Kavli Neuroscience Workshop
Julian and Friedemann very much enjoyed the Kavli Neuroscience extended workshop “Theories of neural computations in the era of large-scale recordings” in Trondheim. Thanks again to all the organizers and participants for a truly stimulatingContinue reading
Hiring: Deep learning-based design of synthetic regulatory elements for cell-type-specific targeting
Understanding the molecular mechanisms that drive cell-type-specific gene expression in the brain is crucial for advancing circuit neuroscience. The wealth of genome-wide information on gene regulation available today puts us in the position to decipherContinue reading
High school students build neuronal circuits
At the annual Tage der Genforschung event, the FMI opens its doors to interested high school students from the neighboring cities. This year team members from our group showed the students how to build simpleContinue reading
Preprint: Theories of synaptic memory consolidation and intelligent plasticity for continual learning
We are happy to present our new preprint:Zenke, F., Laborieux, A., 2024. Theories of synaptic memory consolidation and intelligent plasticity for continual learning. https://arxiv.org/abs/2405.16922 It is a book chapter in the making which covers theContinue reading
Theoretical Neuroscience Podcast
In the 11th episode of the Theoretical Neuroscience Podcast Gaute and Friedemann discuss about end-to-end learning with spiking neurons and self-supervised learning.
Elucidating the theoretical underpinnings of surrogate gradient learning in spiking neural networks
Surrogate gradients (SGs) are empirically successful at training spiking neural networks (SNNs). But why do they work so well, and what is their theoretical basis? In our new preprint led by Julia, we answer theseContinue reading
Hiring: Elucidating the circuit mechanisms for strategic planning using deep reinforcement learning
We are looking for a fearless new lab member to investigate the neuronal circuit mechanisms for strategic planning. Strategic planning is a hallmark of intelligent behavior. Squirrels bury nuts to prepare for winter, crows storeContinue reading
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis
We are happy our new paper “Improving equilibrium propagation (EP) without weight symmetry through Jacobian homeostasis,” led by Axel accepted at ICLR 2024. Preprint: https://arxiv.org/abs/2309.02214Code: https://github.com/Laborieux-Axel/generalized-holo-ep EP prescribes a local learning rule and uses recurrentContinue reading