서브메뉴
검색
On Representing Disparity in Visual Cortex Populations in Mouse
On Representing Disparity in Visual Cortex Populations in Mouse
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260311091531.5
- ISBN
- 9798270231422
- DDC
- 519.5
- 서명/저자
- On Representing Disparity in Visual Cortex Populations in Mouse / Mandi C Severson
- 발행사항
- [Sl] : The University of Texas at Austin, 2025
- 형태사항
- 1 electronic resource (90 pages)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-06, Section: B.
- 주기사항
- Advisors: Priebe, Nicholas J. Committee members: Pierce, Jonathan T.; Glickfeld, Lindsey L.; Hayhoe, Mary M.; Geisler, Wilson S., III.
- 학위논문주기
- - Ph.D. : The University of Texas at Austin, 2025.
- 초록/해제
- 요약The function of inhibition in disparity selectivity is not well understood. Disparity selectivity to correlated and anticorrelated random dot stereograms (RDS) in two of the major classes of inhibitory neurons, parvalbumin-expressing (PV) and somatostatin-expressing (SST), has not previously been characterized. We addressed the functional roles of different cortical circuit elements by first characterizing disparity selectivity in excitatory, PV, and SST neurons. We find that PV cell disparity tuning is broader than excitatory and SST cells, and it is highly correlated with the tuning of the summation of the activity of surrounding cells. In contrast, the disparity tuning of SST cells is not well predicted by surrounding activity. Additionally, we find that PV and SST cells also respond to anticorrelated RDS with an inversion in tuning, but the inversion is weak. Next we investigated the function of these inhibitory populations by optogenetic suppression of PV or SST cells. We hypothesized that if PV and SST cells are selectively suppressing responses to false matches in excitatory cells in anticorrelated RDS, optogenetic suppression of these populations would result in an increase in magnitude for disparity tuning to anticorrelated RDS. This is not what we found. We found that in response to correlated stimuli, tuning strength declines during suppression of both PV and SST cells, suggesting that they both play a role in enhancing selectivity to correlated RDS. In response to anticorrelated stimuli, PV suppression shows a slight decrease in tuning strength while SST suppression shows a slight increase in tuning strength, suggesting that SST cells may be involved in suppressing false matches. However, the effects in response to correlated RDS were much stronger than that of the anticorrelated RDS results, suggesting that both PV and SST cells are contributing to disparity tuning more by sharpening disparity selectivity for correlated stimuli. Lastly, we wanted to investigate disparity representation in a population-level analysis. We examined whether we could reliably represent disparity for correlated RDS and ignore false matches in anticorrelated RDS in excitatory populations using a Bayesian decoder. We find that the Bayesian decoder can reliably represent disparity for correlated RDS but does not reliably decode disparity in response to anticorrelated RDS.
- 언어주기
- English
- 일반주제명
- Physiology
- 일반주제명
- Statistics
- 일반주제명
- Neurosciences
- 키워드
- SST cells
- 키워드
- Bayesian decoder
- 기타저자
- The University of Texas at Austin Neuroscience
- 기본자료저록
- Dissertations Abstracts International. 87-06B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008260311s2025 us eng d■001000017361192
■00520260311091531.5
■006m o d
■007cr|nu||||||||
■020 ▼a9798270231422
■040 ▼aMiAaPQD▼beng▼cMiAaPQD▼erda
■082 ▼a519.5
■1001 ▼aSeverson, Mandi C.▼eauthor.
■24510▼aOn Representing Disparity in Visual Cortex Populations in Mouse ▼cMandi C Severson
■260 ▼a[Sl]▼bThe University of Texas at Austin▼c2025
■264 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a1 electronic resource (90 pages)
■336 ▼atext▼btxt▼2rdacontent
■337 ▼acomputer▼bc▼2rdamedia
■338 ▼aonline resource▼bcr▼2rdacarrier
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-06, Section: B.
■500 ▼aAdvisors: Priebe, Nicholas J. Committee members: Pierce, Jonathan T.; Glickfeld, Lindsey L.; Hayhoe, Mary M.; Geisler, Wilson S., III.
■5021 ▼bPh.D.▼cThe University of Texas at Austin▼d2025.
■520 ▼aThe function of inhibition in disparity selectivity is not well understood. Disparity selectivity to correlated and anticorrelated random dot stereograms (RDS) in two of the major classes of inhibitory neurons, parvalbumin-expressing (PV) and somatostatin-expressing (SST), has not previously been characterized. We addressed the functional roles of different cortical circuit elements by first characterizing disparity selectivity in excitatory, PV, and SST neurons. We find that PV cell disparity tuning is broader than excitatory and SST cells, and it is highly correlated with the tuning of the summation of the activity of surrounding cells. In contrast, the disparity tuning of SST cells is not well predicted by surrounding activity. Additionally, we find that PV and SST cells also respond to anticorrelated RDS with an inversion in tuning, but the inversion is weak. Next we investigated the function of these inhibitory populations by optogenetic suppression of PV or SST cells. We hypothesized that if PV and SST cells are selectively suppressing responses to false matches in excitatory cells in anticorrelated RDS, optogenetic suppression of these populations would result in an increase in magnitude for disparity tuning to anticorrelated RDS. This is not what we found. We found that in response to correlated stimuli, tuning strength declines during suppression of both PV and SST cells, suggesting that they both play a role in enhancing selectivity to correlated RDS. In response to anticorrelated stimuli, PV suppression shows a slight decrease in tuning strength while SST suppression shows a slight increase in tuning strength, suggesting that SST cells may be involved in suppressing false matches. However, the effects in response to correlated RDS were much stronger than that of the anticorrelated RDS results, suggesting that both PV and SST cells are contributing to disparity tuning more by sharpening disparity selectivity for correlated stimuli. Lastly, we wanted to investigate disparity representation in a population-level analysis. We examined whether we could reliably represent disparity for correlated RDS and ignore false matches in anticorrelated RDS in excitatory populations using a Bayesian decoder. We find that the Bayesian decoder can reliably represent disparity for correlated RDS but does not reliably decode disparity in response to anticorrelated RDS.
■546 ▼aEnglish
■590 ▼aSchool code: 0227
■650 4▼aPhysiology
■650 4▼aStatistics
■650 4▼aNeurosciences
■653 ▼aRandom dot stereograms
■653 ▼aParvalbumin-expressing
■653 ▼aSST cells
■653 ▼aBayesian decoder
■7102 ▼aThe University of Texas at Austin▼bNeuroscience.▼edegree granting institution.
■7201 ▼aPriebe, Nicholas J.▼edegree supervisor.
■7730 ▼tDissertations Abstracts International▼g87-06B.
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17361192▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
