UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Models of Neuronal Stimulus-Response Functions: Elaboration, Estimation, and Evaluation.

Meyer, AF; Williamson, RS; Linden, JF; Sahani, M; (2017) Models of Neuronal Stimulus-Response Functions: Elaboration, Estimation, and Evaluation. Front Syst Neurosci , 10 , Article 109. 10.3389/fnsys.2016.00109. Green open access

[thumbnail of fnsys-10-00109.pdf]
Preview
Text
fnsys-10-00109.pdf - Published Version

Download (3MB) | Preview

Abstract

Rich, dynamic, and dense sensory stimuli are encoded within the nervous system by the time-varying activity of many individual neurons. A fundamental approach to understanding the nature of the encoded representation is to characterize the function that relates the moment-by-moment firing of a neuron to the recent history of a complex sensory input. This review provides a unifying and critical survey of the techniques that have been brought to bear on this effort thus far-ranging from the classical linear receptive field model to modern approaches incorporating normalization and other nonlinearities. We address separately the structure of the models; the criteria and algorithms used to identify the model parameters; and the role of regularizing terms or "priors." In each case we consider benefits or drawbacks of various proposals, providing examples for when these methods work and when they may fail. Emphasis is placed on key concepts rather than mathematical details, so as to make the discussion accessible to readers from outside the field. Finally, we review ways in which the agreement between an assumed model and the neuron's response may be quantified. Re-implemented and unified code for many of the methods are made freely available.

Type: Article
Title: Models of Neuronal Stimulus-Response Functions: Elaboration, Estimation, and Evaluation.
Location: Switzerland
Open access status: An open access version is available from UCL Discovery
DOI: 10.3389/fnsys.2016.00109
Publisher version: https://doi.org/10.3389/fnsys.2016.00109
Language: English
Additional information: © 2017 Meyer, Williamson, Linden and Sahani. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Keywords: Neural coding, receptive field, sensory system
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > The Ear Institute
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Gatsby Computational Neurosci Unit
URI: https://discovery.ucl.ac.uk/id/eprint/1540080
Downloads since deposit
124Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item