---
_id: '12531'
abstract:
- lang: eng
  text: "All visual experiences of the vertebrates begin with light being converted
    into electrical signals\r\nby the eye retina. Retinal ganglion cells (RGCs) are
    the neurons of the innermost layer of the\r\nmammal retina, and they transmit
    visual information to the rest of the brain.\r\nIt has been shown that RGCs vary
    in their morphology and genetic profiles, moreover they can\r\nbe unambiguously
    grouped into subtypes that share the same morphological and/or molecular\r\nproperties.
    However, in terms of RGCs function, it remains unclear how many distinct types\r\nthere
    are and what response properties their typology relies on. Even given the recent
    studies\r\nthat successfully classified RGCs in a patch of the retina [1] and
    in scotopic conditions [2], the\r\nquestion remains whether the found subtypes
    persist across the entire retina.\r\nIn this work, using a novel imaging method,
    we show that, when sampled from a large portion\r\nof the retina, RGCs can not
    be clearly divided into functional subtypes. We found that in\r\nphotopic conditions,
    which implies more prominent natural scene statistic differences across\r\nthe
    visual field, response properties can be exhibited by cells differently depending
    on their\r\nlocation in the retina, which leads to formation of a gradient of
    features rather than distinct\r\nclasses.\r\nThis finding suggests that RGCs follow
    a global organization across the visual field of the\r\nanimal, adapting each
    RGC subtype to the requirements imposed by the natural scene statistics."
alternative_title:
- ISTA Master's Thesis
article_processing_charge: No
author:
- first_name: Kseniia
  full_name: Kirillova, Kseniia
  id: 8e3f931e-dc85-11ea-9058-e7b957bf23f0
  last_name: Kirillova
citation:
  ama: Kirillova K. Panoramic functional gradients across the mouse retina. 2023.
    doi:<a href="https://doi.org/10.15479/at:ista:12531">10.15479/at:ista:12531</a>
  apa: Kirillova, K. (2023). <i>Panoramic functional gradients across the mouse retina</i>.
    Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:12531">https://doi.org/10.15479/at:ista:12531</a>
  chicago: Kirillova, Kseniia. “Panoramic Functional Gradients across the Mouse Retina.”
    Institute of Science and Technology Austria, 2023. <a href="https://doi.org/10.15479/at:ista:12531">https://doi.org/10.15479/at:ista:12531</a>.
  ieee: K. Kirillova, “Panoramic functional gradients across the mouse retina,” Institute
    of Science and Technology Austria, 2023.
  ista: Kirillova K. 2023. Panoramic functional gradients across the mouse retina.
    Institute of Science and Technology Austria.
  mla: Kirillova, Kseniia. <i>Panoramic Functional Gradients across the Mouse Retina</i>.
    Institute of Science and Technology Austria, 2023, doi:<a href="https://doi.org/10.15479/at:ista:12531">10.15479/at:ista:12531</a>.
  short: K. Kirillova, Panoramic Functional Gradients across the Mouse Retina, Institute
    of Science and Technology Austria, 2023.
date_created: 2023-02-09T07:45:05Z
date_published: 2023-02-08T00:00:00Z
date_updated: 2024-02-09T23:30:04Z
day: '08'
ddc:
- '570'
degree_awarded: MS
department:
- _id: GradSch
- _id: MaJö
doi: 10.15479/at:ista:12531
file:
- access_level: open_access
  checksum: 57d8da3a6c749eb1556b7435fe266a5f
  content_type: application/pdf
  creator: cchlebak
  date_created: 2023-02-09T08:03:32Z
  date_updated: 2024-02-09T23:30:03Z
  embargo: 2024-02-08
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  file_size: 8369317
  relation: main_file
- access_level: closed
  checksum: 87fb44318e4f9eb9da2ad9ad6ca8e76f
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  creator: cchlebak
  date_created: 2023-02-10T09:32:06Z
  date_updated: 2024-02-09T23:30:03Z
  embargo_to: open_access
  file_id: '12535'
  file_name: Thesis Kseniia - ISTA [istaustriathesis]-FINAL.zip
  file_size: 11204408
  relation: source_file
file_date_updated: 2024-02-09T23:30:03Z
has_accepted_license: '1'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: '46'
publication_identifier:
  issn:
  - 2791-4585
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Maximilian A
  full_name: Jösch, Maximilian A
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
title: Panoramic functional gradients across the mouse retina
tmp:
  image: /images/cc_by_nc_sa.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
    BY-NC-SA 4.0)
  short: CC BY-NC-SA (4.0)
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2023'
...
