ICS, CNE, HCR Doctoral Seminar on "Statistical methods for mechanistic models in neuroscience"
ICS, CNE, HCR Doctoral Seminar on "Statistical methods for mechanistic models in neuroscience" by Jan-Matthis Lueckmann, Computational Neuroengineering group (CNE), TUM
Abstract: Everything we experience, perceive, and remember is encoded in the spiking activity of populations of neurons in the brain. A fundamental question in neuroscience is what sources and structure of variability in neural activity and behaviour are. This question can be targeted through computational models, making it necessary to identify which models are consistent with physiological or behavioural data, i.e., solve inference problems. However, for most computational models inference is highly challenging, demanding simplifying model assumptions or searching for single best-fitting estimates only. In this talk, I will present two novel statistical inference methods for mechanistic models and show their usefulness neuroscience.
The talk will be preceded by a pitch presentation of one sophomore student of the Neuroengineering Master Program (MSNE): Lukas Stoffl – “Short-Term Plasticity on SpiNNaker”
Date: 23 January 2019, 16:30, ICS Karlstraße 45, 6. Floor, room 6009