Feb 27 – Mar 17, 2023: SFB1451 Advanced Course on Data Analysis & ML

PROJECT INFDATA MANAGEMENT FORCOMPUTATIONAL MODELING SFB1451 Advanced Methods Course on Neural Data Analysis & Machine Learning 2023 February 27 – March 17, 2023 The expert team of the INF project offers an Advanced Methods Course on Neural Data Analysis and Machine Learning for PhD students and Postdocs of the SFB1451 Key Mechanisms of Motor Control in Health […]

Sep 12 – 13, 2022: ANN Meeting

September 12 – 13, 2022:6th Meeting of the ANN in Bonn, Germany“Evolution of the arthropod brain – from development to structure” Talk by Martin NawrotTitle: Structural and functional substrate for intraglomerular signaling in the insect antennal lobeDate: Sep 12, 22, 17:30 Poster presentation by Magdalena SpringerTitle: A computational model of olfactory processing in the fly […]

Sep 6 – 8, 2022: Neuromorphic Algorithms Meeting

September 06 – 08, 2022:Neuromorphic Algorithms Meeting in Göttingen, Germany Talk by Martin NawrotTitle: Basic cellular and circuit mechanisms of dynamic sensory processing and plasticity as building blocks for spiking algorithms. Application Deadline: June 30, 2022 The meeting will take place in-person in Volpriehausen nearby Göttingen. Further information here: https://neal2022.tetzlab.com/

Aug 31 – Sep 03, 2022: ECRO Meeting

August 31 – September 03, 2022:ECRO XXXII Annual Meeting Bernstein in Berlin, Germany Poster presentation by Prof. Martin NawrotTitle: Prediction error coding underlying adaptive olfactory behavior in Drosophila melanogaster.Date: Thu, 1 Sep, 15:30 – 17:00, Poster Session No. 1-59,Planck Lobby & Meitner Hall Further information on the ECRO meeting:https://coms.events/ecro2022/index.html

Jul 24 – 29, 2022: ICN Conference

July 24 – 29, 2022:International Congress Neuroethology in Lisbon, Portugal Poster presentation by Cansu AricanTitle: Mushroom body output population activity allows for odor-cued behavioral prediction Poster presentation by Ibrahim TuncTitle: Neuronal noise and heterogeneity increase the dynamic range for encoding electrosensory stimuli Further information: https://neuroethology2020.com