---
_id: '12716'
abstract:
- lang: eng
  text: "The process of detecting and evaluating sensory information to guide behaviour
    is termed perceptual decision-making (PDM), and is critical for the ability of
    an organism to interact with its external world. Individuals with autism, a neurodevelopmental
    condition primarily characterised by social and communication difficulties, frequently
    exhibit altered sensory processing and PDM difficulties are widely reported. Recent
    technological advancements have pushed forward our understanding of the genetic
    changes accompanying this condition, however our understanding of how these mutations
    affect the function of specific neuronal circuits and bring about the corresponding
    behavioural changes remains limited. Here, we use an innate PDM task, the looming
    avoidance response (LAR) paradigm, to identify a convergent behavioural abnormality
    across three molecularly distinct genetic mouse models of autism (Cul3, Setd5
    and Ptchd1). Although mutant mice can rapidly detect threatening visual stimuli,
    their responses are consistently delayed, requiring longer to initiate an appropriate
    response than their wild-type siblings. Mutant animals show abnormal adaptation
    in both their stimulus- evoked escape responses and exploratory dynamics following
    repeated stimulus presentations. Similarly delayed behavioural responses are observed
    in wild-type animals when faced with more ambiguous threats, suggesting the mutant
    phenotype could arise from a dysfunction in the flexible control of this PDM process.\r\nOur
    knowledge of the core neuronal circuitry mediating the LAR facilitated a detailed
    dissection of the neuronal mechanisms underlying the behavioural impairment. In
    vivo extracellular recording revealed that visual responses were unaffected within
    a key brain region for the rapid processing of visual threats, the superior colliculus
    (SC), indicating that the behavioural delay was unlikely to originate from sensory
    impairments. Delayed behavioural responses were recapitulated in the Setd5 model
    following optogenetic stimulation of the excitatory output neurons of the SC,
    which are known to mediate escape initiation through the activation of cells in
    the underlying dorsal periaqueductal grey (dPAG). In vitro patch-clamp recordings
    of dPAG cells uncovered a stark hypoexcitability phenotype in two out of the three
    genetic models investigated (Setd5 and Ptchd1), that in Setd5, is mediated by
    the misregulation of voltage-gated potassium channels. Overall, our results show
    that the ability to use visual information to drive efficient escape responses
    is impaired in three diverse genetic mouse models of autism and that, in one of
    the models studied, this behavioural delay likely originates from differences
    in the intrinsic excitability of a key subcortical node, the dPAG. Furthermore,
    this work showcases the use of an innate behavioural paradigm to mechanistically
    dissect PDM processes in autism."
acknowledged_ssus:
- _id: PreCl
- _id: Bio
- _id: LifeSc
- _id: M-Shop
- _id: CampIT
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Laura
  full_name: Burnett, Laura
  id: 3B717F68-F248-11E8-B48F-1D18A9856A87
  last_name: Burnett
  orcid: 0000-0002-8937-410X
citation:
  ama: Burnett L. To flee, or not to flee? Using innate defensive behaviours to investigate
    rapid perceptual decision-making through subcortical circuits in mouse models
    of autism. 2023. doi:<a href="https://doi.org/10.15479/at:ista:12716">10.15479/at:ista:12716</a>
  apa: Burnett, L. (2023). <i>To flee, or not to flee? Using innate defensive behaviours
    to investigate rapid perceptual decision-making through subcortical circuits in
    mouse models of autism</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:12716">https://doi.org/10.15479/at:ista:12716</a>
  chicago: Burnett, Laura. “To Flee, or Not to Flee? Using Innate Defensive Behaviours
    to Investigate Rapid Perceptual Decision-Making through Subcortical Circuits in
    Mouse Models of Autism.” Institute of Science and Technology Austria, 2023. <a
    href="https://doi.org/10.15479/at:ista:12716">https://doi.org/10.15479/at:ista:12716</a>.
