authors:
  -
    firstname: "David J."
    lastname: "Ottenheimer"
    affiliation: "Johns Hopkins University"
    id: "ORCID:0000-0003-4882-1898"
  -
    firstname: "Bilal A."
    lastname: "Bari"
    affiliation: "Johns Hopkins University"
    id: "ORCID:0000-0002-8381-3802"
  -
    firstname: "Elissa"
    lastname: "Sutlief"
    affiliation: "Johns Hopkins University"
    id: "ORCID:0000-0001-5174-9060"
  -
    firstname: "Kurt M."
    lastname: "Fraser"
    affiliation: "Johns Hopkins University"
    id: "ORCID:0000-0002-2988-7683"
  -
    firstname: "Tabitha H."
    lastname: "Kim"
    affiliation: "Johns Hopkins University"
  -
    firstname: "Jocelyn M."
    lastname: "Richard"
    affiliation: "University of Minnesota"
    id: "ORCID:0000-0001-5750-0418"
  -
    firstname: "Jeremiah Y."
    lastname: "Cohen"
    affiliation: "Johns Hopkins University"
  -
    firstname: "Patricia H."
    lastname: "Janak"
    affiliation: "Johns Hopkins University"
    id: "ORCID:0000-0002-3333-9049"

# A title to describe the published resource.
title: "Analysis of a reward prediction error signal in ventral pallidum"

# Additional information about the resource, e.g., a brief abstract.
description: |
  This data and code accompanies our manuscript "A quantitative reward prediction error in ventral pallidum"
  which will be published in Nature Neuroscience and an earlier version
  of which is available on bioRxiv. It contains single unit, extracellular electrophysiological
  data from nucleus accumbens and ventral pallidum in rats performing reward-seeking tasks for
  sucrose, maltodextrin, and water. The analysis here focuses on the outcome-evoked signaling
  and uses an outcome-history based modeling approach to characterize reward prediction error
  signaling in individual neurons.

# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - Neuroscience
  - Electrophysiology
  - Single unit
  - Ventral pallidum
  - Nucleus accumbens
  - Reinforcement learning
  - Modeling
  - Dopamine
  - Basal Ganglia
  - Reward

# License information for this resource. Please provide the license name and/or a link to the license.
# Please add also a corresponding LICENSE file to the repository.
license:
  name: "Creative Commons CC0 1.0 Public Domain Dedication"
  url: "https://creativecommons.org/publicdomain/zero/1.0/"



## Optional Fields

# Funding information for this resource.
# Separate funder name and grant number by comma.
funding:
  - "NIH, 5T32NS91018-17"
  - "NIH, F30MH110084"
  - "NIH, K99AA025384"
  - "NIH, R01DA042038"
  - "NIH, R01NS104834"
  - "NIH, R01DA035943"
  - "NSF, DGE1746891"

# Related publications. reftype might be: IsSupplementTo, IsDescribedBy, IsReferencedBy.
# Please provide digital identifier (e.g., DOI) if possible.
# Add a prefix to the ID, separated by a colon, to indicate the source.
# Supported sources are: DOI, arXiv, PMID
# In the citation field, please provide the full reference, including title, authors, journal etc.
references:
  -
    id: "doi:10.1101/807842"
    reftype: "IsSupplementTo"
    citation: "Ottenheimer, David J., Bilal A. Bari, Elissa Sutlief, Kurt M. Fraser, Tabitha H. Kim, Jocelyn M. Richard, Jeremiah Y. Cohen, and Patricia H. Janak. 'A history-derived reward prediction error signal in ventral pallidum.' bioRxiv (2019): 807842."
  -
    reftype: "IsSupplementTo"
    citation: "Ottenheimer, David J., Bilal A. Bari, Elissa Sutlief, Kurt M. Fraser, Tabitha H. Kim, Jocelyn M. Richard, Jeremiah Y. Cohen, and Patricia H. Janak. 'A history-derived reward prediction error signal in ventral pallidum.' Nature Neuroscience (2020)."


# Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.
resourcetype: Dataset

# Do not edit or remove the following line
templateversion: 1.2