Publikationen: AG Prof. Simon Rumpel

Originalarbeiten

Krummeich J, Nardi L, Caliendo C, Aschauer D, Engelhardt V, Arlt A, Maier J, Bicker F, Kwiatkowski MD, Rolski K, Vincze K, Schneider R, Rumpel S, Gerber S, Schmeisser MJ, Schweiger S (2024) Premature cognitive decline in a mouse model of tuberous sclerosis. Aging Cell, 00, e14318. doi.org/10.1111/acel.14318

Zerr K, Seiler JP-H, Rumpel S & Tüscher O (2024) Validation of a German version of the Boredom Proneness Scale and the Multidimensional State Boredom Scale. Scientific Reports 14:2905. doi.org/10.1038/s41598-024-53236-4

Seiler JP-H & Rumpel S (2023) Modeling fashion as an emergent collective behavior of bored individuals. Scientific Reports volume 13, Article number: 20480

Seiler JP-H,  Zerr K, Rumpel S & Tüscher O (2023) High state boredom vastly affects psychiatric inpatients and predicts their treatment duration. Translational Psychiatry volume 13, Article number: 350

Vogel FW, Alipek S, Eppler J-B, Osuna-Vargas P, Triesch J, Bissen D, Acker-Palmer A, Rumpel S & Kaschube M (2023) Utilizing 2D-region-based CNNs for automatic dendritic spine detection in 3D live cell imaging. Scientific Reports volume 13, Article number: 20497

Chan Y-C, Kienle E, Oti M, Di Liddo A, Mendez-Lago M, Aschauer DF, Peter M, Pagani M, Arnold C, Vonderheit A, Schön C, Kreuz S, Stark A, Rumpel S (2023) An unbiased AAV-STARR-Seq screen revealing the enhancer activity map of genomic regions in the mouse brain in vivo. Sci Rep 13, 6745. doi.org/10.1038/s41598-023-33448-w

Chambers AR, Aschauer DF, Eppler J-B, Kaschube M, Rumpel S (2022) A stable sensory map emerges from a dynamic equilibrium of neurons with unstable tuning properties. Cerebral Cortex, bhac445 

Seiler JPH, Dan O, Tüscher O, Loewenstein Y, Rumpel S (2022) Experienced entropy drives choice behavior in a boring decision-making task. Scientific reports, 12:3162

Aschauer DF, Eppler JB, Ewig L, Chambers AR, Pokorny C, Kaschube M, Rumpel S (2022) Learning-induced biases in the ongoing dynamics of sensory representations predict stimulus generalization. Cell Reports, 38:110340

Peter M, Aschauer DF, Rose R, Sinning A, Grössl F, Kargl D, Kraitsy K, Burkard TR, Luhmann HJ, Haubensak W, Rumpel S (2021) Rapid nucleus-scale reorganization of chromatin in neurons enables transcriptional adaptation for memory consolidation. PLoS ONE. 16: e0244038

Ceballo S, Bourg J, Kempf A, Piwkowska Z, Daret A, Pinson P, Deneux T, Rumpel S & Bathellier B (2019) Cortical recruitment determines learning dynamics and strategy. Nat. Commun. 10:1479

Mongillo G, Rumpel S, Loewenstein Y (2018) Inhibitory connectivity defines the realm of excitatory plasticity. Nat. Neurosci. 21:1463–1470.

Loewenstein Y, Yanover U, Rumpel S (2015) Predicting the dynamics of network connectivity in the neocortex. J. Neurosci., 35:12535-12544

Moczulska KE, Pichler P, Schutzbier M, Schleiffer A, Rumpel S, Mechtler K (2014) Deep and precise quantification of the mouse synaptosomal proteome reveals substantial remodeling during postnatal maturation. J. Proteome Res., 13: 4310-4324

Bathellier B, Tee SP, Hrovat C, Rumpel S (2013) A multiplicative reinforcement learning model capturing learning dynamics and inter-individual variability in mice. Proc. Natl. Acad. Sci. USA 110:19950-19955.

Moczulska KE, Tinter-Thiede J, Peter M, Ushakova L, Wernle T, Bathellier B, Rumpel S (2013) Dynamics of dendritic spines in the mouse auditory cortex during memory formation and memory recall. Proc. Natl. Acad. Sci. USA 110:18315-18320

Aschauer DF, Kreuz S, Rumpel S (2013) Analysis of Transduction Efficiency, Tropism and Axonal Transport of AAV Serotypes 1, 2, 5, 6, 8 and 9 in the Mouse Brain. PLoS One. 2013 8:e76310

Fischer RM, Fontinha BM, Kirchmaier S, Steger J, Bloch S, Panda S, Rumpel S, Tessmar-Raible K (2013) Co-expression of VAL- and TMT-opsins uncovers ancient photosensory interneurons and motorneurons in the vertebrate brain. PloS Biol. 11:e1001585

Peter M, Bathellier B, Fontinha B, Pliota P, Haubensak W, Rumpel S (2013) Transgenic mouse models enabling photolabeling of individual neurons in vivo. PLoS ONE 8:e62132

