Genealogy of the “Grandmother Cell”
By Charles G. Gross. 2002
310 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Plant Science
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- James J. DiCarlo
- Jeffrey S. Bowers
- Tomaso A. Poggio
- Minjoon Kouh
- Davide Zoccolan
- Christof Koch
- Stephen Waydo
- R. Quian Quiroga
In Plant Science
- Yi Zhong
- R. Quian Quiroga
- Christof Koch
- Lesia Semenova
- Tomaso A. Poggio
- Chudi Zhong
- Itzhak Fried
- James J. DiCarlo
Citations in the corpus
- Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges (2021, methodology): “using these constraints, we could constrain our network to have the kind of “Grandmother node” that scientists have been searching for in both real and artificial convolutional neural networks [115].”
- What is being transferred in transfer learning? (2020, background): “the grandmother cell [15]) respond to complex semantic inputs.”
- How does the brain solve visual object recognition? (2012, neutral): “…are the least tolerant to changes in position, scale, contrast, and presence of visual clutter (Zoccolan et al., 2007), a finding inconsistent with ‘‘gnostic units’’ or ‘‘grandmother cells’’ (Gross, 2002), but one that arises naturally from feedforward computational models (Zoccolan et al., 2007).”
- Merging chrominance and luminance in early, medium, and late fusion using Convolutional Neural Networks (2015, background): “At the top level of abstraction there are the so-called “grandmother-cells” [Gross, 2002], these cells are specialized on detecting specific shapes, faces, or arbitrary visual objects.”
- Trade-Off between Object Selectivity and Tolerance in Monkey Inferotemporal Cortex (2007, methodology): “Lettvin and Konorski (Gross, 2002), and has been recently invig-”
- The Biology of Forgetting – A Perspective (2017, background): “It seems possible that the brain might simplify each memory engram after initial encoding into ‘‘index’’ engram cells, like the perceptual concept of grandmother cells (Gross, 2002) to streamline the logistics of memory management.”
- Sparse Representation in the Human Medial Temporal Lobe (2006, result): “These results suggest a sparse and invariant encoding in MTL and seem to imply the existence of grandmother cells that respond to only a single category, individual, or object (Konorski, 1967; Barlow, 1972; Gross, 2002) [but see criticisms of this view in the study by Quian Quiroga et al.”
- Grandmother cells and localist representations: a review of current thinking (2017, background): “…a small group of theorists have at least considered grandmother cells as a serious hypothesis that should not be dismissed out of hand (e.g. Barlow, 1972; Bowers, 2002; Elliott & Susswein, 2002; Gross, 2002; Newsome, Britten, & Movshon, 1989; Page, 2000; Perrett et al., 1989; Thorpe, 1989, 1995).”
- Memory engrams: Recalling the past and imagining the future (2020, background): “, a “grandmother cell” (226, 227)]; instead, these findings suggest that the basic unit of computation in the brain is an engram (228, 229).”