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  • 1
    Publication Date: 2008-07-25
    Description: Statistical dependencies in the responses of sensory neurons govern both the amount of stimulus information conveyed and the means by which downstream neurons can extract it. Although a variety of measurements indicate the existence of such dependencies, their origin and importance for neural coding are poorly understood. Here we analyse the functional significance of correlated firing in a complete population of macaque parasol retinal ganglion cells using a model of multi-neuron spike responses. The model, with parameters fit directly to physiological data, simultaneously captures both the stimulus dependence and detailed spatio-temporal correlations in population responses, and provides two insights into the structure of the neural code. First, neural encoding at the population level is less noisy than one would expect from the variability of individual neurons: spike times are more precise, and can be predicted more accurately when the spiking of neighbouring neurons is taken into account. Second, correlations provide additional sensory information: optimal, model-based decoding that exploits the response correlation structure extracts 20% more information about the visual scene than decoding under the assumption of independence, and preserves 40% more visual information than optimal linear decoding. This model-based approach reveals the role of correlated activity in the retinal coding of visual stimuli, and provides a general framework for understanding the importance of correlated activity in populations of neurons.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2684455/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2684455/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Pillow, Jonathan W -- Shlens, Jonathon -- Paninski, Liam -- Sher, Alexander -- Litke, Alan M -- Chichilnisky, E J -- Simoncelli, Eero P -- EY018003/EY/NEI NIH HHS/ -- R01 EY018003/EY/NEI NIH HHS/ -- R01 EY018003-01/EY/NEI NIH HHS/ -- R01 EY018003-02/EY/NEI NIH HHS/ -- R01 EY018003-03/EY/NEI NIH HHS/ -- England -- Nature. 2008 Aug 21;454(7207):995-9. doi: 10.1038/nature07140. Epub 2008 Jul 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Gatsby Computational Neuroscience Unit, UCL, 17 Queen Square, London WC1N 3AR, UK. pillow@gatsby.ucl.ac.uk〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18650810" target="_blank"〉PubMed〈/a〉
    Keywords: Action Potentials ; Animals ; Macaca mulatta/*physiology ; *Models, Neurological ; Photic Stimulation ; Retinal Ganglion Cells/*physiology ; Time Factors ; Vision, Ocular/*physiology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2015-07-15
    Description: Neurons in the macaque lateral intraparietal (LIP) area exhibit firing rates that appear to ramp upward or downward during decision-making. These ramps are commonly assumed to reflect the gradual accumulation of evidence toward a decision threshold. However, the ramping in trial-averaged responses could instead arise from instantaneous jumps at different times on different trials. We examined single-trial responses in LIP using statistical methods for fitting and comparing latent dynamical spike-train models. We compared models with latent spike rates governed by either continuous diffusion-to-bound dynamics or discrete "stepping" dynamics. Roughly three-quarters of the choice-selective neurons we recorded were better described by the stepping model. Moreover, the inferred steps carried more information about the animal's choice than spike counts.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Latimer, Kenneth W -- Yates, Jacob L -- Meister, Miriam L R -- Huk, Alexander C -- Pillow, Jonathan W -- EY017366/EY/NEI NIH HHS/ -- MH099611/MH/NIMH NIH HHS/ -- T32DA018926/DA/NIDA NIH HHS/ -- T32EY021462/EY/NEI NIH HHS/ -- New York, N.Y. -- Science. 2015 Jul 10;349(6244):184-7. doi: 10.1126/science.aaa4056.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Perceptual Systems, The University of Texas at Austin, Austin, TX 78712, USA. Institute for Neuroscience, The University of Texas at Austin, Austin, TX 78712, USA. ; Institute for Neuroscience, The University of Texas at Austin, Austin, TX 78712, USA. Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA. ; Center for Perceptual Systems, The University of Texas at Austin, Austin, TX 78712, USA. Institute for Neuroscience, The University of Texas at Austin, Austin, TX 78712, USA. Department of Neuroscience, The University of Texas at Austin, Austin, TX 78712, USA. Department of Psychology, The University of Texas at Austin, Austin, TX 78712, USA. ; Center for Perceptual Systems, The University of Texas at Austin, Austin, TX 78712, USA. Institute for Neuroscience, The University of Texas at Austin, Austin, TX 78712, USA. Department of Psychology, The University of Texas at Austin, Austin, TX 78712, USA. Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ 08544, USA. pillow@princeton.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26160947" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Choice Behavior/*physiology ; Decision Making/*physiology ; Macaca ; Male ; Models, Neurological ; Neurons/physiology ; Parietal Lobe/*physiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2016-03-26
    Description: Shadlen et al's Comment focuses on extrapolations of our results that were not implied or asserted in our Report. They discuss alternate analyses of average firing rates in other tasks, the relationship between neural activity and behavior, and possible extensions of the standard models we examined. Although interesting to contemplate, these points are not germane to the findings of our Report: that stepping dynamics provided a better statistical description of lateral intraparietal area spike trains than diffusion-to-bound dynamics for a majority of neurons.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Latimer, Kenneth W -- Yates, Jacob L -- Meister, Miriam L R -- Huk, Alexander C -- Pillow, Jonathan W -- New York, N.Y. -- Science. 2016 Mar 25;351(6280):1406. doi: 10.1126/science.aad3596.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Perceptual Systems, The University of Texas at Austin, Austin, TX 78712, USA. Institute for Neuroscience, The University of Texas at Austin, Austin, TX 78712, USA. Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA. ; Center for Perceptual Systems, The University of Texas at Austin, Austin, TX 78712, USA. Institute for Neuroscience, The University of Texas at Austin, Austin, TX 78712, USA. ; Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA. ; Center for Perceptual Systems, The University of Texas at Austin, Austin, TX 78712, USA. Institute for Neuroscience, The University of Texas at Austin, Austin, TX 78712, USA. Department of Neuroscience, The University of Texas at Austin, Austin, TX 78712, USA. Department of Psychology, The University of Texas at Austin, Austin, TX 78712, USA. ; Center for Perceptual Systems, The University of Texas at Austin, Austin, TX 78712, USA. Institute for Neuroscience, The University of Texas at Austin, Austin, TX 78712, USA. Department of Psychology, The University of Texas at Austin, Austin, TX 78712, USA. Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ 08544, USA. pillow@princeton.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27013724" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Choice Behavior/*physiology ; Decision Making/*physiology ; Male ; Parietal Lobe/*physiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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