Brightfiltenborg1726

Neural coding is one of the central questions in systems neuroscience for understanding how the brain processes stimulus from the environment, moreover, it is also a cornerstone for designing algorithms of brain-machine interface, where decoding incoming stimulus is highly demanded for better performance of physical devices. Traditionally researchers have focused on functional magnetic resonance imaging (fMRI) data as the neural signals of interest for decoding visual scenes. However, our visual perception operates in a fast time scale of millisecond in terms of an event termed neural spike. There are few studies of decoding by using spikes. Here we fulfill this aim by developing a novel decoding framework based on deep neural networks, named spike-image decoder (SID), for reconstructing natural visual scenes, including static images and dynamic videos, from experimentally recorded spikes of a population of retinal ganglion cells. The SID is an end-to-end decoder with one end as neural spikes and the other end as images, which can be trained directly such that visual scenes are reconstructed from spikes in a highly accurate fashion. Our SID also outperforms on the reconstruction of visual stimulus compared to existing fMRI decoding models. In addition, with the aid of a spike encoder, we show that SID can be generalized to arbitrary visual scenes by using the image datasets of MNIST, CIFAR10, and CIFAR100. Furthermore, with a pre-trained SID, one can decode any dynamic videos to achieve real-time encoding and decoding of visual scenes by spikes. Altogether, our results shed new light on neuromorphic computing for artificial visual systems, such as event-based visual cameras and visual neuroprostheses. Recent findings suggest that acetylcholine mediates uncertainty-seeking behaviors through its projection to dopamine neurons - another neuromodulatory system known for its major role in reinforcement learning and decision-making. In this paper, we propose a leaky-integrate-and-fire model of this mechanism. It implements a softmax-like selection with an uncertainty bonus by a cholinergic drive to dopaminergic neurons, which in turn influence synaptic currents of downstream neurons. Oprozomib concentration The model is able to reproduce experimental data in two decision-making tasks. It also predicts that (i) in the absence of cholinergic input, dopaminergic activity would not correlate with uncertainty, and that (ii) the adaptive advantage brought by the implemented uncertainty-seeking mechanism is most useful when sources of reward are not highly uncertain. Moreover, this modeling work allows us to propose novel experiments which might shed new light on the role of acetylcholine in both random and directed exploration. Overall, this study contributes to a more comprehensive understanding of the role of the cholinergic system and, in particular, its involvement in decision-making. HYPOTHESIS Multi-component supramolecular hydrogels are gaining increasing interest as stimuli-responsive materials. To fully understand and possibly exploit the potential of such complex systems, the hierarchical structure of the gel network needs in-depth investigations across multiple length scales. We show that a thorough structural and rheological study represents a crucial pillar for the exploitation of this class of functional materials. EXPERIMENTS Supramolecular hydrogels are prepared by self-assembly of hexadecyltrimethylammonium bromide (CTAB) and azobenzene-4,4'-dicarboxylic acid (AZO) in alkaline aqueous solution. The CTAB/AZO concentration was varied from ϕ = 0.25 to 4 wt% keeping the CTABAZO molar ratio fixed at 21. The systems were thoroughly studied through a combination of X-ray scattering, microscopy, rheological and spectroscopic analyses. FINDINGS The CTAB/AZO solutions form a self-supporting gel with nanofibrillar structure below ~30 °C. The critical gelation concentration is ϕc = 0.45 wt%. Above this threshold, the gel elasticity and strength increase with CTAB/AZO content as ~(ϕ-ϕc)1. The hydrogels exhibit self-healing ability when left at rest after a stress-induced damage. Moreover, the light-induced isomerization of the AZO moieties provides the gel with light-responsiveness. Overall, the multi-stimuli responsiveness of the studied CTAB/AZO hydrogels makes them a solid starting point for the development of sensors for mechanical vibrations and UV/visible light exposure. To maintain osmotic balance, cells usually produce neutral solutes (i.e., osmolytes), together with charged species to cope with salinity stress. Osmolytes are known to be important in stabilizing/destabilizing macromolecules (e.g., proteins) via depletion /accumulation around their surfaces. To better understand the physiological fate of nanoparticles (NPs), we investigated the effect of osmolytes [(urea and trimethylamine N-oxide (TMAO)] and specific anions (NO3- and F-) on the interactions between NPs and supported lipid bilayers (SLBs). Carboxylated polystyrene NPs (60 nm) and 1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC) were chosen as model NPs and lipid. Quartz crystal microbalance with dissipation monitoring (QCM-D) was used to quantify NP deposition dynamics. Microscale thermophoresis (MST) was used to characterize the affinity between DOPC vesicles (or NPs) and osmolytes. Our results show that osmolytes are capable of protecting SLBs from NP-induced disruption. Upon NP deposition onto supported vesicle layers (SVLs), the leakage of encapsulated dyes decreased with the addition of osmolytes. The combination of kosmotropes (TMAO and F-) are more efficient than that of chaotropes (urea and NO3-) in weakening the hydrophobic interaction between NPs and SLBs by preferential binding to NPs and/or SLBs. This work examines organic impurity profiles of 3,4-methylenedioxymethamphetamine (MDMA) that has been synthesised from the "pre-precursors" catechol (1,2-dihydroxybenzene) and eugenol, via a safrole intermediate. MDMA was synthesised from the catechol- and eugenol-derived safrole intermediate via two routes, which resulted in the synthesis of MDMA from catechol via two routes (Route 1A and 1B) and from eugenol via two routes (Route 2A and 2B). Twelve organic impurities were identified in MDMA synthesised via Routes 1A and 1B, and eleven organic impurities were identified in MDMA synthesised via Routes 2A and 2B. Route specific organic impurities were identified in MDMA that indicated the "pre-precursors" catechol and eugenol were used in the respective synthetic routes. Route specific organic impurities were also identified in MDMA that indicated the route used to synthesise safrole from the "pre-precursor" and the route used to synthesise MDMA from safrole. Thus, the use of the "pre-precursors" catechol and eugenol and the synthetic route utilised could be ascertained by the organic impurity profiling of MDMA under the conditions used here.