Very proud of our new preprint in which we model the impact of retinal and non-retinal inputs on dLGN activity. We find that a subpopulation of poorly visually responsive neurons profits most from accounting of non-retinal inputs in our model. In addition, our model uncovered that CT feedback is most effective in the absence of a patterned visual stimulus, Finally, stimulus information can be better decoded during suppression of CT feedback. We discuss how these findings can be embedded into current views on the role of CT feedback in stimulus processing.
We are very happy to welcome Nancy Mulaiese as a new doctoral researcher to the team. Nancy is joining through the IMPRS-BI program and will work on an exciting project regarding the impact of cortico-thalamic feedback on information processing in visual cortex. We will perform detailed circuit manipulations and recordings from dLGN and V1. We will also collaborate with Tatjana Tchumatchenko on extending V1 network models with the thalamo-cortico-thalamic loop.
We are very excited to see this new review in collaboration with Aman Saleem published (https://www.nature.com/articles/s41583-023-00716-7). It discusses current knowledge on interactions between the spatial and the visual system of the brain, and we hope that it will be a useful summary for the field.
Very proud of this new publication from the lab, driven forward on the LMU side by previous doctoral researcher Simon Renner. Within the SPP2041 Computational Connectomics and in a tight experiment-theory collaboration with Tatjana Tchumatchenko‘s lab, we worked on inferring connectivity of V1 and the thalamic inputs exploiting the stabilized supralinear network.
Kraynyukova, N.*, Renner, S.*, Born, G., Bauer, Y., Spacek, M.A., Tushev, G., Busse, L.**, Tchumatchenko, T.** (2022). In vivo extracellular recordings of thalamic and cortical visual responses reveal V1 connectivity rules. Proc. Natl. Acad. Sci. U.S.A. 119, e2207032119. [*shared first authors, **shared last authors]
A warm welcome to Verena Peterreins who returns to the lab after a successful MSc thesis in Human Biology as a GSN doctoral researcher! Verena will use the next few months to dive deep into our project on “Natural stimuli for mice”. Welcome to the team!
Laura has contributed to a review from Tatjana Tchumatchenko’s lab at the occasion of the 70th birthday of the Hodgkin-Huxley model. We argue that building biologically realistic network models is crucial for establishing causal relationships between neurons, synapses, circuits, and behavior. Check out the full review here: https://doi.org/10.1113/JP282755
We are very happy that Yuyang Huang is joining the lab today as a doctoral researcher. He has a MSc degree from TUM in Applied and Engineering Physics, for which he studied the nonlinear dynamics of coupled oscillators. Yuyang will work in a collaborative project with Simon Jacob’s lab in the context of the ONE MUNICH Strategy Form project on Human Centered Robotics.
Very proud to share a new bioRxiv preprint, where we explore how efficient coding can improve predictions of neural responses to noise stimuli. This work resulted from a fantastic collaboration with Thomas Euler’s lab, as part of the SFB1233 on Robust Vision.
A warm welcome to GSN student Anna Kryshtal who will spend the next few weeks in our group. In her lab rotation, she will contribute to our project on estimating connectivity from extracellular activity.
We welcome Ann H Kotkat and Lukas Meyerolbersleben who joined our lab and the GSN for their doctoral studies. Both Ann and Lukas have done their MSc thesis with us – looking forward very much to continuing working together!