Neural computation and language modelsPublicationsEarly motion processing circuit uses gap junctions to achieve efficient stimuli encodingSiwei Wang, Noga Zaslavsky, Alexander Borst, Naftali Tishby, Idan Segev2017 COSYNEPDF CiteEfficient encoding of motion is mediated by gap junctions in the fly visual systemSiwei Wang, Alexander Borst, Noga Zaslavsky, Naftali Tishby, Idan Segev2017 PLoS Comput BiolPDF Cite DOICloze Distillation: Improving Neural Language Models with Human Next-Word PredictionTiwalayo Eisape, Noga Zaslavsky, Roger Levy2020 CoNLLPDF Cite DOIProbing artificial neural networks: insights from neuroscienceAnna A. Ivanova, John Hewitt, Noga Zaslavsky2021 ICLR Brain2AI WorkshopPDF ICLR WorkshopIs it that simple? Linear mapping models in cognitive neuroscienceAnna A. Ivanova, Martin Schrimpf, Stefano Anzellotti, Noga Zaslavsky, Evelina Fedorenko, Leyla Isik2021 bioRxivPDF Cite DOIBeyond linear regression: mapping models in cognitive neuroscience should align with research goalsAnna A. Ivanova, Martin Schrimpf, Stefano Anzellotti, Noga Zaslavsky, Evelina Fedorenko, Leyla Isik2022 NBDTPDF Cite DOIAlignment of ANN Language Models with Humans After a Developmentally Realistic Amount of TrainingEghbal Hosseini, Martin Schrimpf, Yian Zhang, Samuel Bowman, Noga Zaslavsky, Evelina Fedorenko2023 COSYNEPDFTeasing apart the representational spaces of ANN language models to discover key axes of model-to-brain alignmentEghbal Hosseini, Noga Zaslavsky, Colton Casto, Evelina Fedorenko2023 CCNPDF
