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1998 1
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Information-theoretic methods for studying population codes.
Ince RA, Senatore R, Arabzadeh E, Montani F, Diamond ME, Panzeri S. Ince RA, et al. Neural Netw. 2010 Aug;23(6):713-27. doi: 10.1016/j.neunet.2010.05.008. Epub 2010 Jun 12. Neural Netw. 2010. PMID: 20542408 Review.
Population coding is the quantitative study of which algorithms or representations are used by the brain to combine together and evaluate the messages carried by different neurons. Here, we review an information-theoretic approach to populati
Population coding is the quantitative study of which algorithms or representations are used by the brain to combine tog
Coverage-adjusted entropy estimation.
Vu VQ, Yu B, Kass RE. Vu VQ, et al. Stat Med. 2007 Sep 20;26(21):4039-60. doi: 10.1002/sim.2942. Stat Med. 2007. PMID: 17567838
Data on 'neural coding' have frequently been analyzed using information-theoretic measures. ...This method begins with the elementary Horvitz-Thompson estimator, developed for sampling from a finite population, and adjusts for the potential new …
Data on 'neural coding' have frequently been analyzed using information-theoretic measures. ...This method begin …
The minimum information principle and its application to neural code analysis.
Globerson A, Stark E, Vaadia E, Tishby N. Globerson A, et al. Proc Natl Acad Sci U S A. 2009 Mar 3;106(9):3490-5. doi: 10.1073/pnas.0806782106. Epub 2009 Feb 13. Proc Natl Acad Sci U S A. 2009. PMID: 19218435 Free PMC article.
Although much progress has been made in information theoretic methodology, there is still no satisfying answer to the question: "What is the information that a given property of the neural population activity (e.g., the responses of single cells within …
Although much progress has been made in information theoretic methodology, there is still no satisfying answer to the question …
An information theoretic approach to EEG-fMRI integration of visually evoked responses.
Ostwald D, Porcaro C, Bagshaw AP. Ostwald D, et al. Neuroimage. 2010 Jan 1;49(1):498-516. doi: 10.1016/j.neuroimage.2009.07.038. Epub 2009 Jul 24. Neuroimage. 2010. PMID: 19632339
Here, we apply a novel route to the integration of simultaneously acquired multimodal brain imaging data. We adopt a theoretical framework developed in the study of neuronal population codes which explicitly takes into account the experimentally observed stim …
Here, we apply a novel route to the integration of simultaneously acquired multimodal brain imaging data. We adopt a theoretical framework d …
Interpreting neuronal population activity by reconstruction: unified framework with application to hippocampal place cells.
Zhang K, Ginzburg I, McNaughton BL, Sejnowski TJ. Zhang K, et al. J Neurophysiol. 1998 Feb;79(2):1017-44. doi: 10.1152/jn.1998.79.2.1017. J Neurophysiol. 1998. PMID: 9463459 Free article.
They include important existing methods as special cases, such as population vector coding, optimal linear estimation, and template matching. ...In general, the theoretical values of the minimal achievable reconstruction errors quantify how accurately a physi …
They include important existing methods as special cases, such as population vector coding, optimal linear estimation, …
Modelling the utility of group testing for public health surveillance.
Koliander G, Pichler G. Koliander G, et al. Infect Dis Model. 2021 Aug 13;6:1009-1024. doi: 10.1016/j.idm.2021.08.002. eCollection 2021. Infect Dis Model. 2021. PMID: 34466761 Free PMC article.
This cost function is versatile, e.g., it could take into account that false negative assignments are worse than false positive assignments and that false assignments in critical areas, such as health care workers, are more severe than in the general population. Based on t …
This cost function is versatile, e.g., it could take into account that false negative assignments are worse than false positive assignments …
An Informational Study of the Evolution of Codes and of Emerging Concepts in Populations of Agents.
Burgos AC, Polani D. Burgos AC, et al. Artif Life. 2016 Spring;22(2):196-210. doi: 10.1162/ARTL_a_00199. Epub 2016 Mar 2. Artif Life. 2016. PMID: 26934096
We consider the problem of the evolution of a code within a structured population of agents. The agents try to maximize their information about their environment by acquiring information from the outputs of other agents in the population. A naive use o …
We consider the problem of the evolution of a code within a structured population of agents. The agents try to maximize their info
Population coding of orientation in the visual cortex of alert cats--an information theoretic analysis.
Kayser C, König P. Kayser C, et al. Neuroreport. 2004 Dec 22;15(18):2761-4. Neuroreport. 2004. PMID: 15597049
We studied the encoding of stimulus orientation in the visual cortex of alert animals using information theory methods. Based on a labeled-line code, the encoding of orientation was mostly synergistic and only few pairs coded redundant. The synergy contribute …
We studied the encoding of stimulus orientation in the visual cortex of alert animals using information theory methods. Based …
Eye Velocity Gain Fields in MSTd During Optokinetic Stimulation.
Brostek L, Büttner U, Mustari MJ, Glasauer S. Brostek L, et al. Cereb Cortex. 2015 Aug;25(8):2181-90. doi: 10.1093/cercor/bhu024. Epub 2014 Feb 20. Cereb Cortex. 2015. PMID: 24557636 Free PMC article.
Here, we investigated neural responses in MSTd during continuous optokinetic stimulation using an information-theoretic approach for characterizing neural tuning with high resolution. ...The observed tuning functions resembled those emerging in a network model train …
Here, we investigated neural responses in MSTd during continuous optokinetic stimulation using an information-theoretic approa …
Quantifying neural coding of event timing.
Soteropoulos DS, Baker SN. Soteropoulos DS, et al. J Neurophysiol. 2009 Jan;101(1):402-17. doi: 10.1152/jn.90767.2008. Epub 2008 Nov 19. J Neurophysiol. 2009. PMID: 19019976 Free PMC article.
This is used to generate a probability distribution of the event occurrence, using Bayes' rule. By an information theoretic approach, this method yields a single value (in bits) that quantifies the reduction in uncertainty regarding the time of an external ev …
This is used to generate a probability distribution of the event occurrence, using Bayes' rule. By an information theoretic ap …
14 results