Learning mechanistic models that link cells, circuits, and computations
van Vreeswijk Theoretical Neuroscience Seminar · Tubingen University
Computational NeuroscienceVideo · 45 min
Recordings
Talks · 1
Posters · 14
Adaptive probabilistic regression for real-time motor excitability state prediction from human EEG
Bernstein Conference 2024
Sep 29, 2024
Bridging biophysics and computation with differentiable simulation
Bernstein Conference 2024
Sep 29, 2024
Building mechanistic models of neural computations with simulation-based machine learning
Bernstein Conference 2024
Sep 29, 2024
Connectome and task predict neural activity across the fly visual system
Bernstein Conference 2024
Sep 29, 2024
Deep inverse modeling reveals dynamic-dependent invariances in neural circuits mechanisms
Bernstein Conference 2024
Sep 29, 2024
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Hodgkin Huxley Models
Bernstein Conference 2024
Sep 29, 2024
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Inferring stochastic low-rank recurrent neural networks from neural data
Bernstein Conference 2024
Sep 29, 2024
Integrating activity measurements into connectome-constrained and task-optimized models
Bernstein Conference 2024
Sep 29, 2024
Investigating the role of recurrent connectivity in connectome-constrained and task-optimized models of the fruit fly’s motion pathway
Bernstein Conference 2024
Sep 29, 2024
Knocking out co-active plasticity rules in neural networks reveals synapse type-specific contributions for learning and memory
Bernstein Conference 2024
Sep 29, 2024
Task choice influences single-neuron tuning predictions in connectome-constrained modeling
Bernstein Conference 2024
Sep 29, 2024
Toward a biophysically-detailed, fully-differentiable model of the mouse retina
Bernstein Conference 2024
Sep 29, 2024
Phase remembers: trained RNNs develop phase-locked limit cycles in a working memory task
COSYNE 2023 · University of Tuebingen
Mar 12, 2023