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  • Date:27MondayMay 2024

    Towards quantitative biology of developmental abnormalities

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    Time
    13:00 - 14:00
    Location
    Arthur and Rochelle Belfer Building for Biomedical Research
    Botnar Auditorium
    Lecturer
    Prof. Stanislav Shvartsman
    Dept of Molecular Biology Princeton University
    Contact
    DetailsShow full text description of Host: Prof. Benny Shilo ...»
    Host: Prof. Benny Shilo
    AbstractShow full text abstract about Developmental disorders are severely understudied, in spite ...»
    Developmental disorders are severely understudied, in spite of their alarmingly high incidence, with 1 in 6 U.S. children having one or more disabilities or developmental delays. The main challenge is the design of statistically powered studies that can disentangle numerous genetic and environmental factors. We have been working towards addressing this challenge for the developmental abnormalities associated with the germline mutations within the ERK cascade. Focusing on mutations that affect MEK, a kinase that activates ERK, we demonstrated how studies of human mutations in Drosophila can answer the long-standing questions in the field. Specifically, we established how pathogenic mutations affect an isolated MEK protein, demonstrated how they disrupt the normal process of MEK activation in the cell, and quantified their effects on ERK signaling in embryos. More recently, our work shed light on the origins of phenotypic variability in the ERK-associated developmental disorders, demonstrating that they can be of purely stochastic origin. Given the generality of our approach, it should be applicable to other developmental abnormalities associated with genetically deregulated cell signaling.
    Lecture
  • Date:28TuesdayMay 2024

    To be announced

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    Time
    09:15 - 10:15
    Location
    Nella and Leon Benoziyo Building for Biological Sciences
    Cafeteria
    Lecturer
    Eyal Zoler
    Department of Biomolecular Sciences
    Organizer
    Department of Biomolecular Sciences
    Contact
    DetailsShow full text description of Host: Gideon Schreiber...»
    Host: Gideon Schreiber
    Lecture
  • Date:28TuesdayMay 2024

    Student Seminar

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    Time
    12:30 - 13:30
    Location
    Max and Lillian Candiotty Building
    Auditorium
    Organizer
    Department of Immunology and Regenerative Biology
    Contact
    Lecture
  • Date:28TuesdayMay 2024

    Vasosdynamics of cortical arterioles and what it informs us about neuronal activity  

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    Time
    12:30 - 13:15
    Location
    Gerhard M.J. Schmidt Lecture Hall
    Lecturer
    Prof. David Kleinfeld  
    University of California at San Diego
    Organizer
    Department of Brain Sciences
    Contact
    DetailsShow full text description of Host: Dr. Yoav Livneh yoav.livneh@weizmann.ac.il For acce...»
    Host: Dr. Yoav Livneh yoav.livneh@weizmann.ac.il

    For accessibility issues:naomi.moses@weizmann.ac.il
    Lecture
  • Date:28TuesdayMay 2024

    How to Enhance Sex Determination?

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    Time
    14:00 - 15:00
    Location
    Gerhard M.J. Schmidt Lecture Hall
    Lecturer
    Dr. Nitzan Gonen
    The Mina and Everard Goodman Faculty of Life Sciences Institute of Nanotechnology and Advanced Materials, Bar-Ilan University
    Organizer
    Department of Chemical and Structural Biology
    Contact
    Lecture
  • Date:29WednesdayMay 2024

    Phd Defense Seminar- Hagar Fox

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    Time
    09:30
    Title
    Unravelling key genes involved in carbohydrate regulation and dynamics in trees, and the link to tree performance under drought stress
    Location
    Nella and Leon Benoziyo Building for Biological Sciences
    Auditorium
    Lecturer
    Hagar Fox
    Organizer
    Department of Plant and Environmental Sciences
    Contact
    Lecture
  • Date:29WednesdayMay 2024

    Machine Learning and Statistics Seminar

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    Time
    11:15 - 12:15
    Title
    First-Order Methods for Sparse Optimization
    Location
    Jacob Ziskind Building
    Room 1
    Lecturer
    Nadav Hallak
    Technion
    Organizer
    Department of Computer Science and Applied Mathematics
    Seminar
    Contact
    AbstractShow full text abstract about Sparse solutions play a crucial role in various fields due t...»
    Sparse solutions play a crucial role in various fields due to their compact representation, interpretability, robustness, and better generalization. This talk focuses on first-order methods for composite problems with an explicit sparsity expression, and the connection between the optimality conditions they achieve. I will show that the proximal-gradient operation can be implemented efficiently for classes of composite problems in spite of the sparsity element, and will present component-wise methods that achieve better solutions compared to the proximal-gradient. Finally, a conditional gradient based method that balances between the advantages and disadvantages of the proximal-gradient and the component-wise methods will be presented.
    Lecture
  • Date:29WednesdayMay 2024

