Two people in dialogue must become similar enough to establish common reference while remaining different enough to contribute independent evidence, correct errors, and explore alternatives. This paper develops a source-faithful Self Aware Networks framework for dialogue as an en...

Dreams as Predictive Neural Rendering: Memory Recombination, Internal Simulation, and State-Dependent Testing

This theory-and-methods paper develops a source-faithful Self Aware Networks account of dreams as state-conditioned predictive neural renderings. It separates scene generation, source attribution, vividness, memory recombination, conscious access, and later report; specifies disc...

Alternating Transmission Protocol: Receiver-Dependent Allocation of Rapid and Recurrent Processing

# Provider Description A nervous system cannot allocate the same amount of return processing to every event. Some actions can proceed from recent evidence; some require earlier context, correction, or recurrent stabilization; and some uncertainties cannot be repaired by more comp...

From Gamma Synchrony to Informative Difference: A Shannon-Theoretic Model of Tonic Context and Phase-Wave Differentials

# Provider Description Gamma synchronization can coordinate distributed neural populations, but coordination alone does not specify what changed in a neural state. This paper develops a Self Aware Networks model in which a learned receiver-specific tonic sequence supplies context...

Super Evolution Theory: From Receptor-State Computation to Reticulate Evolution

Super Evolution Theory develops a receiver-centered framework connecting cellular signal processing, cellular memory, and reticulate evolution. The serotonin receptor ecosystem is used as a worked mechanism: the paper follows synthesis, vesicular storage, release, receptor-specif...

Can a Neuron Store Infinite Information? Continuous Morphology, Finite Biological Resolution, and Accessible Neural Memory

This paper separates four questions that are often hidden inside claims about neural information capacity: how many distinctions an ideal continuous morphology admits, how many states a physical neuron can reliably occupy, how many of those states implement distinguishable functi...

From Cellular Difference to Population Reinstatement: Oscillatory Scaling, Inhibitory Waves, and Neural Projection in Self Aware Networks

This paper asks how a relation stored in local cellular and synaptic organization can become recoverable across a larger neural population without requiring a literal copy at every stage. It proposes transformed relation preservation: a compatible input engages a learned cellular...

Can a Neuron Store Infinite Information? Continuous Morphology, Finite Biological Resolution, and Accessible Neural Memory

This paper separates four questions that are often hidden inside claims about neural information capacity: how many distinctions an ideal continuous morphology admits, how many states a physical neuron can reliably occupy, how many of those states implement distinguishable functi...

The External Cortex Loop: Contingency Interruption, Reinstatement, and Cognitive Incorporation in EEG Neurofeedback

This theory-and-methods paper proposes a causal assay for deciding when a person-specific EEG-to-sensory feedback process has become functionally incorporated into a learned operation. Participants acquire a live mapping, undergo concealed sensory-matched contingency interruption...