  ieee: L. Burnett, “To flee, or not to flee? Using innate defensive behaviours to
    investigate rapid perceptual decision-making through subcortical circuits in mouse
    models of autism,” Institute of Science and Technology Austria, 2023.
  ista: Burnett L. 2023. To flee, or not to flee? Using innate defensive behaviours
    to investigate rapid perceptual decision-making through subcortical circuits in
    mouse models of autism. Institute of Science and Technology Austria.
  mla: Burnett, Laura. <i>To Flee, or Not to Flee? Using Innate Defensive Behaviours
    to Investigate Rapid Perceptual Decision-Making through Subcortical Circuits in
    Mouse Models of Autism</i>. Institute of Science and Technology Austria, 2023,
    doi:<a href="https://doi.org/10.15479/at:ista:12716">10.15479/at:ista:12716</a>.
  short: L. Burnett, To Flee, or Not to Flee? Using Innate Defensive Behaviours to
    Investigate Rapid Perceptual Decision-Making through Subcortical Circuits in Mouse
    Models of Autism, Institute of Science and Technology Austria, 2023.
date_created: 2023-03-08T15:19:45Z
date_published: 2023-03-10T00:00:00Z
date_updated: 2023-04-05T10:59:04Z
day: '10'
ddc:
- '599'
- '573'
degree_awarded: PhD
department:
- _id: GradSch
- _id: MaJö
doi: 10.15479/at:ista:12716
ec_funded: 1
file:
- access_level: closed
  checksum: 6c6d9cc2c4cdacb74e6b1047a34d7332
  content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
  creator: lburnett
  date_created: 2023-03-08T15:08:46Z
  date_updated: 2023-03-08T15:08:46Z
  file_id: '12717'
  file_name: Burnett_Thesis_2023.docx
  file_size: 23029260
  relation: source_file
- access_level: open_access
  checksum: cebc77705288bf4382db9b3541483cd0
  content_type: application/pdf
  creator: lburnett
  date_created: 2023-03-08T15:08:46Z
  date_updated: 2023-03-08T15:08:46Z
  file_id: '12718'
  file_name: Burnett_Thesis_2023_pdfA.pdf
  file_size: 11959869
  relation: main_file
  success: 1
file_date_updated: 2023-03-08T15:08:46Z
has_accepted_license: '1'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: '178'
project:
- _id: 2634E9D2-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '756502'
  name: Circuits of Visual Attention
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Maximilian A
  full_name: Jösch, Maximilian A
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
title: To flee, or not to flee? Using innate defensive behaviours to investigate rapid
  perceptual decision-making through subcortical circuits in mouse models of autism
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '12826'
abstract:
- lang: eng
  text: "During navigation, animals can infer the structure of the environment by
    computing the optic flow cues elicited by their own movements, and subsequently
    use this information to instruct proper locomotor actions. These computations
    require a panoramic assessment of the visual environment in order to disambiguate
    similar sensory experiences that may require distinct behavioral responses. The
    estimation of the global motion patterns is therefore essential for successful
    navigation. Yet, our understanding of the algorithms and implementations that
    enable coherent panoramic visual perception remains scarce. Here I pursue this
    problem by dissecting the functional aspects of interneuronal communication in
    the lobula plate tangential cell network in Drosophila melanogaster. The results
    presented in the thesis demonstrate that the basis for effective interpretation
    of the optic flow in this circuit are stereotyped synaptic connections that mediate
    the formation of distinct subnetworks, each extracting a particular pattern of
    global motion. \r\nFirstly, I show that gap junctions are essential for a correct
    interpretation of binocular motion cues by horizontal motion-sensitive cells.
