Our paper 'Learning not to learn: Nature vs nurture in silico' was accepted for AAAI '22!
In the paper, Rob Lange used meta-learning to study under which conditions non-adaptive heuristics are better than (Bayesian) learning. A preprint is available here.
New preprint out! 'Invariant subspaces maintained by feedback modulation' by Laura and Joram.
You can access the paper here .
Preprint from Filip: Self-organization of a doubly asynchronous irregular network state for spikes and bursts
Check out our new preprint with Richard Naud. The paper can be found here and here is a tweetprint for you.
Owen's paper on learning E/I assemblies is now out in eLife!
The paper is available on eLife’s website or under our list of publications.
Our next preprint is out! Systems memory consolidation by Hebbian plasticity in parallel synaptic pathways
Check our new preprint with Michiel Remme, Urs Bergmann, Denis Alevi, Susanne
Schreiber and Richard Kempter! Hebbian plasticity in parallel synaptic pathways: A circuit mechanism for systems memory consolidation. And here is a tweetprint for you.
Preprint from Joram: Learning interneuron diversity
Check out our new preprint from Joram & Henning showing that Interneuron diversity is required for compartment-specific feedback inhibition
Our modelling contribution to work by Johannes Letzkus' group has been published in Science!
We are very grateful that we could cotribute some theoretical insights to the epxerimental findings by Belén Pardi et al. Read up on how top-down thalamo-cortical inputs are involved in associative memory here.
Workshop on "The making and breaking of E/I balance" taking place on September, 29!
We will be hosting a Satellite Workshop of the BCCN conference “The making and breaking of E/I balance”!
We are very excited about an amazing line-up of speakers. If you are interested, join us on Tuesday, September 29 (registration is still open and free).
Loreen's paper on prediction error circuits accepted by eLife! Congratulations!
The impatient among you can check out the earlier preprint, but you’ll miss some new results!
Laura's paper on presynaptic inhibition appearing in PLoS Computational Biology! Congrats, Laura!
Read up here how presynaptic inhibition helps to stabilize recurrent plastic networks.
Preprint #3 v2 from Owen: Learning E-I assemblies with local rules
We’ve posted a new version of our paper on learning E/I assemblies, now with local plasticity rules! We now show that in our recurrent network, feedback alignment can replace backprop and has a simple neural interpretation. Check it out here
Preprint #3 from Owen: Learning E-I assemblies
Check out our new paper from Owen, Laura & Henning on how to learn excitatory-inhibitory neuronal assemblies in recurrent networks!
Preprint #2 from Loreen: Learning prediction error neurons by balancing excitation and inhibition!
Check out Loreen’s work on how predictions errors can be learned in cortical interneuron circuits!
We are presenting our work at Cosyne 2020!
Check out some of our work at the following posters and workshop:
Joram Keijser will present his work “Interneuron diversity emerges in spiking networks optimized for a compartment-specific excitation-inhibition balance” (poster II-39)
Loreen Hertäg will present her work “Interneuron circuits shape the development of negative prediction-error neurons by balancing excitation and inhibition” (poster II-106)
Henning Sprekeler will talk about “Short term plasticity and ML-designed synapse types” during the Learning to Learn workshop
Laura's first preprint is out!
Check out how presynaptic inhibition can provide stability in recurrent plastic networks.
Three new lab members joining in 2020!
We’re very happy that Felix Lundt, Mark Boon and Yigit Öksuz will join our lab over the course of 2020.
Felix will further strengthen our inhibitory circuits team, and Mark and Yigit our Science of Intelligence efforts,
studying architectural design rules and how mice learn from each other.
Research position (PhD or Postdoc) - Architectural design principles in neural networks
We have an open position (PhD or Postdoc) in the Excellence Cluster “Science of Intelligence”. If you’re interest in using ANNs to study the relation between network architecture and task demands, have a look at our Jobs page!
Open postdoc position in Computational Neuroscience
If you are keen on understanding the functional role of synaptic plasticity and inhibitory circuits, have a look at our Jobs page!
Robert Lange joins the lab as a PhD student. Welcome!
Robert will do his PhD investigating how we can use machine learning tools to learn intelligent collective behaviors, as part of the Einstein Center for Neuroscience and the Cluster of Excellence Science of Intelligence.
Denis Alevi is starting his PhD in the lab!
Denis will be working on a mechanistic theory of systems memory consolidation as part of the collaborative research center SFB1315: Mechanisms and disturbances in memory consolidation: from synapses to systems.
New visiting PhD student: Christopher Currin on spiking Epilepsy!
Chris is doing his PhD in the Raimondo lab in Cape Town, South Africa, where he
is working on Epilepsy. He is visiting the lab for a 3-months stay to develop a
spiking neural network model and fit it to experimental Epilepsy data from the
Raimondo lab. Welcome, Chris!