GLOBAL RESEARCH SYNDICATE
No Result
View All Result
  • Login
  • Latest News
  • Consumer Research
  • Survey Research
  • Marketing Research
  • Industry Research
  • Data Collection
  • More
    • Data Analysis
    • Market Insights
  • Latest News
  • Consumer Research
  • Survey Research
  • Marketing Research
  • Industry Research
  • Data Collection
  • More
    • Data Analysis
    • Market Insights
No Result
View All Result
globalresearchsyndicate
No Result
View All Result
Home Data Analysis

Frontal cortex neuron types categorically encode single decision variables

globalresearchsyndicate by globalresearchsyndicate
December 4, 2019
in Data Analysis
0
Frontal cortex neuron types categorically encode single decision variables
0
SHARES
9
VIEWS
Share on FacebookShare on Twitter

  • 1.

    Hubel, D. H. & Wiesel, T. N. Receptive fields of single neurones in the cat’s striate cortex. J. Physiol. 148, 574–591 (1959).

  • 2.

    Bruce, C., Desimone, R. & Gross, C. G. Visual properties of neurons in a polysensory area in superior temporal sulcus of the macaque. J. Neurophysiol. 46, 369–384 (1981).

  • 3.

    O’Keefe, J. & Dostrovsky, J. The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat. Brain Res. 34, 171–175 (1971).

  • 4.

    Abe, H. & Lee, D. Distributed coding of actual and hypothetical outcomes in the orbital and dorsolateral prefrontal cortex. Neuron 70, 731–741 (2011).

  • 5.

    Feierstein, C. E., Quirk, M. C., Uchida, N., Sosulski, D. L. & Mainen, Z. F. Representation of spatial goals in rat orbitofrontal cortex. Neuron 51, 495–507 (2006).

  • 6.

    Roesch, M. R., Taylor, A. R. & Schoenbaum, G. Encoding of time-discounted rewards in orbitofrontal cortex is independent of value representation. Neuron 51, 509–520 (2006).

  • 7.

    Kennerley, S. W. & Wallis, J. D. Evaluating choices by single neurons in the frontal lobe: outcome value encoded across multiple decision variables. Eur. J. Neurosci. 29, 2061–2073 (2009).

  • 8.

    Kepecs, A., Uchida, N., Zariwala, H. A. & Mainen, Z. F. Neural correlates, computation and behavioural impact of decision confidence. Nature 455, 227–231 (2008).

  • 9.

    Machens, C. K., Romo, R. & Brody, C. D. Functional, but not anatomical, separation of “what” and “when” in prefrontal cortex. J. Neurosci. 30, 350–360 (2010).

  • 10.

    McGinty, V. B., Rangel, A. & Newsome, W. T. Orbitofrontal cortex value signals depend on fixation location during free viewing. Neuron 90, 1299–1311 (2016).

  • 11.

    Morrison, S. E. & Salzman, C. D. The convergence of information about rewarding and aversive stimuli in single neurons. J. Neurosci. 29, 11471–11483 (2009).

  • 12.

    Padoa-Schioppa, C. Neuronal origins of choice variability in economic decisions. Neuron 80, 1322–1336 (2013).

  • 13.

    Padoa-Schioppa, C. & Assad, J. A. Neurons in the orbitofrontal cortex encode economic value. Nature 441, 223–226 (2006).

  • 14.

    Rigotti, M. et al. The importance of mixed selectivity in complex cognitive tasks. Nature 497, 585–590 (2013).

  • 15.

    Mante, V., Sussillo, D., Shenoy, K. V. & Newsome, W. T. Context-dependent computation by recurrent dynamics in prefrontal cortex. Nature 503, 78–84 (2013).

  • 16.

    Stalnaker, T. A., Cooch, N. K. & Schoenbaum, G. What the orbitofrontal cortex does not do. Nat. Neurosci. 18, 620–627 (2015).

  • 17.

    Steiner, A. P. & Redish, A. D. Behavioral and neurophysiological correlates of regret in rat decision-making on a neuroeconomic task. Nat. Neurosci. 17, 995–1002 (2014).

  • 18.

    Sul, J. H., Kim, H., Huh, N., Lee, D. & Jung, M. W. Distinct roles of rodent orbitofrontal and medial prefrontal cortex in decision making. Neuron 66, 449–460 (2010).

  • 19.

    Xie, J. & Padoa-Schioppa, C. Neuronal remapping and circuit persistence in economic decisions. Nat. Neurosci. 19, 855–861 (2016).

  • 20.

    Zariwala, H. A., Kepecs, A., Uchida, N., Hirokawa, J. & Mainen, Z. F. The limits of deliberation in a perceptual decision task. Neuron 78, 339–351 (2013).

  • 21.

    Hangya, B., Sanders, J. I. & Kepecs, A. A Mathematical framework for statistical decision confidence. Neural Comput. 28, 1840–1858 (2016).

  • 22.

    Raposo, D., Kaufman, M. T. & Churchland, A. K. A category-free neural population supports evolving demands during decision-making. Nat. Neurosci. 17, 1784–1792 (2014).

  • 23.

    Cuesta-Albertos, J. A., Cuevas, A. & Fraiman, R. On projection-based tests for directional and compositional data. Stat. Comput. 19, 367–380 (2009).

  • 24.

