Population coding of stimulus orientation by striate cortical cells
Biological Cybernetics
Discrimination thresholds for channel-coded systems
Biological Cybernetics
Cortical cells should fire regularly, but do not
Neural Computation
Neural Computation
How precise is neuronal synchronization?
Neural Computation
Statistically efficient estimation using population coding
Neural Computation
Probabilistic interpretation of population codes
Neural Computation
Mutual information, Fisher information, and population coding
Neural Computation
Handwritten Digit Recognition by a Mixture of Local PrincipalComponent Analysis
Neural Processing Letters
Neuronal tuning: to sharpen or broaden
Neural Computation
Narrow versus wide turning curves: what's best for a population code?
Neural Computation
The effect of correlated variability on the accuracy of a population code
Neural Computation
Seeing white: qualia in the context of decoding population codes
Neural Computation
On decoding the responses of a population of neurons from short time windows
Neural Computation
Cosine tuning minimizes motor errors
Neural Computation
Population computation of vectorial transformations
Neural Computation
Population coding and decoding in a neural field: a computational study
Neural Computation
Optimal short-term population coding: when fisher information fails
Neural Computation
Representing Edge Models via Local Principal Component Analysis
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Tangent Fields from Population Coding
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Computing with populations of monotonically tuned neurons
Neural Computation
Handwritten Signature Verification Based on Neural "Gas" Based Vector Quantization
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Attention Modulation of Neural Tuning Through Peak and Base Rate
Neural Computation
Population Coding with Correlation and an Unfaithful Model
Neural Computation
Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex
Neural Computation
Multidimensional Encoding Strategy of Spiking Neurons
Neural Computation
Optimal neuronal tuning for finite stimulus spaces
Neural Computation
A Neural Model of Perceptual-Motor Alignment
Journal of Cognitive Neuroscience
Classified Vector Quantisation and population decoding for pattern recognition
International Journal of Artificial Intelligence and Soft Computing
Combining probabilistic population codes
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Is the homunculus "aware" of sensory adaptation?
Neural Computation
Hi-index | 0.00 |
In perceptual systems, a stimulus parameter can be extracted by determining the center-of-gravity of the response profile of a population of neural sensors. Likewise at the motor end of a neural system, center-of-gravity decoding, also known as vector decoding, generates a movement direction from the neural activation profile. We evaluate these schemes from a statistical perspective, by comparing their statistical variance with the minimum variance possible for an unbiased parameter extraction from the noisy neuronal ensemble activation profile. Center-of-gravity decoding can be statistically optimal. This is the case for regular arrays of sensors with gaussian tuning profiles that have an output described by Poisson statistics, and for arrays of sensors with a sinusoidal tuning profile for the (angular) parameter estimated. However, there are also many cases in which center-of-gravity decoding is highly inefficient. This includes the important case where sensor positions are very irregular. Finally, we study the robustness of center-of-gravity decoding against response nonlinearities at different stages of an information processing hierarchy. We conclude that, in neural systems, instead of representing a parameter explicitly, it is safer to leave the parameter coded implicitly in a neuronal ensemble activation profile.