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researcher

E. Greene

3 papers hereh-index 14793 citations75 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • q-bio.NC3

identity via Semantic Scholar / OpenAlex

most citedRapid de novo shape encoding: a challenge to connectionist modeling

2 citations · 3 across the 2 of their papers we have counts for

collaborators

3 papers

q-bio.NC2020

An evolutionary perspective on the design of neuromorphic shape filters

Ernest Greene

A substantial amount of time and energy has been invested to develop machine vision using connectionist (neural network) principles. Most of that work has been inspired by theories…

q-bio.NC2018★ 1 cited

What constitutes elemental shape information for biological vision?

Ernest Greene, Onyinye Onwuzulike

We do not yet understand how the vertebrate visual system provides for recognition of ob- jects. Countless experiments have been performed to examine the contribution of cues such…

q-bio.NC2018★ 2 cited

Rapid de novo shape encoding: a challenge to connectionist modeling

Ernest Greene

Neural network (connectionist) models are designed to encode image features and provide the building blocks for object and shape recognition. These models generally call for: a) in…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.