    Sanders, J. I., Hangya, B. & Kepecs, A. Signatures of a statistical computation in the human sense of confidence. Neuron 90, 499–506 (2016).

  • 25.

    Morris, L. S. et al. Fronto-striatal organization: Defining functional and microstructural substrates of behavioural flexibility. Cortex 74, 118–133 (2016).

  • 26.

    Burguière, E., Monteiro, P., Feng, G. & Graybiel, A. M. Optogenetic stimulation of lateral orbitofronto-striatal pathway suppresses compulsive behaviors. Science 340, 1243–1246 (2013).

  • 27.

    Economo, M. N. et al. Distinct descending motor cortex pathways and their roles in movement. Nature 563, 79–84 (2018).

  • 28.

    Kvitsiani, D. et al. Distinct behavioural and network correlates of two interneuron types in prefrontal cortex. Nature 498, 363–366 (2013).

  • 29.

    Namboodiri, V. M. et al. Single-cell activity tracking reveals that orbitofrontal neurons acquire and maintain a long-term memory to guide behavioral adaptation. Nature Neurosci. 22, 1110–1121 (2019).

  • 30.

    Olshausen, B. A. & Field, D. J. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381, 607–609 (1996).

  • 31.

    Sanders, J. I. & Kepecs, A. A low-cost programmable pulse generator for physiology and behavior. Front. Neuroeng. 7, 43 (2014).

  • 32.

    Gradinaru, V. et al. Molecular and cellular approaches for diversifying and extending optogenetics. Cell 141, 154–165 (2010).

  • 33.

    Li, S. J., Vaughan, A., Sturgill, J. F. & Kepecs, A. A viral receptor complementation strategy to overcome CAV-2 tropism for efficient retrograde targeting of neurons. Neuron 98, 905–917.e5 (2018).

  • 34.

    Soudais, C., Laplace-Builhe, C., Kissa, K. & Kremer, E. J. Preferential transduction of neurons by canine adenovirus vectors and their efficient retrograde transport in vivo. FASEB J. 15, 2283–2285 (2001).

  • 35.

    Tervo, D. G. R. et al. A designer AAV variant permits efficient retrograde access to projection neurons. Neuron 92, 372–382 (2016).

  • 36.

    Schmitzer-Torbert, N., Jackson, J., Henze, D., Harris, K. & Redish, A. D. Quantitative measures of cluster quality for use in extracellular recordings. Neuroscience 131, 1–11 (2005).

  • 37.

    Von Luxburg, U. A tutorial on spectral clustering. Stat. Comput. 17, 395–416 (2007).

  • 38.

    Shi, J. & Malik, J. Normalized cuts and image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 22, 888–905 (2000).

  • 39.

    Comon, P. Independent component analysis, A new concept? Signal Process. 36, 287–314 (1994).

  • 40.

    Kobak, D. et al. Demixed principal component analysis of neural population data. eLife 5, e10989 (2016).

  • Related Posts

    How Machine Learning has impacted Consumer Behaviour and Analysis
    Consumer Research

    How Machine Learning has impacted Consumer Behaviour and Analysis

    January 4, 2024
    Market Research The Ultimate Weapon for Business Success
    Consumer Research

    Market Research: The Ultimate Weapon for Business Success

    June 22, 2023
    Unveiling the Hidden Power of Market Research A Game Changer
    Consumer Research

    Unveiling the Hidden Power of Market Research: A Game Changer

    June 2, 2023
    7 Secrets of Market Research Gurus That Will Blow Your Mind
    Consumer Research

    7 Secrets of Market Research Gurus That Will Blow Your Mind

    May 8, 2023
    The Shocking Truth About Market Research Revealed!
    Consumer Research

    The Shocking Truth About Market Research: Revealed!

    April 25, 2023
    market research, primary research, secondary research, market research trends, market research news,
    Consumer Research

    Quantitative vs. Qualitative Research. How to choose the Right Research Method for Your Business Needs

    March 14, 2023
    Next Post
    High-Speed Data Rate Satellite Modems Market Research, Recent Trends and Growth Forecast 2025

    High-Speed Data Rate Satellite Modems Market Research, Recent Trends and Growth Forecast 2025

    Categories

    • Consumer Research
    • Data Analysis
    • Data Collection
    • Industry Research
    • Latest News
    • Market Insights
    • Marketing Research
    • Survey Research
    • Uncategorized

    Recent Posts

    • Ipsos Revolutionizes the Global Market Research Landscape
    • How Machine Learning has impacted Consumer Behaviour and Analysis
    • Market Research: The Ultimate Weapon for Business Success
    • Privacy Policy
    • Terms of Use
    • Antispam
    • DMCA

    Copyright © 2024 Globalresearchsyndicate.com

    Welcome Back!

    Login to your account below

    Forgotten Password?

    Retrieve your password

    Please enter your username or email address to reset your password.

    Log In
    This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Cookie settingsACCEPT
    Privacy & Cookies Policy

    Privacy Overview

    This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
    Necessary
    Always Enabled
    Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
    Non-necessary
    Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
    SAVE & ACCEPT
    No Result
    View All Result
    • Latest News
    • Consumer Research
    • Survey Research
    • Marketing Research
    • Industry Research
    • Data Collection
    • More
      • Data Analysis
      • Market Insights

    Copyright © 2024 Globalresearchsyndicate.com