Bathellier B, Ushakova L, Rumpel S (2012) Discrete Neocortical Dynamics Predict Behavioral Categorization of Sounds. Neuron 76:435-449. (discussed in: Harris KD (2012) Cell assemblies of the superficial cortex. Neuron, 76:263-265

Peter M, Scheuch H, Burkard TR, Tinter J, Wernle T, Rumpel S (2012) Induction of immediate early genes in the mouse auditory cortex after auditory cued fear conditioning to complex sounds. Genes Brain Behav. 11:314-324

Loewenstein Y, Kuras A, Rumpel S (2011) Multiplicative dynamics underlies the emergence of the log-normal distribution of spine sizes in the neocortex in vivo. J. Neurosci. 31:9481-9488

Ehrlich I, Klein M, Rumpel S, Malinow R (2007) PSD-95 is required for activity-driven synapse stabilization. Proc. Natl. Acad. Sci. USA 104:4176-4181

Rumpel S, LeDoux J, Zador A, Malinow R (2005) Postsynaptic receptor trafficking underlying amygdala associative learning. Science 308:83-88 (discussed in: Maren S (2005) Synaptic mechanisms of associative memory in the amygdala. Neuron, 47:783-786

Ehninger D, Matynia A, Silva AJ (2005) Trafficking in emotions. Nat. Neurosci., 8:548-550

Rumpel S, Kattenstroth G, Gottmann K (2004) Silent synapses in the immature visual cortex: layer-specific developmental regulation. J. Neurophysiol. 91:1097-1101

Plitzko D, Rumpel S, Gottmann K. (2001) Insulin promotes functional induction of silent synapses in differentiating neocortical neurons. Eur. J. Neuroscience, 14:1412-1415

Rumpel S, Hoffmann H, Hatt H, Gottmann K, Mittmann T, Eysel UT (2000) Lesion-induced changes in NMDA receptor subunit mRNA expression in rat visual cortex. NeuroReport, 11:4021-4025

Rumpel S, Hatt H, Gottmann K (1998) Silent synapses in the developing rat visual cortex: evidence for postsynaptic expression of synaptic plasticity. J. Neurosci., 18:8863-8874

Andere Publikationen

Seiler JP-H, Elpelt J, Ghobadi A, Kaschube M & Rumpel S (2025) Perceptual and semantic maps in individual humans share structural features that predict creative abilities. Commun Psychol 3, 30. doi:10.1038/s44271-025-00214-9

Seiler JP-H, Elpelt J, Mashkov V, Ghobadi A, Kapoor A, Turner D, Kaschube M, Tuescher O & Rumpel S (2025) A reduced perception of sensory information is linked with elevated boredom in people with and without attention-deficit hyperactivity disorder. Commun Psychol 3, 47 (2025). doi:10.1038/s44271-025-00233-6

Seiler JP-H and Dan O (2024) Boredom and curiosity: the hunger and the appetite for information. Front. Psychol. 15:1514348. doi: 10.3389/fpsyg.2024.1514348

Noda T, Aschauer DF, Chambers AR, Seiler JP-H, Rumpel S (2024) Representational maps in the brain: concepts, approaches, and applications. Front. Cell. Neurosci. 18: 1366200. doi.org/10.3389/fncel.2024.1366200

Rumpel S (2018) Supporting recovery from brain injury. Science, 360:30-31. doi:10.1126/science.aat2450

Aschauer D, Rumpel S (2018) The sensory neocortex and associative memory. Curr. Top. Behav. Neurosci 37:177-211

Chambers AR, Rumpel S (2017) A stable brain from unstable components: Emerging concepts and implications for neural computation. Neuroscience, 357:172-184

Mongillo G, Rumpel S, Loewenstein Y (2017) Intrinsic volatility of synaptic connections — a challenge to the synaptic trace theory of memory. Curr. Opin. Neurobiol. 46:7–13

Rumpel S, Triesch J (2016) The dynamic connectome. e-Neuroforum 7:48-53

Aschauer DF, Rumpel S (2014) Measuring the Functional Organization of the Neocortex at Large and Small Scales. Neuron, 83:756-758

Preprints

Elbaum L, Yuan W, Seiler JPH, Blom N, Chan Y, Baig AH, Brose N, Rumpel S, Ziv NE (2024) Revealing Acute Consequences of Rapid Protein Elimination at Individual Synapses using Auxin-Inducible Degron 2 Technology. bioRxiv doi: 2024.10.20.619267

Noda T, Kienle E, Eppler JB, Aschauer DF, Kaschube M, Loewenstein Y, Rumpel S (2023) Homeostasis of a representational map in the neocortex. bioRxiv doi: 2023.06.13.544358

Vogel FW, Alipek S, Eppler JB, Triesch J, Bissen D, Acker-Palmer A, Rumpel S, Kaschube M (2023) Fully automated detection of dendritic spines in 3D live cell imaging data using deep convolutional neural networks. bioRxiv doi:2023.01.08.522220

Aschauer DF, Eppler JB, Ewig L, Chambers A, Pokorny C, Kaschube M, Rumpel S (2019) A Basis Set of Elementary Operations Captures Recombination of Neocortical Cell Assemblies During Basal Conditions and Learning. ssrn ID=3438457