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https://www.readbyqxmd.com/read/27911744/dysregulation-of-mrna-localization-and-translation-in-genetic-disease
#1
Eric T Wang, J Matthew Taliaferro, Ji-Ann Lee, Indulekha P Sudhakaran, Wilfried Rossoll, Christina Gross, Kathryn R Moss, Gary J Bassell
RNA-binding proteins (RBPs) acting at various steps in the post-transcriptional regulation of gene expression play crucial roles in neuronal development and synaptic plasticity. Genetic mutations affecting several RBPs and associated factors lead to diverse neurological symptoms, as characterized by neurodevelopmental and neuropsychiatric disorders, neuromuscular and neurodegenerative diseases, and can often be multisystemic diseases. We will highlight the physiological roles of a few specific proteins in molecular mechanisms of cytoplasmic mRNA regulation, and how these processes are dysregulated in genetic disease...
November 9, 2016: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/27903878/a-spiking-neural-model-of-adaptive-arm-control
#2
Travis DeWolf, Terrence C Stewart, Jean-Jacques Slotine, Chris Eliasmith
We present a spiking neuron model of the motor cortices and cerebellum of the motor control system. The model consists of anatomically organized spiking neurons encompassing premotor, primary motor, and cerebellar cortices. The model proposes novel neural computations within these areas to control a nonlinear three-link arm model that can adapt to unknown changes in arm dynamics and kinematic structure. We demonstrate the mathematical stability of both forms of adaptation, suggesting that this is a robust approach for common biological problems of changing body size (e...
November 30, 2016: Proceedings. Biological Sciences
https://www.readbyqxmd.com/read/27899890/causal-role-of-thalamic-interneurons-in-brain-state-transitions-a-study-using-a-neural-mass-model-implementing-synaptic-kinetics
#3
Basabdatta Sen Bhattacharya, Thomas P Bond, Louise O'Hare, Daniel Turner, Simon J Durrant
Experimental studies on the Lateral Geniculate Nucleus (LGN) of mammals and rodents show that the inhibitory interneurons (IN) receive around 47.1% of their afferents from the retinal spiking neurons, and constitute around 20-25% of the LGN cell population. However, there is a definite gap in knowledge about the role and impact of IN on thalamocortical dynamics in both experimental and model-based research. We use a neural mass computational model of the LGN with three neural populations viz. IN, thalamocortical relay (TCR), thalamic reticular nucleus (TRN), to study the causality of IN on LGN oscillations and state-transitions...
2016: Frontiers in Computational Neuroscience
https://www.readbyqxmd.com/read/27893786/extending-integrate-and-fire-model-neurons-to-account-for-the-effects-of-weak-electric-fields-and-input-filtering-mediated-by-the-dendrite
#4
Florian Aspart, Josef Ladenbauer, Klaus Obermayer
Transcranial brain stimulation and evidence of ephaptic coupling have recently sparked strong interests in understanding the effects of weak electric fields on the dynamics of brain networks and of coupled populations of neurons. The collective dynamics of large neuronal populations can be efficiently studied using single-compartment (point) model neurons of the integrate-and-fire (IF) type as their elements. These models, however, lack the dendritic morphology required to biophysically describe the effect of an extracellular electric field on the neuronal membrane voltage...
November 2016: PLoS Computational Biology
https://www.readbyqxmd.com/read/27882454/portraying-the-effect-of-calcium-binding-proteins-on-cytosolic-calcium-concentration-distribution-fractionally-in-nerve-cells
#5
Brajesh Kumar Jha, Hardik Joshi, Devanshi D Dave
Nerve cells like neurons and astrocytes in central nervous system (CNS) take part in the signaling process which means the transformation of the information from one cell to another via signals. The signaling process is affected by various external parameters like buffers calcium-binding proteins, voltage-gated calcium channel. In the present paper, the role of buffers in the cytoplasmic calcium concentration distribution is shown. The elicitation in calcium concentration is due to the presence of lower amount calcium-binding proteins which can be shown graphically...
November 23, 2016: Interdisciplinary Sciences, Computational Life Sciences
https://www.readbyqxmd.com/read/27881953/connectomic-analysis-of-brain-networks-novel-techniques-and-future-directions
#6
REVIEW
J Leonie Cazemier, Francisco Clascá, Paul H E Tiesinga
Brain networks, localized or brain-wide, exist only at the cellular level, i.e., between specific pre- and post-synaptic neurons, which are connected through functionally diverse synapses located at specific points of their cell membranes. "Connectomics" is the emerging subfield of neuroanatomy explicitly aimed at elucidating the wiring of brain networks with cellular resolution and a quantified accuracy. Such data are indispensable for realistic modeling of brain circuitry and function. A connectomic analysis, therefore, needs to identify and measure the soma, dendrites, axonal path, and branching patterns together with the synapses and gap junctions of the neurons involved in any given brain circuit or network...
