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X-WR-CALNAME:Ashoka University
X-ORIGINAL-URL:https://www.ashoka.edu.in
X-WR-CALDESC:Events for Ashoka University
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TZID:Asia/Kolkata
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TZOFFSETFROM:+0530
TZOFFSETTO:+0530
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DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20240305T100000
DTEND;TZID=Asia/Kolkata:20240305T170000
DTSTAMP:20240228T011649Z
CREATED:20240228T011649Z
LAST-MODIFIED:20240228T011649Z
UID:56066-1709632800-1709658000@www.ashoka.edu.in
SUMMARY:Acumen Interviews
DESCRIPTION:
URL:https://www.ashoka.edu.in/event/acumen-interviews/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20240305T100000
DTEND;TZID=Asia/Kolkata:20240305T170000
DTSTAMP:20240228T012205Z
CREATED:20240228T012205Z
LAST-MODIFIED:20240228T012205Z
UID:56068-1709632800-1709658000@www.ashoka.edu.in
SUMMARY:Acumen Interviews
DESCRIPTION:
URL:https://www.ashoka.edu.in/event/acumen-interviews/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20240305T113000
DTEND;TZID=Asia/Kolkata:20240305T123000
DTSTAMP:20240301T033719Z
CREATED:20240301T033719Z
LAST-MODIFIED:20240301T033719Z
UID:56132-1709638200-1709641800@www.ashoka.edu.in
SUMMARY:Quantitative cognition in Zebrafish (Danio rerio)
DESCRIPTION:Abstract:\nQuantitative cognition enables organisms to compare different quantities or magnitudes of available choices to make decisions in various ecologically relevant tasks like foraging\, predator evasion\, and social and sexual aggregations. The low resolution of human brain imaging has limited our understanding of human quantitative cognition and thus animal model systems are required to unravel the neural circuitry behind quantitative cognition. Zebrafish\, a model system in which whole brain imaging with single neuron resolution\, is an apt model to study quantitative discrimination tasks and the underlying neural pathways. The first project in my thesis looks at the ability of zebrafish to learn to associate visual symbols with the quantity of food reward they receive\, where the visual symbols bear numerosity and predict food reward quantity. I take this work forward by looking at the intersection between quantitative cognition and object recognition\, based on object motion and form characteristics. The next project is looking at the ability of zebrafish larvae to discriminate between two groups of social conspecifics using a social preference test. I am implementing biological motion (BM) stimuli\, which stems from the phenomenon of recognizing animate objects based on their motion characteristics. BM stimuli is used to present the stimuli in quantitative cognition tasks in these projects. Subsequent parts of my thesis employs BM stimuli of prey and predators to investigate the quantitative discrimination abilities of zebrafish larvae in the context of hunting behavior and anti-predatory strategies respectively. Establishing these quantitative cognition paradigms in zebrafish larvae pave the way for understanding the neural circuitry behind them using calcium imaging in awake larvae while they perform these tasks. \nAbout Speaker: \nNawaf is presently pursuing his PhD in the Neuroethology lab under the guidance of Dr. Bittu in the Department of Biology\, Ashoka University. His primary research interests are fish behavior and cognition with an interest in decision making and collective behavior. He completed his integrated BS-MS degree from Indian Institute of Science Education and Research Thiruvananthapuram\, where he worked on context dependency of grouping behavior in zebrafish in Dr Ullasa Kodandaramaiah’s lab. He is interested in understanding quantitative cognition in zebrafish as a part of his PhD project where he is currently working on behavioral experiments looking at quantitative discrimination tasks in zebrafish in the aspects of social aggregation\, predation and anti-predatory strategies  
URL:https://www.ashoka.edu.in/event/quantitative-cognition-in-zebrafish-danio-rerio/
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20240305T151500
DTEND;TZID=Asia/Kolkata:20240305T161500
DTSTAMP:20240228T053438Z
CREATED:20240228T011112Z
LAST-MODIFIED:20240228T053438Z
UID:56064-1709651700-1709655300@www.ashoka.edu.in
SUMMARY:On Jacobi matrices
DESCRIPTION:Abstract: \nJacobi matrices are infinite tridiagonal symmetric matrices\, which naturally act on the Hilbert space of square summable sequences. They form an important class of operators as every self-adjoint operator is a direct sum of Jacobi matrices. In the talk I will review their appearance and applications in orthogonal polynomials theory\, random walks\, birth and death processes\, and if time permits\, in the classical moment problem. \nAbout the speaker: \nGrzegorz completed his Ph.D. in Mathematics at University of Wroclaw\, Poland\, in 2017. After graduating\, Grzegorz worked for 1 year as a Research Assistant at University of Wroclaw\, and after that for 1 year as an Assistant Professor in Polish Academy of Sciences. In 2019 he started a 3 years postdoctoral position in the research group of classical analysis at KU Leuven\, Belgium. Currently\, he works as an Assistant Professor in the Polish Academy of Sciences. \nHis research is focused on the theory of orthogonal polynomials and its applications.
URL:https://www.ashoka.edu.in/event/on-jacobi-matrices/
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