    Measuring conformational equilibria in allosteric proteins with time-resolved tmFRET

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    Time
    14:00 - 15:00
    Location
    Gerhard M.J. Schmidt Lecture Hall
    Lecturer
    Prof. Sharona Gordon
    Professor of Physiology & Biophysics, University of Washington School of Medicine
    Organizer
    Department of Chemical and Structural Biology
    Contact
    Lecture
  • Date:30ThursdayMay 2024

    Vision and AI

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    Time
    12:15 - 13:15
    Title
    Editing methods for Text-to-Image Models
    Location
    Jacob Ziskind Building
    Room 1
    Lecturer
    Hadas Orgad
    Technion
    Organizer
    Department of Computer Science and Applied Mathematics
    Seminar
    Contact
    AbstractShow full text abstract about Text-to-image generative diffusion models are trained on hug...»
    Text-to-image generative diffusion models are trained on huge amounts of web-scraped image-caption pairs. As a result, these models encode real-world information and correlations, such as the identity of the President of the United States, or the color of the sky. While this knowledge can be useful, and allows easy and efficient generation of beautiful images from simple prompts, it may also be outdated, reflect assumptions and biases (e.g., doctors are always white male), or violate copyrights (as was demonstrated in recent lawsuits for models imitating artistic styles). However, model providers and creators currently have no efficient means to update models without either retraining them---which is costly in computation and time, and might also require data curation---or requiring explicit prompt engineering from the end user. In this talk, we will discuss three of our recent papers, which aim to offer a fast and practical way to control model behavior post-training. We modify a small, targeted part of the model that is responsible for encoding a certain part in the computation process of the deep network. This is done without training, by editing the model weights using a closed-form solution. The different papers target different parts of the model, as well as various types of information encoded in it: implicit assumptions, factual associations, artistic style, social biases, and harmful content. We will also discuss some of the interpretability aspects and insights that can be gained from these editing methods. Overall, the methods presented in the talk offer a fast and practical means for safe deployment of text-to-image models. 
    Lecture
  • Date:02SundayJune 2024

    The Role of Cloud Morphology in Aerosol-Cloud Interactions 

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    Time
    11:00
    Location
    Sussman Family Building for Environmental Sciences
    M. Magaritz Seminar Room
    Lecturer
    Tom Goren
    Bar Ilan University
    Organizer
    Department of Earth and Planetary Sciences
    Contact
    AbstractShow full text abstract about Aerosol-cloud interactions are extensively studied to unders...»
    Aerosol-cloud interactions are extensively studied to understand the climatic effect of anthropogenic aerosols, as the latter can change the radiative properties of clouds. Despite the clear presence of different cloud morphologies (i.e., the spatial variation of cloud thickness), the impact of aerosol-cloud interactions under different cloud morphologies is often overlooked. I will show that accounting for cloud morphology is essential for a better process understanding and for an accurate assessment of the radiative forcing due to aerosol-cloud interactions.
    Lecture
  • Date:03MondayJune 2024

    Arrays of noisy, coupled circadian clocks in a multicellular cyanobacterial organism; experiment and stochastic model

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    Time
    11:00 - 12:15
    Location
    Gerhard M.J. Schmidt Lecture Hall
    Lecturer
    Prof. Joel Stavans
    Department of Physics of Complex Systems Faculty of Physics, WIS
    Organizer
    Department of Chemical and Biological Physics
    Homepage
    Contact
    AbstractShow full text abstract about Circadian clocks in unicellular phototrophic organisms are k...»
    Circadian clocks in unicellular phototrophic organisms are known to display remarkable reliability. In contrast, not much is known about how circadian clocks perform in a multicellular setting. Are clocks in multicellular cyanobacteria coupled and synchronized with one another? Are clocks entrained only by external cues? What is the spatial extent of synchronization? What is the role of cell-cell variations in copy numbers of molecules comprising the core clock (demographic noise) in setting the temporal pattern and its robustness? To tackle quantitatively these and other questions, we studied the dynamics of a circadian clock-controlled gene in Anabaena sp. PCC 7120, a multicellular cyanobacterium in which cells are arranged one after the other and coupled by protein channels, in a one-dimensional structure. Our real-time, single-cell level measurements showed significant synchronization and spatial coherence along filaments, and clock coupling mediated by cell-cell communication. Furthermore, we found significant variability in expression between different cells along filaments. A stochastic one-dimensional toy model of coupled clocks and their phosphorylation states shows that demographic noise can seed stochastic oscillations outside the region where deterministic limit cycles with circadian periods occur. The model reproduces the observed spatio-temporal coherence along filaments and provides a robust description of coupled circadian clocks in a multicellular organism, despite significant stochasticity in biomolecular reactions. Lastly, we carried out experiments in which developmental processes were induced. Our experiments showed that gene expression in different vegetative intervals along a developed filament was discoordinated, and that differentiation took place preferentially within a limited interval of the circadian clock cycle. The transition to multicellularity demanded coordination between clocks via cell-cell communication, to optimize fitness in the presence of significant demographic noise.
    Colloquia
  • Date:04TuesdayJune 2024

