We’re proud to share that collaborative work together with several groups from Johns Hopkins University and Marlene Bartos’ group in Freiburg has been published in Nature!
You can read all about how “Calcium-permeable AMPA receptors govern PV neuron feature selectivity” here.
We’re very happy to share that Sofia Pereira da Silva and Saif Ahmed have officially started their PhD journey in the lab!
Both of them are funded through the Collaborative Research Centre IN-CODE.
Next week, the Bernstein Conference takes place in Frankfurt! Sofia is presenting a poster (Poster Session IV), and Kris is giving a talk at the PhD Symposium on the theme “Transitions.”
We’re looking forward to FENS in Vienna next week! Loreen will speak in the workshop “Surprise! Cortical prediction errors in learning and behaviour”, and Kristine, Denis and Felix will present posters!
We’re excited to welcome two new members to our lab this month! Kristine Heiney is joining as an Alexander von Humboldt Postdoctoral Research Fellow, and Simone Ciceri is a new PhD student affiliated with the Einstein Center for Neurosciences Berlin.
Joram’s and Henning’s manuscript on the evolution and development of interneurons has been published in Frontiers in Neural Circuits!
You can read it here, or have a look at the visual summary on Twitter.
Several of us will be attending Cosyne, this week in Montreal! Denis, Joram and Laura will present posters. Laura will also present in the Workshop on top-down
interactions. Loreen will present in the workshop on diverse inhibition.
Collaboration with Letzkus lab published in Neuron
March 1, 2023
Our collaboration led by the lab of Johannes Letzkus is published in Neuron.
In the paper, Anna Schroeder and collegues analyze the role of inhibitory top-down projections in memory formation.
New preprint on the evolution & development of interneurons
February 28, 2023
In a new preprint, we compare the evolution and development of inhibitory interneurons with functional predictions.
You can find a visual summary on Twitter.
SCIoI Collaboration 'Fish shoals resemble a stochastic excitable system driven by environmental perturbations' Published in Nature Physics!
February 7, 2023
Our SCIoI collaboration with the lab of Pawel Romanzcuk was published in Nature Physics.
In the paper Luis Gomez-Nava and his co-authors analyze the collective diving behavior of fish shoals in Mexico.
They find that real-life fish operate close to a phase transition (‘critical point’).
Afterwards, they combine Machine Learning techniques and in-silico simulation to analyze the function of this system behavior.
They demonstrate that it facilitates optimal information propagation in the face of environment perturbations such as predator attacks.
'Discovering Evolution Strategies via Meta-Black-Box Optimization' Accepted at ICLR 2023!
February 1, 2023
Rob Lange’s DeepMind internship paper has been accepted at ICLR 2023. In the paper he proposes to meta-learn attention-based evolution strategies.
The resulting ‘Learned Evolution Strategy’ outperforms baselines on challenging neuroevolution tasks.
Furthermore, it can be meta-trained in a self-referential fashion and reverse engineered into an analytical Evolution Strategy.
Checkout the preprint and the OpenReview discussion.
