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The effect of neural adaptation on population coding accuracy

Jesus M. Cortes, Daniele Marinazzo, Peggy Series, Mike W. Oram, Terry J. Sejnowski, Mark C. W. van Rossum
2011 Journal of Computational Neuroscience  
We find that the net effect of adaptation is subtle and heterogeneous. Depending on adaptation mechanism and test stimulus, adaptation can either increase or decrease coding accuracy.  ...  Typically a reduction of firing rate would reduce single neuron accuracy as less spikes are available for decoding, but it has been suggested that on the population level, adaptation increases coding accuracy  ...  Effect of adaptation on coding accuracy Next we combined the effects of adaptation on tuning curves and correlations to calculate population coding accuracy as measured by the Fisher Information, see Section  ... 
doi:10.1007/s10827-011-0358-4 pmid:21915690 pmcid:PMC3367001 fatcat:5i3rt32dxzdmrlf72zu4j2p4u4

Neural population coding of sound level adapts to stimulus statistics

Isabel Dean, Nicol S Harper, David McAlpine
2005 Nature Neuroscience  
We demonstrate that these adjustments improve the accuracy of the neural population code close to the region of most commonly occurring sound levels.  ...  How auditory neurons code sound level over such a range is unclear; firing rates of individual neurons increase with sound level over only a very limited portion of the full range of hearing.  ...  Ashmore for critical reading of the manuscript. This work was supported by the Royal National Institute for Deaf People and the Medical Research Council (UK).  ... 
doi:10.1038/nn1541 pmid:16286934 fatcat:ijdflj4jurdkzc6zguyq4w6yo4

Population adaptation in efficient balanced networks

Gabrielle J Gutierrez, Sophie Denève
2019 eLife  
Adaptation is a key component of efficient coding in sensory neurons.  ...  Our approach underscores the common mechanisms behind the diversity of neural adaptation and its role in producing a reliable representation of the stimulus while minimizing metabolic cost.  ...  What we expect to see is a generalization of the effect illustrated in Figure 4b ,c to larger neural populations.  ... 
doi:10.7554/elife.46926 pmid:31550233 pmcid:PMC6759354 fatcat:viilq2yhxvhotbitg6l5xwn7gy

Improved Genetic Algorithm to Optimize the Wi-Fi Indoor Positioning Based on Artificial Neural Network

Xuerong Cui, Jin Yang, Juan Li, Chunlei Wu
2020 IEEE Access  
In order to make more effective use of Wi-Fi fingerprint data to position an object, an improved adaptive genetic algorithm (IAGA) is proposed to optimize the BP (Back Propagation) neural network, namely  ...  On the one hand, the proposed algorithm improves the selection operator in the adaptive genetic algorithm on the basis of preserving the optimal strategy.  ...  However, the indoor accuracy of GPS drops severely due to signal fading and the multipath effect [1] , [2] .  ... 
doi:10.1109/access.2020.2988322 fatcat:5hyqkpcb3restcvot5b534zmee

Rate, not selectivity, determines neuronal population coding accuracy in auditory cortex

Wensheng Sun, Dennis L. Barbour, Christopher Pack
2017 PLoS Biology  
on an angular distance metric; TMPEUC, template matching based on a Euclidean distance metric. number of effective stimuli across the neural population.  ...  Black curve shows the mean accuracy across the neural population; gray curves show 1 standard deviation above and below the mean (N = 171 neurons).  ...  Acknowledgments We thank Kim Kocher for assistance with animal experiments and Jonathan Fritz for helpful comments on an early version of this manuscript. Visualization: Wensheng Sun.  ... 
doi:10.1371/journal.pbio.2002459 pmid:29091725 pmcid:PMC5683657 fatcat:q5ym357g65gphck3vsndhmv45m

The effect of neural adaptation of population coding accuracy [article]

J.M. Cortes and D. Marinazzo and P. Series and M.W. Oram and T.J. Sejnowski and M.C.W. van Rossum
2011 arXiv   pre-print
We find that the net effect of adaptation is subtle and heterogeneous. Depending on adaptation mechanism and test stimulus, adaptation can either increase or decrease coding accuracy.  ...  Typically a reduction of firing rate would reduce single neuron accuracy as less spikes are available for decoding, but it has been suggested that on the population level, adaptation increases coding accuracy  ...  Effect of adaptation on coding accuracy Next we combined the effects of adaptation on tuning curves and correlations to calculate population coding accuracy as measured by the Fisher Information, see Methods  ... 
arXiv:1103.2605v1 fatcat:gvsu6ebsqjhkxdof7uei5ej75q

Attentional dynamics of efficient codes [article]

Wiktor F Mlynarski, Gasper Tkacik
2021 bioRxiv   pre-print
According to this view, sensory neurons are driven not only by stimuli but also by feedback signals from higher brain areas that adapt the sensory code to the goals of the organism and its belief about  ...  Here we formalize this view by optimizing a model of population coding in the visual cortex for maximally accurate perceptual inference at minimal activity cost.  ...  W.M. was funded by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 754411.  ... 
doi:10.1101/2021.03.29.437459 fatcat:rehfkzr3lrb7rk7sx7g2a2p3je

Contrast and luminance adaptation alter neuronal coding and perception of stimulus orientation