2016: Frontiers in Neuroanatomy
https://www.readbyqxmd.com/read/27877112/internal-cholinergic-regulation-of-learning-and-recall-in-a-model-of-olfactory-processing
#7
Licurgo de Almeida, Marco Idiart, Owen Dean, Sasha Devore, David M Smith, Christiane Linster
In the olfactory system, cholinergic modulation has been associated with contrast modulation and changes in receptive fields in the olfactory bulb, as well the learning of odor associations in olfactory cortex. Computational modeling and behavioral studies suggest that cholinergic modulation could improve sensory processing and learning while preventing pro-active interference when task demands are high. However, how sensory inputs and/or learning regulate incoming modulation has not yet been elucidated. We here use a computational model of the olfactory bulb, piriform cortex (PC) and horizontal limb of the diagonal band of Broca (HDB) to explore how olfactory learning could regulate cholinergic inputs to the system in a closed feedback loop...
2016: Frontiers in Cellular Neuroscience
https://www.readbyqxmd.com/read/27877100/striatal-and-tegmental-neurons-code-critical-signals-for-temporal-difference-learning-of-state-value-in-domestic-chicks
#8
Chentao Wen, Yukiko Ogura, Toshiya Matsushima
To ensure survival, animals must update the internal representations of their environment in a trial-and-error fashion. Psychological studies of associative learning and neurophysiological analyses of dopaminergic neurons have suggested that this updating process involves the temporal-difference (TD) method in the basal ganglia network. However, the way in which the component variables of the TD method are implemented at the neuronal level is unclear. To investigate the underlying neural mechanisms, we trained domestic chicks to associate color cues with food rewards...
2016: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/27877086/ginsenoside-rg1-protects-against-oxidative-stress-induced-neuronal-apoptosis-through-myosin-iia-actin-related-cytoskeletal-reorganization
#9
Yan Wang, Qian Liu, Yingqiong Xu, Yuanyuan Zhang, Yanni Lv, Yisha Tan, Nan Jiang, Guosheng Cao, Xiaonan Ma, Jingrong Wang, Zhengyu Cao, Boyang Yu, Junping Kou
Oxidative stress-induced cytoskeletal dysfunction of neurons has been implicated as a crucial cause of cell apoptosis or death in the central nervous system (CNS) diseases, such as neurodegenerative and psychiatric diseases. The application of neuroprotectants rescuing the neurons from cytoskeletal damage and apoptosis can be a potential treatment for these CNS diseases. Ginsenoside Rg1 (Rg1), one of the major active components of ginseng, has been reported possessing notable neuroprotective activities. However, there is rare report about its effect on cytoskeleton and its undergoing mechanism...
2016: International Journal of Biological Sciences
https://www.readbyqxmd.com/read/27876847/a-simplified-computational-memory-model-from-information-processing
#10
Lanhua Zhang, Dongsheng Zhang, Yuqin Deng, Xiaoqian Ding, Yan Wang, Yiyuan Tang, Baoliang Sun
This paper is intended to propose a computational model for memory from the view of information processing. The model, called simplified memory information retrieval network (SMIRN), is a bi-modular hierarchical functional memory network by abstracting memory function and simulating memory information processing. At first meta-memory is defined to express the neuron or brain cortices based on the biology and graph theories, and we develop an intra-modular network with the modeling algorithm by mapping the node and edge, and then the bi-modular network is delineated with intra-modular and inter-modular...
November 23, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27876537/artificial-neural-networks-approach-to-pharmacokinetic-model-selection-in-dce-mri-studies
#11
Mohammad-Reza Mohammadian-Behbahani, Ali-Reza Kamali-Asl
PURPOSE: In pharmacokinetic analysis of Dynamic Contrast Enhanced MRI data, a descriptive physiological model should be selected properly out of a set of candidate models. Classical techniques suggested for this purpose suffer from issues like computation time and general fitting problems. This article proposes an approach based on Artificial Neural Networks (ANNs) for solving these problems. METHODS: A set of three physiologically and mathematically nested models generated from the Tofts model were assumed: Model I, II and III...
November 19, 2016: Physica Medica: PM
https://www.readbyqxmd.com/read/27870617/analytical-calculation-of-mutual-information-between-weakly-coupled-poisson-spiking-neurons-in-models-of-dynamically-gated-communication
#12
Jonathan Cannon
Mutual information is a commonly used measure of communication between neurons, but little theory exists describing the relationship between mutual information and the parameters of the underlying neuronal interaction. Such a theory could help us understand how specific physiological changes affect the capacity of neurons to synaptically communicate, and, in particular, they could help us characterize the mechanisms by which neuronal dynamics gate the flow of information in the brain. Here we study a pair of linear-nonlinear-Poisson neurons coupled by a weak synapse...