    To be announced

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    Time
    10:00 - 11:00
    Location
    Nella and Leon Benoziyo Building for Biological Sciences
    Cafeteria
    Lecturer
    Gabriela Koifman
    Department of Biomolecular Sciences
    Organizer
    Department of Biomolecular Sciences
    Contact
    Lecture
  • Date:04TuesdayJune 2024

    TBA

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    Time
    14:00 - 15:00
    Location
    Gerhard M.J. Schmidt Lecture Hall
    Lecturer
    Dr. Lior Nissim
    The Faculty of Medicine Hebrew University
    Organizer
    Department of Chemical and Structural Biology
    Contact
    Lecture
  • Date:05WednesdayJune 2024

    Memory consolidation and generalization during sleep

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    Time
    10:00 - 11:00
    Location
    Nella and Leon Benoziyo Building for Brain Research
    Lecturer
    Ella Bar-Student Seminar-PhD Thesis Defense
    Prof. Rony Paz Lab & Prof. Yuval Nir, Tel Aviv University
    Organizer
    Department of Brain Sciences
    Contact
    DetailsShow full text description of Student Seminar-PhD Thesis Defense For accessibility issu...»
    Student Seminar-PhD Thesis Defense

    For accessibility issues: naomi.moses@weizmann.ac.il
    AbstractShow full text abstract about During sleep, our memories are reactivated and consolidated ...»
    During sleep, our memories are reactivated and consolidated in an active process that significantly influences our memory and decision-making. In this talk, I will present two studies about sleep-memory consolidation. The first study investigated sleep memory consolidation's local versus global properties within the brain. By exploiting the unique functional neuroanatomy of olfactory system, we were able to manipulate sleep oscillations and enhance memories locally within a single hemisphere during sleep. These findings underscore the local nature of sleep memory consolidation, which can be selectively manipulated within the brain, thereby creating an important link between theories of local sleep and learning. The second research explored the relationship between generalization processes and sleep, acknowledging that overgeneralization of negative stimuli and disruptions in sleep quality contribute to anxiety and PTSD disorders. Specifically, we studied participants' responses to stimuli associated with positive, negative, or neutral outcomes. Our findings revealed significant correlations between brain activity, as detected by fMRI, during the association of a stimulus with an outcome and the perceptual generalization of these stimuli. While activity in limbic brain areas was correlated with immediate negative stimulus generalization, we observed that the activation in these areas predicted recovery and positively related generalization following sleep. Moreover, we identified specific sleep oscillations correlated with this recovery generalization using high-density EEG recordings. These results highlight the crucial role of sleep in both generalization processes and the restoration of balanced responses to stimuli. Understanding these mechanisms can offer valuable insights into developing therapeutic strategies for anxiety and PTSD.
    Lecture
  • Date:05WednesdayJune 202427ThursdayJune 2024

    Machine Learning and Statistics Seminar

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    Time
    11:15 - 12:15
    Title
    Harnessing Literature for Boosting Scientific and Clinical Predictive Models
    Location
    Jacob Ziskind Building
    Room 1
    Lecturer
    Tom Hope
    HUJI
    Organizer
    Department of Computer Science and Applied Mathematics
    Seminar
    Contact
    AbstractShow full text abstract about The explosion of scholarly knowledge presents tremendous opp...»
    The explosion of scholarly knowledge presents tremendous opportunities for accelerating research across the sciences. In this talk, I will present recent work toward helping researchers and clinicians make use of knowledge embedded in the literature. I will focus on methods that use information in the literature for training predictive models and generating scientific hypotheses. This includes models that predict (1) clinical outcomes of hospital patients, (2) new links in biomedical knowledge graphs, and (3) hypotheses in computer science research.

