activity
20162025
most citedToward the quantification of cognition

12 citations · 48 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CL2025

Three tiers of computation in transformers and in brain architectures

E Graham, R Granger

Human language and logic abilities are computationally quantified within the well-studied grammar-automata hierarchy. We identify three hierarchical tiers and two corresponding tra…

q-bio.NC2020★ 6 cited

On the contrast-dependence of crowding

A Rodriguez, R Granger

Visual clutter affects our ability to see: objects that would be identifiable on their own, may become unrecognizable when presented close together ("crowding") -- but the psychoph…

q-bio.NC2020★ 3 cited

Towards a perceptual distance metric for auditory stimuli

Sarah Oh, Elijah FW Bowen, Antonio Rodriguez +5

Although perceptual (dis)similarity between sensory stimuli seems akin to distance, measuring the Euclidean distance between vector representations of auditory stimuli is a poor es…

cs.CV2020★ 1 cited

Visual stream connectivity predicts assessments of image quality

Elijah Bowen, Antonio Rodriguez, Damian Sowinski +1

Some biological mechanisms of early vision are comparatively well understood, but they have yet to be evaluated for their ability to accurately predict and explain human judgments…

q-bio.NC2020★ 12 cited

Toward the quantification of cognition

Richard Granger

The machinery of the human brain -- analog, probabilistic, embodied -- can be characterized computationally, but what machinery confers what computational powers? Any such system c…

q-bio.NC2017

The differential geometry of perceptual similarity

Antonio M Rodriguez, Richard Granger

Human similarity judgments are inconsistent with Euclidean, Hamming, Mahalanobis, and the majority of measures used in the extensive literatures on similarity and dissimilarity. Fr…

q-bio.NC2017★ 10 cited

Derivation of a novel efficient supervised learning algorithm from cortical-subcortical loops

Ashok Chandrashekar, Richard Granger

Although brain circuits presumably carry out useful perceptual algorithms, few instances of derived biological methods have been found to compete favorably against algorithms that…

q-bio.NC2017★ 5 cited

How brains are built: Principles of computational neuroscience

Richard Granger

'If I cannot build it, I do not understand it.' So said Nobel laureate Richard Feynman, and by his metric, we understand a bit about physics, less about chemistry, and almost nothi…

q-bio.NC2016★ 11 cited

The grammar of mammalian brain capacity

A Rodriguez, R Granger

Uniquely human abilities may arise from special-purpose brain circuitry, or from concerted general capacity increases due to our outsized brains. We forward a novel hypothesis of t…