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Recurrent cortical network dynamics plays a crucial role for sequential information processing in the brain. While the theoretical framework of reservoir computing provides a conceptual basis for the understanding of recurrent neural computation, it often requires manual adjustments of global network parameters, in particular of the spectral radius of the recurrent synaptic weight matrix. Being a mathematical and relatively complex quantity, the spectral radius is not readily accessible to biological neural networks, which generally adhere to the principle that information about the network state should either be encoded in local intrinsic dynamical quantities (e.g. membrane potentials), or transmitted via synaptic connectivity. We present two synaptic scaling rules for echo state networks that solely rely on locally accessible variables. Both rules work online, in the presence of a continuous stream of input signals. The first rule, termed flow control, is based on a local comparison between the mean squared recurrent membrane potential and the mean squared activity of the neuron itself. It is derived from a global scaling condition on the dynamic flow of neural activities and requires the separability of external and recurrent input currents. We gained further insight into the adaptation dynamics of flow control by using a mean field approximation on the variances of neural activities that allowed us to describe the interplay between network activity and adaptation as a two-dimensional dynamical system. The second rule that we considered, variance control, directly regulates the variance of neural activities by locally scaling the recurrent synaptic weights. The target set point of this homeostatic mechanism is dynamically determined as a function of the variance of the locally measured external input. This functional relation was derived from the same mean-field approach that was used to describe the approximate dynamics of flow control.
The effectiveness of the presented mechanisms was tested numerically using different external input protocols. The network performance after adaptation was evaluated by training the network to perform a time delayed XOR operation on binary sequences. As our main result, we found that flow control can reliably regulate the spectral radius under different input statistics, but precise tuning is negatively affected by interneural correlations. Furthermore, flow control showed a consistent task performance over a wide range of input strengths/variances. Variance control, on the other side, did not yield the desired spectral radii with the same precision. Moreover, task performance was less consistent across different input strengths.
Given the better performance and simpler mathematical form of flow control, we concluded that a local control of the spectral radius via an implicit adaptation scheme is a realistic alternative to approaches using classical “set point” homeostatic feedback controls of neural firing.
Author summary How can a neural network control its recurrent synaptic strengths such that network dynamics are optimal for sequential information processing? An important quantity in this respect, the spectral radius of the recurrent synaptic weight matrix, is a non-local quantity. Therefore, a direct calculation of the spectral radius is not feasible for biological networks. However, we show that there exist a local and biologically plausible adaptation mechanism, flow control, which allows to control the recurrent weight spectral radius while the network is operating under the influence of external inputs. Flow control is based on a theorem of random matrix theory, which is applicable if inter-synaptic correlations are weak. We apply the new adaption rule to echo-state networks having the task to perform a time-delayed XOR operation on random binary input sequences. We find that flow-controlled networks can adapt to a wide range of input strengths while retaining essentially constant task performance.
Measurements of halogenated trace gases in ambient air frequently rely on canister sampling followed by offline laboratory analysis. This allows for a large number of compounds to be analysed under stable conditions, maximizing measurement precision. However, individual compounds might be affected during the sampling and storage of canister samples. In order to assess halocarbon stability in whole-air samples from the upper troposphere and lowermost stratosphere, we performed stability tests using the high-resolution sampler (HIRES) air sampling unit, which is part of the Civil Aircraft for the Regular Investigation of the atmosphere Based on an Instrument Container (CARIBIC) instrument package. The HIRES unit holds 88 lightweight stainless-steel cylinders that are pressurized in flight to 4.5 bar using metal bellows pumps. The HIRES unit was first deployed in 2010 but has up to now not been used for regular halocarbon analysis with the exception of chloromethane analysis. The sample collection unit was tested for the sampling and storage effects of 28 halogenated compounds. The focus was on compound stability in the stainless-steel canisters during storage of up to 5 weeks and on the influence of ozone, since flights take place in the upper troposphere and lowermost stratosphere with ozone mixing ratios of up to several hundred parts per billion by volume (ppbv). Most of the investigated (hydro)chlorofluorocarbons and long-lived hydrofluorocarbons were found to be stable over a storage time of up to 5 weeks and were unaltered by ozone being present during pressurization. Some compounds such as dichloromethane, trichloromethane, and tetrachloroethene started to decrease in the canisters after a storage time of more than 2 weeks or exhibited lowered mixing ratios in samples pressurized with ozone present. A few compounds such as tetrachloromethane and tribromomethane were found to be unstable in the HIRES stainless-steel canisters independent of ozone levels. Furthermore, growth was observed during storage for some species, namely for HFC-152a, HFC-23, and Halon 1301.
Stanley Cavell is one of very few philosophers who systematically reflect on the impact and influence of autobiographical detail, experience, and preferences on their philosophical work. The aim of this essay is to show how Cavell’s use of autobiographical exploration is rooted in his early aesthetic theory, in particular his view of the similarities between philosophy and aesthetic criticism. Cavell argues that criticism starts by exploiting and incorporating a subjective vantage point, eventually bringing the reader to test the significance of a work on herself. In his ‘Aesthetic Problems of Modern Philosophy’, Cavell states exactly this form of appeal to the ‘We’ of author and reader as the basic move of his own version of ‘ordinary language philosophy’. It is because of the connections Cavell sees between criticism and philosophy that his aesthetic diagnosis harks back on his overall critical style of thinking.
