UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Optimization of population decoding with distance metrics.
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Journal Article
  • Authors:
    Hofer SB, Mrsic-Flogel TD, Horvath D, Grothe B, Lesica NA
  • Publication date:
    08/2010
  • Pagination:
    728, 732
  • Journal:
    Neural Netw
  • Volume:
    23
  • Issue:
    6
  • Status:
    Published
  • Country:
    United States
  • PII:
    S0893-6080(10)00090-0
  • Language:
    eng
  • Keywords:
    Action Potentials, Algorithms, Animals, Computer Simulation, Electrophysiology, Gerbillinae, Nerve Net, Neural Networks, Computer, Neurons, Neurophysiology, Signal Processing, Computer-Assisted
Abstract
Recent advances in multi-electrode recording and imaging techniques have made it possible to observe the activity of large populations of neurons. However, to take full advantage of these techniques, new methods for the analysis of population responses must be developed. In this paper, we present an algorithm for optimizing population decoding with distance metrics. To demonstrate the utility of this algorithm under experimental conditions, we evaluate its performance in decoding both population spike trains and calcium signals with different correlation structures. Our results demonstrate that the optimized decoder outperforms other simple population decoders and suggest that optimization could serve as a tool for quantifying the potential contribution of individual cells to the population code.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Author
The Sainsbury Wellcome Centre
Author
The Ear Institute
Author
The Sainsbury Wellcome Centre
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by