    HS cells form electrical synapses with contralateral H2 neurons that are involved
    in detecting yaw rotation and translation. I developed an FlpStop-mediated mutant
    of a gap junction protein ShakB that disrupts these electrical synapses. While
    the loss of electrical synapses does not affect the tuning of the direction selectivity
    in HS neurons, it severely alters their sensitivity to horizontal motion in the
    contralateral side. These physiological changes result in an inappropriate integration
    of binocular motion cues in walking animals. While wild-type flies form a binocular
    perception of visual motion by non-linear integration of monocular optic flow
    cues, the mutant flies sum the monocular inputs linearly. These results indicate
    that rather than averaging signals in neighboring neurons, gap-junctions operate
    in conjunction with chemical synapses to mediate complex non-linear optic flow
    computations.\r\nSecondly, I show that stochastic manipulation of neuronal activity
    in the lobula plate tangential cell network is a powerful approach to study the
    neuronal implementation of optic flow-based navigation in flies. Tangential neurons
    form multiple subnetworks, each mediating course-stabilizing response to a particular
    global pattern of visual motion. Application of genetic mosaic techniques can
    provide sparse optogenetic activation of HS cells in numerous combinations. These
    distinct combinations of activated neurons drive an array of distinct behavioral
    responses, providing important insights into how visuomotor transformation is
    performed in the lobula plate tangential cell network. This approach can be complemented
    by stochastic silencing of tangential neurons, enabling direct assessment of the
    functional role of individual tangential neurons in the processing of specific
    visual motion patterns.\r\n\tTaken together, the findings presented in this thesis
    suggest that establishing specific activity patterns of tangential cells via stereotyped
    synaptic connectivity is a key to efficient optic flow-based navigation in Drosophila
    melanogaster."
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Victoria
  full_name: Pokusaeva, Victoria
  id: 3184041C-F248-11E8-B48F-1D18A9856A87
  last_name: Pokusaeva
  orcid: 0000-0001-7660-444X
citation:
  ama: Pokusaeva V. Neural control of optic flow-based navigation in Drosophila melanogaster.
    2023. doi:<a href="https://doi.org/10.15479/at:ista:12826">10.15479/at:ista:12826</a>
  apa: Pokusaeva, V. (2023). <i>Neural control of optic flow-based navigation in Drosophila
    melanogaster</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:12826">https://doi.org/10.15479/at:ista:12826</a>
  chicago: Pokusaeva, Victoria. “Neural Control of Optic Flow-Based Navigation in
    Drosophila Melanogaster.” Institute of Science and Technology Austria, 2023. <a
    href="https://doi.org/10.15479/at:ista:12826">https://doi.org/10.15479/at:ista:12826</a>.
  ieee: V. Pokusaeva, “Neural control of optic flow-based navigation in Drosophila
    melanogaster,” Institute of Science and Technology Austria, 2023.
  ista: Pokusaeva V. 2023. Neural control of optic flow-based navigation in Drosophila
    melanogaster. Institute of Science and Technology Austria.
  mla: Pokusaeva, Victoria. <i>Neural Control of Optic Flow-Based Navigation in Drosophila
    Melanogaster</i>. Institute of Science and Technology Austria, 2023, doi:<a href="https://doi.org/10.15479/at:ista:12826">10.15479/at:ista:12826</a>.
  short: V. Pokusaeva, Neural Control of Optic Flow-Based Navigation in Drosophila
    Melanogaster, Institute of Science and Technology Austria, 2023.
date_created: 2023-04-14T14:56:04Z
date_published: 2023-04-18T00:00:00Z
date_updated: 2023-06-23T09:47:36Z
day: '18'
ddc:
- '570'
- '571'
degree_awarded: PhD
department:
- _id: MaJö
- _id: GradSch
doi: 10.15479/at:ista:12826
ec_funded: 1
file:
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  date_created: 2023-04-20T09:14:38Z
  date_updated: 2023-04-20T09:26:51Z
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  file_name: Thesis_Pokusaeva.docx
  file_size: 14507243
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  content_type: application/pdf
  creator: vpokusae
  date_created: 2023-04-20T09:14:44Z
  date_updated: 2023-04-20T09:14:44Z
  file_id: '12858'
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  relation: main_file
  success: 1
file_date_updated: 2023-04-20T09:26:51Z
has_accepted_license: '1'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: '106'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
publication_identifier:
  issn:
  - 2663 - 337X
publication_status: published
publisher: Institute of Science and Technology Austria
status: public
supervisor:
- first_name: Maximilian A
  full_name: Jösch, Maximilian A
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
title: Neural control of optic flow-based navigation in Drosophila melanogaster
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
