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- # 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
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