· van Vreeswijk Theoretical Neuroscience Seminar · Talk
Learning mechanistic models that link cells, circuits, and computations
Tubingen University
Computational Neuroscience · Video · 45 min
Jakob Macke
Neuroscience researcher, Tubingen University
Also listed as Jakob H. Macke
2 talks · 24 posters
Recordings
Earlier talks · 1
Posters · 24
Mar 27, 2025 · COSYNE 2025 · Poster
Deep inverse modeling reveals dynamic-dependent invariances in neural circuit mechanisms
Mar 27, 2025 · COSYNE 2025 · Poster
Inferring stochastic low-rank recurrent neural networks from neural data
Mar 27, 2025 · COSYNE 2025 · Poster
Latent diffusion for neural spiking data for generating realistic neural time series
Mar 27, 2025 · COSYNE 2025 · Poster
Recurrent connectivity supports motion detection in connectome-constrained models of fly vision
Sep 29, 2024 · Bernstein Conference 2024 · Poster
Adaptive probabilistic regression for real-time motor excitability state prediction from human EEG
Sep 29, 2024 · Bernstein Conference 2024 · Poster
Bridging biophysics and computation with differentiable simulation
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Sep 29, 2024 · Bernstein Conference 2024 · Poster
Building mechanistic models of neural computations with simulation-based machine learning
Sep 29, 2024 · Bernstein Conference 2024 · Poster
Connectome and task predict neural activity across the fly visual system
Sep 29, 2024 · Bernstein Conference 2024 · Poster
Deep inverse modeling reveals dynamic-dependent invariances in neural circuits mechanisms
Sep 29, 2024 · Bernstein Conference 2024 · Poster
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Hodgkin Huxley Models
Sep 29, 2024 · Bernstein Conference 2024 · Poster
Inferring stochastic low-rank recurrent neural networks from neural data
Sep 29, 2024 · Bernstein Conference 2024 · Poster
Integrating activity measurements into connectome-constrained and task-optimized models
Sep 29, 2024 · Bernstein Conference 2024 · Poster
Investigating the role of recurrent connectivity in connectome-constrained and task-optimized models of the fruit fly’s motion pathway
Sep 29, 2024 · Bernstein Conference 2024 · Poster
Knocking out co-active plasticity rules in neural networks reveals synapse type-specific contributions for learning and memory
Sep 29, 2024 · Bernstein Conference 2024 · Poster
Latent Diffusion for Neural Spiking Data
Sep 29, 2024 · Bernstein Conference 2024 · Poster
Task choice influences single-neuron tuning predictions in connectome-constrained modeling
Sep 29, 2024 · Bernstein Conference 2024 · Poster
Toward a biophysically-detailed, fully-differentiable model of the mouse retina
Jun 25, 2024 · FENS Forum 2024 · Poster
Memories by a thousand rules: Meta-learning plasticity rules for memory formation and recall in large spiking networks
Jun 25, 2024 · FENS Forum 2024 · Poster
Gradual changes in TMS-induced motor excitability are associated with excitation-inhibition balance dynamics
Jun 25, 2024 · FENS Forum 2024 · Poster
Library of Dynamics: Linking parameters and behaviour of spiking neural networks
Mar 12, 2023 · COSYNE 2023 · Poster
Automated identification of data-consistent spiking neural network models
University of Tuebingen
Mar 12, 2023 · COSYNE 2023 · Poster
Phase remembers: trained RNNs develop phase-locked limit cycles in a working memory task
University of Tuebingen
Mar 18, 2022 · COSYNE 2022 · Poster
Adversarial learning of plasticity rules
Mar 18, 2022 · COSYNE 2022 · Poster