# 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: "Michael"
    lastname: "Happ"
    affiliation: "MIT"
    id: "ORCID:0000-0001-6345-2272"

# A title to describe the published resource.
title: "A Predictive Circuit for Novelty Detection in Songbird Auditory Cortex"

# Additional information about the resource, e.g., a brief abstract.
description: |
  In order to make sense of complicated sensory landscapes, the brain privileges 
  the processing of novel stimuli. Detecting novelty is therefore a fundamental 
  problem for the brain to solve. And it turns out to be complicated, as stimuli 
  can be completely novel, or just novel relative to certain certain contexts or 
  expectations. To better understand how the brain detects both types of novelty, 
  we studied an auditory region of the avian brain that performs both absolute 
  and relative novelty detection. We introduce a predictive model, called the 
  Agnotron, that is capable of performing both kinds of novelty detection with 
  the same circuit mechanism. Armed with predictions made by the Agnotron, we 
  perform experiments to confirm the existence of Agnotron- like circuitry in 
  the brain. While we fail to find evidence that the various novelty signals 
  in this brain area are produced by the same mechanism, we do find support 
  for predictive circuitry for some novelty signals. We continue with an 
  advanced investigation of one absolute novelty signal in particular, known 
  as the Song-Specific Adaptation. After recapitulating classical results with 
  state-of-the-art technology, we report novel phenomena that rule out predictive 
  circuit mechanisms for the SSA. Taken together, our results suggest that 
  predictive mechanisms can explain some novelty signals in the avian brain, but 
  not the SSA, which seems to have a more simplistic feed-forward mechanism of 
  generation.

# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - Neuroscience
  - Novelty
  - Prediction
  - Songbird
  - Audition
  - Error

# 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/"

references:
 -
    id: doi:tba
    reftype: "IsSupplementTo"
    citation: Happ, Michael Liu (March 1, 2023). A predictive circuit for novelty detection in Songbird Auditory Cortex. Massachusetts Institute of Technology, Cambridge, MA, USA.

# 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