Population coding of stimulus orientation by striate cortical cells
Biological Cybernetics
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Learning to see rotation and dilation with a Hebb rule
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
Neural computation of pattern motion: modeling stages of motion analysis in the primate visual cortex
Probabilistic interpretation of population codes
Neural Computation
Representation and recognition in vision
Representation and recognition in vision
Neuronal tuning: to sharpen or broaden
Neural Computation
Narrow versus wide turning curves: what's best for a population code?
Neural Computation
Nonlinear Dimensionality Reduction
Nonlinear Dimensionality Reduction
Shape representation in parallel systems
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
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Current population coding methods, including weighted averaging and Bayesian estimation, are based on extrinsic representations. These require that neurons be labeled with response parameters, such as tuning curve peaks or noise distributions, which are tied to some external, world-based metric scale. Firing rates alone, without this external labeling, are insufficient to represent a variable. However, the extrinsic approach does not explain how such neural labeling is implemented. A radically different and perhaps more physiological approach is based on intrinsic representations, which have access only to firing rates. Because neurons are unlabeled, intrinsic coding represents relative, rather than absolute, values of a variable. We show that intrinsic coding has representational advantages, including invariance, categorization, and discrimination, and in certain situations it may also recover absolute stimulus values.