The effects of early visual experience on the cat's visual cortex and their possible explanation by Hebb synapses.
By Josef P. Rauschecker, Wolf Singer. 1981
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Andrea Soltoggio
- Sebastian Risi
- Kenneth O. Stanley
- Jean-Baptiste Mouret
- Jeff Clune
- Joel Lehman
- Yoshua Bengio
- Paul Tonelli
Citations in the corpus
- Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “responsible not only for fine tuning, but also for building a working visual system in the cat’s visual cortex (Rauschecker and Singer, 1981).”
- Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex (1982, background): “This question, still a subject of controversy (see Pettigrew, 1978), must be settled experimentally.”
- Blind separation of sources, Part I" An adaptive algorithm based on neuromimetic architecture (2002, background): “Relations (24) and (25) are very close to mathematic formalizations [6] of rules for synaptic plasticity proposed as by Hebb [7] or Rauschecker and Singer [15].”
- From modulated Hebbian plasticity to simple behavior learning through noise and weight saturation (2012, background): “, 1997), corroborating detailed rate-based (Grossberg, 1976; Rauschecker and Singer, 1981; Oja, 1982; Bienenstock et al., 1982; Gerstner and Kistler, 2002a) and spiking neural models (van Rossum et al.”