# Population Coding and Decoding in a Neural Field: A Computational Study

@article{Wu2002PopulationCA, title={Population Coding and Decoding in a Neural Field: A Computational Study}, author={Si Wu and Shun‐ichi Amari and Hiroyuki Nakahara}, journal={Neural Computation}, year={2002}, volume={14}, pages={999-1026} }

This study uses a neural field model to investigate computational aspects of population coding and decoding when the stimulus is a single variable. A general prototype model for the encoding process is proposed, in which neural responses are correlated, with strength specified by a gaussian function of their difference in preferred stimuli. Based on the model, we study the effect of correlation on the Fisher information, compare the performances of three decoding methods that differ in the…

## 136 Citations

### Implications of Neuronal Diversity on Population Coding

- Computer Science, BiologyNeural Computation
- 2006

It is shown that information capacity of a heterogeneous network is not limited by the correlated noise, but scales linearly with the number of cells in the population, and an optimal linear readout that takes into account the neuronal heterogeneity can extract most of this information.

### Population Coding with Motion Energy Filters: The Impact of Correlations

- Computer ScienceNeural Computation
- 2008

It is shown that for all sets of images, correlations convey a large fraction of the information: 40% to 90% of the total information, and ignoring those correlations when decoding leads to considerable information loss from 50% to 93%, depending on the image type.

### On the condition for fast neural computation

- Computer ScienceProceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference
- 2009

Noise has the ‘best’ effect of accelerating computation, in the sense that the strength of external inputs is linearly encoded by the number of neurons firing in a short-time window, and that the neural system can use a simple strategy to decode the input rapidly and accurately.

### Attention modulation of neural tuning through peak and base rate in correlated firing

- PsychologyNeural Networks
- 2002

### Unconscious Biases in Neural Populations Coding Multiple Stimuli

- BiologyNeural Computation
- 2018

A novel general framework based on gaussian processes is developed that allows an accurate calculation of the estimate distributions of maximum likelihood decoders, and reveals that the distribution of estimates is bimodal for overlapping stimuli.

### Information processing in a neuron ensemble with the multiplicative correlation structure

- Computer ScienceNeural Networks
- 2004

### Sequential Bayesian Decoding with a Population of Neurons

- Computer ScienceNeural Computation
- 2003

This study investigates the performance and implementation of a sequential Bayesian decoding paradigm in the framework of population coding, obtaining the optimal form of prior knowledge that achieves the best estimation result, and investigates its possible biological realization, in the sense that all operations are performed by the dynamics of a recurrent network.

### Transmission of Population-Coded Information

- Computer ScienceNeural Computation
- 2012

The results explain how optimal communication of population codes requires the center-surround architectures found in the nervous system and provide explicit predictions on the connectivity parameters.

### Accuracy of rate coding: When shorter time window and higher spontaneous activity help.

- Computer SciencePhysical review. E
- 2017

An analysis based on the number of observed spikes assuming the stochastic perfect integrate-and-fire model with a change point, representing the stimulus onset, shows that the Fisher information is nonmonotonic with respect to the length of the observation period, and observes that the signal can be enhanced by noise.

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