Do current levels of bank capital in Europe suffice to support a swift recovery from the COVID-19 crisis? Recent research shows that a well-capitalized banking sector is a major factor driving the speed and breadth of recoveries from economic downturns. In particular, loan supply is negatively affected by low levels of capital. We estimate a capital shortfall in European banks of up to 600 billion euro in a severe scenario, and around 143 billion euro in a moderate scenario. We propose a precautionary recapitalization on the European level that puts the European Stability Mechanism (ESM) center stage. This proposal would cut through the sovereign-bank nexus, safeguard financial stability, and position the Eurozone for a quick recovery from the pandemic.
Investigation of co-translational protein folding using cryo-EM and solid-state NMR enhanced by DNP
(2020)
Die zelluläre Proteinbiosynthese findet am Peptidyltransferase-Zentrum innerhalb der großen ribosomalen Untereinheit statt. Die neu synthetisierte Polypeptidkette passiert den ribosomalen Exit-Tunnel, der 80-100 Å lang und 10-20 Å breit ist. Proteinfaltung findet kotranslational statt, während die Peptidkette durch den ribosomalen Tunnel geschleust wird. Zu welchem Ausmaß die Proteine ihre native Struktur noch am Ribosom gebunden annehmen, steht im Fokus aktueller Studien. Verschiedene Methoden, die naszierende Proteinkette am Ribosom zu arretieren und die Faltung des Proteins untersuchen zu können, wurden entwickelt. Zur Herstellung von Ribosom naszierenden Proteinkomplexen (RNCs) in vivo werden Arrestierungspeptide (APs) verwendet. Ein oft genutztes AP ist die 17 Aminosäuren lange SecM Sequenz des E. coli Sekretionsmonitors, das C-Terminal an das zu untersuchende Protein kloniert werden kann und dadurch die Peptidkette am Ribosom behält. RNCs wurden mittels verschiedener Methoden untersucht, einschließlich Proteolyse-Experimenten, enzymatischen Aktivitätsmessungen, FRET, Cryo-EM und NMR-Spektroskopie. Alle Methoden zeigten auf, dass sich die Proteine kotranslational falten und auch am Ribosom eine funktionale Struktur annehmen können. Außerdem konnte eine Peptidkette eine α-Helix innerhalb des Ribosoms ausbilden. Ebenso wurden nicht-native kompakte Strukturen innerhalb der Vestibule detektiert.
Die Translation ist ein nicht-uniformer Prozess und der genetische Code degeneriert mit bis zu sechs Codons, die eine einzelne Aminosäure kodieren. Die Verteilung dieser synonymen Codons ist nicht zufällig und sie werden mit verschiedenen Frequenzen innerhalb eines ORFs verwendet. Codons mit einer höheren tRNA Häufigkeit werden schneller eingebaut als Codons, die seltener verwendet werden. Diese seltenen Codons sind häufig zwischen Proteindomänen oder Sekundärstrukturelementen platziert und könnten daher zur Separierung von Faltungsevents dienen. Dass der Austausch von synonymen Codons nicht ohne Folgen ist, zeigten verschiedene Studien. Buhr et al. (2016) zeigte, dass der synonyme Austausch die Translationsgeschwindigkeit, aber auch die Proteinkonformation des bovinen Augenlinsenproteins γB crystallin (GBC) beeinflusst. Während die unmodifizierte Gensequenz aus B. taurus in E. coli langsamer translatiert wurde und zu einem vollständig reduzierten GBC Protein (U) führte, wurde die harmonisierte Genvariante, die der Codon-Verwendung in E. coli angepasst war, schneller exprimiert und resultierte in einem teilweise oxidierten GBC Protein (H). Dieser Befund war der Ausgangspunkt für diese Doktorarbeit.
Die gemessenen Oxidationsunterschiede basieren auf der unterschiedlichen Translationsgeschwindigkeit der beiden Gensequenzen. Die N-terminale Domäne (NTD) des Zweidomänen-Proteins GBC enthält sechs der insgesamt sieben Cysteinreste. Nur in dieser Domäne wurde Oxidation detektiert und die drei Cysteine Cys18, Cys22 und Cys78 bilden eine Ansammlung mit einem Abstand von 5.4-6.4 Å. Um zu untersuchen, ob die Unterschiede bereits nach der Translation der NTD ausgebildet werden, wurde ein Ein-Domänen-Konstrukt hergestellt. Dieses Konstrukt beinhaltete die Aminosäuren 1-82, aber nicht den Peptidlinker, der beide Domänen verbindet. Allerdings wurden bei der Translation der ersten 70 Aminosäuren die meisten Translationspausen detektiert. Das 2D 1H-15N HSQC wies anhand der unterschiedlichen chemischen Verschiebung der Signale auf eine gefaltete Proteinstruktur hin. Daher konnte sich die NTD ohne Beteiligung der CTD eigenständig falten. Zugabe von DTT zu beiden Proteinvarianten U und H führte zu keinem messbaren Effekt. Im Gegensatz zu dem Volllängen-Protein, in dem die Variante H teilweise oxidiert war, war die NTD der Variante H vollständig reduziert.