Masoud Ghodrati, Elizabeth Zavitz, Marcello G. P. Rosa, Nicholas S. C. Price
2019 Nature Communications  
coding.  ...  Using information theoretic analysis and population decoding approaches, we find that orientation discriminability is luminance and contrast dependent, changing over time due to firing rate adaptation.  ...  Acknowledgements We thank Richard Born and Nathan Crowder for their comments on the manuscript.  ... 
doi:10.1038/s41467-019-08894-8 pmid:30808863 pmcid:PMC6391449 fatcat:fwa5use6qjhqjpqupmiplusioe

Reading positional codes with fMRI: Problems and solutions

Kristjan Kalm, Dennis Norris, Floris P de Lange
2017 PLoS ONE  
Neural mechanisms which bind items into sequences have been investigated in a large body of research in animal neurophysiology and human neuroimaging.  ...  In this paper we use computational simulations and data from two fMRI experiments to show that a host of unrelated neural processes can masquerade as sequence representations.  ...  The extensive literature on the neural representation of the positional code is summarised in Table 1 .  ... 
doi:10.1371/journal.pone.0176585 pmid:28520725 pmcid:PMC5435169 fatcat:q2hy37mw4bhznb4wl6j4czdat4

Reading positional codes with fMRI: Problems and solutions [article]

Kristjan Kalm, Dennis Norris
2016 biorxiv/medrxiv   pre-print
In this paper we show that the problem of extracting neural data about the structure of a sequence is especially acute for fMRI, which is almost exclusively the modality used in human experiments.  ...  Neural mechanisms which bind items into sequences have been investigated in a large body of research in animal neurophysiology and human neuroimaging.  ...  The extensive literature on the neural representation of the positional code is summarised in Table 1 .  ... 
doi:10.1101/076554 fatcat:lzej2vyxcvhh7j33nofke34nr4

Adaptive Neural Network Structure Optimization Algorithm Based on Dynamic Nodes

Miao Wang, Xu Yang, Yunchong Qian, Yunlin Lei, Jian Cai, Ziyi Huan, Xialv Lin, Hao Dong
2022 Current Issues in Molecular Biology  
Then, the network uses a pruning algorithm based on Hebb's rule or Pearson's correlation for adaptation in the pruning step. In addition" we combine genetic algorithm to optimize DNS(GA-DNS).  ...  Large-scale artificial neural networks have many redundant structures, making the network fall into the issue of local optimization and extended training time.  ...  Inspired by the in-generation constructing process of biological neural networks, we presented an adaptive neural network algorithm based on dynamic nodes.  ... 
doi:10.3390/cimb44020056 pmid:35723341 pmcid:PMC8929060 fatcat:rff6k47l4rdr5b3v6jz7kpi3ba

Research on investment portfolio model based on neural network and genetic algorithm in big data era

Wei Zhou, Yuanjun Zhao, Weiwei Chen, Yanghui Liu, Rongjun Yang, Zheng Liu
2020 EURASIP Journal on Wireless Communications and Networking  
the effectiveness of neural network and genetic algorithm.  ...  The purpose of this paper is to improve the accuracy of stock market investment prediction, we build neural network model and genetic algorithm model, study the law of stock market operation, and improve  ...  Through the 'fitness value' index, the adaptability of chromosomes in the population can be effectively evaluated, and then whether to select them to enter the next stage can be judged [10] .  ... 
doi:10.1186/s13638-020-01850-x fatcat:aw2mbjxqq5dr7p7tr7lkvymhu4

Page 2849 of The Journal of Neuroscience Vol. 21, Issue 8 [page]

2001 The Journal of Neuroscience  
Abbott LF, Dayan P (1999) The effect of correlated variability on the accuracy of a population code. Neural Comput 11:91-101.  ...  Rasnow B (1996) The effects of simple objects on the electric field of Apteronotus. J Comp Physiol [A] 178:397—411.  ... 

Application and Research of Elman Neural Network Model Optimized Input by Improved Immune Genetic Algorithm in MBR Membrane Flux Prediction

Chunqing Li, Fan Xu
2018 DEStech Transactions on Engineering and Technology Research  
algorithm on the prediction accuracy and stability of MBR membrane flux. 1  ...  At the same time, we compares the optimization effect of this algorithm with the optimization effect of traditional genetic algorithm.  ...  ACKNOWLEDGMENT This research was supported by the National Natural Science Foundation of Ch ina(51378350) and the National Natural Science Foundation of China(50808130).  ... 
doi:10.12783/dtetr/iccere2017/18320 fatcat:sfr5vlnxhza47guxhssbznmvri

ImmuNetNAS: An Immune-network approach for searching Convolutional Neural Network Architectures [article]

Kefan Chen, Wei Pang
2020 arXiv   pre-print
The core of ImmuNetNAS is built on the original immune network algorithm, which iteratively updates the population through hypermutation and selection, and eliminates the self-generation individuals that  ...  Finally, based on the proposed two-component based coding method, a new antibody affinity calculation method was developed to screen suitable neural architectures.  ...  Thus, according to the effect of different bits change on the whole model structure, we firstly compare the similarity of the last K bits of the two structural codes.  ... 
arXiv:2002.12704v1 fatcat:onc6qfh275antfa6vubsgkzi6m
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