ObjSim/datacite.yml

# Metadata for DOI registration according to DataCite Metadata Schema 4.1.
# For detailed schema description see https://doi.org/10.5438/0014

## Required fields

# The main researchers involved. Include digital identifier (e.g., ORCID)
# if possible, including the prefix to indicate its type.
authors:
  -
    firstname: "Frank"
    lastname: "Michler"
    affiliation: "Philipps-Universität Marburg"
  -
    firstname: "Sebastian Thomas"
    lastname: "Philipp"

# A title to describe the published resource.
title: "ObjSim"

# Additional information about the resource, e.g., a brief abstract.
description: |
  C++ library for simulating spiking neural networks.

# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - Neuroscience
  - Spiking Neural Networks
  - Topographic Maps
  - Object Recognition

# 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: "X11 License"
  url: "https://spdx.org/licenses/X11.html"



## Optional Fields

# Funding information for this resource.
# Separate funder name and grant number by comma.
funding:
  - "DFG, EC 53/11"
  - "DFG, DFG.5471310"


# 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
references:
  -
    id: "doi:10.1152/jn.90651.2008"
    reftype: "IsSupplementTo"
    name: "Michler F, Eckhorn R, Wachtler T (2009): Using Spatiotemporal Correlations to Learn Topographic Maps for Invariant Object Recognition. J Neurophysiol 
102:953-64."
  -
    id: "doi:10.1007/11829898_3"
    reftype: "IsSupplementTo"
    name: "Michler F, Wachtler T, Eckhorn R (2006): Adaptive Feedback Inhibition Improves Pattern Discrimination Learning. Lecture Notes in Artificial Intelligence 
4087:21-32."

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