    Bio: Tom Hope is an assistant professor at The Hebrew University of Jerusalem's School of Computer Science and Engineering, and a research scientist at The Allen Institute for AI (AI2). Tom was awarded the Azrieli Early Career Faculty Fellowship which is given to eight scientists across all fields of study. Prior to that he was a postdoctoral researcher at AI2 and the University of Washington (UW). His work has received four best paper awards, appeared in top AI, NLP and HCI venues, and received coverage from Nature and Science. https://www.cs.huji.ac.il/~tomhope/
    Lecture
  • Date:05WednesdayJune 2024

    ESR1 mutations: From Discovery to Clinical Practice

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    Time
    14:00 - 15:00
    Location
    Max and Lillian Candiotty Building
    Auditorium
    Lecturer
    Dr. Rinath Jeselsohn
    Dana Farber Cancer Institute, Harvard Medical School
    Organizer
    Dwek Institute for Cancer Therapy Research
    Contact
    DetailsShow full text description of Meeting URL: https://weizmann.zoom.us/j/5065402023?pwd=a3Z6...»
    Meeting URL: https://weizmann.zoom.us/j/5065402023?pwd=a3Z6KzRCU0xJaUFoM2Y5emZwZm1oZz09

    Lecture
  • Date:06ThursdayJune 2024

    Molecular Neuroscience Trainees day 2024

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    Time
    08:30 - 16:00
    Location
    Dolfi and Lola Ebner Auditorium
    Organizer
    Department of Molecular Neuroscience
    Contact
    Lecture
  • Date:06ThursdayJune 2024

    Vision and AI

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    Time
    12:15 - 13:15
    Title
    LIPVOICER: Generating Speech From Silent Videos Guided By Lip-Reading
    Location
    Jacob Ziskind Building
    Lecture Hall - Room 1
    Lecturer
    Sharon Ganot
    Bar-Ilan University
    Organizer
    Department of Computer Science and Applied Mathematics
    Seminar
    Contact
    AbstractShow full text abstract about Lip-to-speech involves generating a natural-sounding speech ...»
    Lip-to-speech involves generating a natural-sounding speech synchronized with a soundless video of a person talking. Despite recent advances, current methods still cannot produce high-quality speech with high levels of intelligibility for challenging and realistic datasets. This talk presents LipVoicer, a novel method that generates high-quality speech, even for in-the-wild and rich datasets, by incorporating the text modality. Given a silent video, we first predict the spoken text using a pre-trained lip-reading network. We then condition a diffusion model on the video and use the extracted text through a classifier-guidance mechanism where a pre-trained automatic speech recognition (ASR) serves as the classifier. We demonstrate the effectiveness of LipVoicer through human evaluation, which shows that it produces more natural and synchronized speech signals than competing methods (demo page: https://lipvoicer.github.io). The presented LipVoicer is a joint work of Yochai Yemini, Aviv Shamsian, Lior Bracha, Sharon Gannot, and Ethan Fetaya.

    Bio:

    Sharon Gannot obtained his Ph.D. in electrical engineering from Tel-Aviv University, Israel, in 2000. He is a full professor in the Faculty of Engineering at Bar-Ilan University, Israel. He serves as a senior area chair for IEEE Transactions on Audio, Speech, and Language Processing, a member of the senior editorial board of IEEE Signal Processing Magazine, a member of the editorial board of IEEE SPS Education Center, and the chair of the IEEE Signal Processing Society Data Science Initiative. Previously, he was chair of the IEEE Audio and Acoustic Signal Processing Technical Committee in 2017–2018. He has also held other roles, such as the general co-chair of the 2010 International Workshop on Acoustic Signal Enhancement and the 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. He is the general co-chair of Interspeech 2024, which will be held in September in Greece. His research interests include statistical signal processing and machine learning in the audio processing domain. The methods he develops utilize multi-microphone and multi-modal information. Applications include speech enhancement, noise reduction, speaker separation and diarization, dereverberation, speaker localization, and tracking. Sharon Gannot is the recipient of the 2022 European Association for Signal Processing Group Technical Achievement Award and a Fellow of the IEEE.

     

     
    Lecture
  • Date:06ThursdayJune 2024

    Geometric Functional Analysis and Probability Seminar

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    Time
    13:30 - 14:30
    Title
    TBD
    Location
    Jacob Ziskind Building
    Room 155
    Lecturer
    Alon Nishry
    TAU
    Organizer
    Department of Mathematics
    Contact
    AbstractShow full text abstract about TBD ...»
    TBD
    Lecture
  • Date:06ThursdayJune 2024

    Insights from germline and somatic replication repair deficiency on cancer initiation and immunotherapy

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    Time
    14:00 - 15:00
    Location
    Max and Lillian Candiotty Building
    Auditorium
    Lecturer
    Prof. Uri Tabori
    Head, Neuroonconcology program Division of Haematology/Oncology The Hospital for Sick Children Toronto, ON, Canada
    Organizer
    Dwek Institute for Cancer Therapy Research
    Cancer Research Club
    Contact
    DetailsShow full text description of For joining remotely please use Zoom: https://weizmann.zoom....»
    For joining remotely please use Zoom: https://weizmann.zoom.us/j/5065402023?pwd=a3Z6KzRCU0xJaUFoM2Y5emZwZm1oZz09
    Meeting ID: 506 540 2023
    Password: 223081
    Lecture

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