Zusätzlich sollte geklärt werden, ob auch mögliche Disulfidbrücken im Inneren des Ribosoms ausgebildet werden können. Dann könnte in beiden Genvarianten eine anfängliche Disulfidbrücke ausgebildet werden und durch die unterschiedliche Translationsgeschwindigkeit die Disulfidbrücke in der langsamen Genvariante im E. coli Zytosol reduziert werden, während diese in der schneller translatierten Variante von der CTD geschützt wird. Um zu untersuchen, ob in der Tat Disulfidbrücken im ribosomalen Tunnel ausgebildet werden können, wurden GBC-Fragmente mittels der SecM Sequenz an das Ribosom arretiert und diese RNCs mittels theoretischer Simulation, Festkörper-NMR, Massenspektrometrie und Cryo-EM gemessen.
Theoretische Simulation mittels flexible-mecanno zeigten, dass der ribosomale Tunnel groß genug für die Ausbildung verschiedenster Disulfidbrücken ist. In einem U32SecM Konstrukt, das vier Cysteine und die SecM Sequenz beinhaltet, konnten alle theoretisch möglichen Disulfidbrücken gebildet werden.
...
Understanding the conformational sampling of translation-arrested ribosome nascent chain complexes is key to understand co-translational folding. Up to now, coupling of cysteine oxidation, disulfide bond formation and structure formation in nascent chains has remained elusive. Here, we investigate the eye-lens protein γB-crystallin in the ribosomal exit tunnel. Using mass spectrometry, theoretical simulations, dynamic nuclear polarization-enhanced solid-state nuclear magnetic resonance and cryo-electron microscopy, we show that thiol groups of cysteine residues undergo S-glutathionylation and S-nitrosylation and form non-native disulfide bonds. Thus, covalent modification chemistry occurs already prior to nascent chain release as the ribosome exit tunnel provides sufficient space even for disulfide bond formation which can guide protein folding.
Diversity and psychological health issues at the workplace are pressing issues in today’s organizations. However, research linking two fields is scant. To bridge this gap, drawing from team faultline research, social categorization theory, and the job-demands resources model, we propose that perceiving one’s team as fragmented into subgroups increases strain. We further argue that this relationship is mediated by task conflict and relationship conflict and that it is moderated by psychological empowerment and task interdependence. Multilevel structural equation models on a two-wave sample consisting of 536 participants from 107 work teams across various industries and work contexts partially supported the hypotheses: task conflict did indeed mediate the positive relationships between perceived subgroups and emotional exhaustion while relationship conflict did not; effects on stress symptoms were absent. Moreover, contrary to our expectations, neither empowerment, nor task interdependence moderated the mediation. Results indicate that team diversity can constitute a job demand that can affect psychological health. Focusing on the mediating role of task conflict, we offer a preliminary process model to guide future research at the crossroads of diversity and psychological health at work.
The article critically engages Menachem Fisch’s account of normative frameworks, in particular of (rational) transitions between them. I argue, first, that exposure to the normative criticism leveled at us by other human beings is indeed “capable of destabilizing normative commitment” to one’s own underlying framework beliefs and standards, as Fisch holds; however, closer scrutiny reveals that such exposure is neither sufficient nor necessary but rather accidental in this respect. Second, I will try to show that Søren Kierkegaard’s account of how people fundamentally change their mind provides resources for both a substantial critique of Fisch and a more adequate understanding of the transitions in question. The article argues, third, that Fisch’s framework model – though meaningful, in fact heuristically indispensable in and as of itself – has robust transcendental implications which as such are being ignored, if not directly denied by Fisch and, precisely by being ignored or denied, unnecessarily weaken the overall plausibility of his account. Finally, and ex post, I will address an important objection raised by some commentators.
This article presents the findings from systematically reviewing 26 empirical research studies published from 2005 to 2014 on the use of GIS for learning and teaching. By employing methods of narrative synthesis and qualitative content analysis, the study gives evidence about the state of knowledge of competence‐based GIS education. The results explain what factors and variables effect GIS learning in terms of technology use, major subject contents, learning contexts, and didactic and pedagogical aspects. They also show what facets of knowledge, process skills, and affect the research literature has investigated. The analysis of the type and quality of the methods used indicates that current GIS education research is a heterogeneous field that needs a systematic research framework for future efforts, according to empirical education research.
This article presents the findings from systematically reviewing 26 empirical research studies published from 2005 to 2014 on the use of GIS for learning and teaching. By employing methods of narrative synthesis and qualitative content analysis, the study gives evidence about the state of knowledge of competence-based GIS education. The results explain what factors and variables effect GIS learning in terms of technology use, major subject contents, learning contexts, and didactic and pedagogical aspects. They also show what facets of knowledge, process skills, and affect the research literature has investigated. The analysis of the type and quality of the methods used indicates that current GIS education research is a heterogeneous field that needs a systematic research framework for future efforts, according to empirical education research.