How does a brain build a cognitive code
By Stephen Grossberg. 1980
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Tyler L. Hayes
- German Ignacio Parisi
- Christopher Kanan
- Stephen Grossberg
- Roger Ratcliff
- Stefan Wermter
- Jonathan Grainger
- James L. McClelland
Citations in the corpus
- Continual Lifelong Learning with Neural Networks: A Review (2018, background): “Grossberg, S. (1980). How does a brain build a cognitive code?.”
- Lifelong Learning of Spatiotemporal Representations With Dual-Memory Recurrent Self-Organization (2018, background): “…for learning novel knowledge and stable for preventing the disruption of consolidated knowledge is known as the stability-plasticity dilemma, which has been extensively studied for both computational and biological systems (e.g., Grossberg, 1980, 2007; Mermillod et al., 2013; Ditzler et al., 2015).”
- A massively parallel architecture for a self-organizing neural pattern recognition machine (1988, background): “This article develops a theory of how recognition codes are self-organized by a class of neural networks whose qualitative features have been used to analyse data about speech perception, word recognition and recall, visual perception, olfactory coding, evoked potentials, thalamocortical interaction”
- Neuron Clustering for Mitigating Catastrophic Forgetting in Supervised and Reinforcement Learning (2015, background): “plasticity dilemma, or essentially: how do the weights within a biological neural network maintain enough stability to be able to store knowledge for a long period of time, while being plastic enough to learn new information? [40] [41] Some experiments have demonstrated catastrophic forgetting in bi”
- Generative learning structures and processes for generalized connectionist networks (1993, background): “[4] Resolution of the stability-plasticity dilemma ( Grossberg, 1980 ), so as to be able to modify internal representations in response to changes in its environment and the tasks to be performed with minimal interference with performance on previously learned tasks.”
- 3-D vision and figure-ground separation by visual cortex (2010, background): “Functional roles for additional cell properties, such as end-stopped simple cells (Grossberg & Mingolla, 1993) and reciprocal tap-down pathways (Grossberg, 1980), have been described , but are not needed to explain the data discussed herein .”
- Connectionist models of recognition memory: constraints imposed by learning and forgetting functions. (1990, background): “…models for several years (e.g., J. A. Anderson, 1972, 1973; J. A. Anderson & Hinton, 1981; J. A. Anderson, Silverstein, Ritz, & Jones, 1977; Grossberg , 1980, 1988; Kohonen, 1978), recent interest has been fueled by the finding that earlier limitations of simple onelayer models, such as…”
- Competitive Learning: From Interactive Activation to Adaptive Resonance (1987, background): “The instability of the competitive learning model thus emphasized the fundamental nature of the stability-plasticity dilemma (Grossberg, 1980, 1982a, 1982b): How can a learning system be designed to remain plastic in response to significant new events, yet also remain stable in response to…”