Novel Place Cell Metric (Connected Component Firing Mass Ratio)

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Novel place cell metric (largest connected component firing mass ratio) successfully distinguishes TEM-t memory neurons (place cells) from RNN neurons (grid cells)finding0.866
  Methodological validation result confirming the place-cell metric separates cell types in TEM-t.
• Place Cell Activityfinding0.704
  Hippocampal phenomenon reproduced by active inference model.
• Properties in each cluster appear to be similar or interrelatedclaim0.702
  Interpretive claim that the statistically derived clusters reflect conceptual similarity or interdependence among the properties.
• Multi-Attempt Rate (metric)concept0.701
  Secondary metric: percentage of responses containing multiple attempts, separating surface from actual self-correction
• The likelihood of a dedicated feature for a concept (element, city, animal, food) follows a sigmoid in log-frequency of the concept in training data, with threshold frequency inversely proportional to number of alive features.finding0.701
  Quantitative relationship between concept frequency and feature presence.
• Degree of life varies with relative configuration of surrounding centers, not absolute properties.claim0.701
• Place Cellsconcept0.700
  Hippocampal neurons with spatially-specific firing; TEM-t memory neurons resemble these and remap randomly between environments.
• Target vs. Off-Target Probe Area Metricmethod0.698
  Metric introduced to quantify steering selectivity by comparing the area of target and off-target concept probes.