2 code implementations • 28 May 2020 • Jakob Jordan, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici
Continuous adaptation allows survival in an ever-changing world.
Neurons and Cognition
no code implementations • 8 Feb 2021 • Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan
We formulate the search for phenomenological models of synaptic plasticity as an optimization problem.
no code implementations • 27 Apr 2021 • Jakob Jordan, João Sacramento, Willem A. M. Wybo, Mihai A. Petrovici, Walter Senn
We propose a novel, Bayesian view on the dynamics of conductance-based neurons and synapses which suggests that they are naturally equipped to optimally perform information integration.
1 code implementation • 9 Sep 2021 • Nicolas Deperrois, Mihai A. Petrovici, Walter Senn, Jakob Jordan
We support this hypothesis by implementing a cortical architecture inspired by generative adversarial networks (GANs).
no code implementations • 23 Sep 2021 • Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel
With growing network size a compute node receives spikes from an increasing number of different source neurons until in the limit each synapse on the compute node has a unique source.
2 code implementations • NeurIPS 2021 • Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici
The response time of physical computational elements is finite, and neurons are no exception.
1 code implementation • NeurIPS 2021 • Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai Petrovici
The response time of physical computational elements is finite, and neurons are no exception.
1 code implementation • 16 Dec 2021 • Jasper Albers, Jari Pronold, Anno Christopher Kurth, Stine Brekke Vennemo, Kaveh Haghighi Mood, Alexander Patronis, Dennis Terhorst, Jakob Jordan, Susanne Kunkel, Tom Tetzlaff, Markus Diesmann, Johanna Senk
Modern computational neuroscience strives to develop complex network models to explain dynamics and function of brains in health and disease.
1 code implementation • 28 Jan 2022 • Camille Gontier, Jakob Jordan, Mihai A. Petrovici
This dataset provides a middle ground between natural images and artificial patterns and can thus be used in a variety of contexts, for example to investigate the sample efficiency of humans and artificial neural networks.
no code implementations • 8 Aug 2022 • Alessandro Colombo, Simon Dold, Patrice Kolb, Nils Bernhardt, Patrick Behrens, Jonathan Correa, Stefan Düsterer, Benjamin Erk, Linos Hecht, Andrea Heilrath, Robert Irsig, Norman Iwe, Jakob Jordan, Björn Kruse, Bruno Langbehn, Bastian Manschwetus, Franklin Martinez, Karl-Heinz Meiwes-Broer, Kevin Oldenburg, Christopher Passow, Christian Peltz, Mario Sauppe, Fabian Seel, Rico Mayro P. Tanyag, Rolf Treusch, Anatoli Ulmer, Saida Walz, Thomas Fennel, Ingo Barke, Thomas Möller, Bernd von Issendorff, Daniela Rupp
The structure and dynamics of isolated nanosamples in free flight can be directly visualized via single-shot coherent diffractive imaging using the intense and short pulses of X-ray free-electron lasers.
no code implementations • 3 Aug 2023 • Nicolas Deperrois, Mihai A. Petrovici, Walter Senn, Jakob Jordan
However, brains are known to generate virtual experiences, such as during imagination and dreaming, that go beyond previously experienced inputs.
no code implementations • 25 Mar 2024 • Benjamin Ellenberger, Paul Haider, Jakob Jordan, Kevin Max, Ismael Jaras, Laura Kriener, Federico Benitez, Mihai A. Petrovici
In particular, GLE exploits the ability of biological neurons to phase-shift their output rate with respect to their membrane potential, which is essential in both directions of information propagation.