November 21, 2016: Neural Computation
https://www.readbyqxmd.com/read/27870612/the-population-tracking-model-a-simple-scalable-statistical-model-for-neural-population-data
#13
Cian O'Donnell, J Tiago Gonçalves, Nick Whiteley, Carlos Portera-Cailliau, Terrence J Sejnowski
Our understanding of neural population coding has been limited by a lack of analysis methods to characterize spiking data from large populations. The biggest challenge comes from the fact that the number of possible network activity patterns scales exponentially with the number of neurons recorded ([Formula: see text]). Here we introduce a new statistical method for characterizing neural population activity that requires semi-independent fitting of only as many parameters as the square of the number of neurons, requiring drastically smaller data sets and minimal computation time...
November 21, 2016: Neural Computation
https://www.readbyqxmd.com/read/27870247/sparse-neural-network-models-of-antimicrobial-peptide-activity-relationships
#14
Alex T Müller, Aral C Kaymaz, Gisela Gabernet, Gernot Posselt, Silja Wessler, Jan A Hiss, Gisbert Schneider
We present an adaptive neural network model for chemical data classification. The method uses an evolutionary algorithm for optimizing the network structure by seeking sparsely connected architectures. The number of hidden layers, the number of neurons in each layer and their connectivity are free variables of the system. We used the method for predicting antimicrobial peptide activity from the amino acid sequence. Visualization of the evolved sparse network structures suggested a high charge density and a low aggregation potential in solution as beneficial for antimicrobial activity...
December 2016: Molecular Informatics
https://www.readbyqxmd.com/read/27870120/continuous-attractor-network-models-of-grid-cell-firing-based-on-excitatory-inhibitory-interactions
#15
Oliver Shipston-Sharman, Lukas Solanka, Matthew F Nolan
Neurons in the medial entorhinal cortex encode location through spatial firing fields that have a grid-like organisation. The challenge of identifying mechanisms for grid firing has been addressed through experimental and theoretical investigations of medial entorhinal circuits. Here, we discuss evidence for continuous attractor network models that account for grid firing by synaptic interactions between excitatory and inhibitory cells. These models assume that grid-like firing patterns are the result of computation of location from velocity inputs, with additional spatial input required to oppose drift in the attractor state...
November 15, 2016: Journal of Physiology
https://www.readbyqxmd.com/read/27865453/neurophysiology-and-regulation-of-the-balance-between-excitation-and-inhibition-in-neocortical-circuits
#16
REVIEW
Roberta Tatti, Melissa S Haley, Olivia K Swanson, Tenzin Tselha, Arianna Maffei
Brain function relies on the ability of neural networks to maintain stable levels of activity, while experiences sculpt them. In the neocortex, the balance between activity and stability relies on the coregulation of excitatory and inhibitory inputs onto principal neurons. Shifts of excitation or inhibition result in altered excitability impaired processing of incoming information. In many neurodevelopmental and neuropsychiatric disorders, the excitability of local circuits is altered, suggesting that their pathophysiology may involve shifts in synaptic excitation, inhibition, or both...
September 29, 2016: Biological Psychiatry
https://www.readbyqxmd.com/read/27863038/new-insights-into-the-structure-of-the-trace-amine-associated-receptor-2-homology-modelling-studies-exploring-the-binding-mode-of-3-iodothyronamine
#17
Elena Cichero, Michele Tonelli
Recent studies have further investigated the trace amine-associated receptor type 2 (TAAR2) pharmacology, revealing its role not only at the olfactory sensory neurons but also at the immune system, being expressed in human leucocytes. In particular, the ability of this receptor to bind the unselective TAAR ligand 3-iodo-thyronamine (T1 AM) was elucidated, making in the meanwhile the discovery of selective compounds a urgent need to derive much more suitable tools for studying TAARs. In this context, we developed our work on TAAR2 applying a structure-based computational protocol, including TAAR2 homology modelling and T1 AM docking studies...
November 8, 2016: Chemical Biology & Drug Design
https://www.readbyqxmd.com/read/27857695/information-compression-multiple-alignment-and-the-representation-and-processing-of-knowledge-in-the-brain
#18
J Gerard Wolff
The SP theory of intelligence, with its realization in the SP computer model, aims to simplify and integrate observations and concepts across artificial intelligence, mainstream computing, mathematics, and human perception and cognition, with information compression as a unifying theme. This paper describes how abstract structures and processes in the theory may be realized in terms of neurons, their interconnections, and the transmission of signals between neurons. This part of the SP theory-SP-neural-is a tentative and partial model for the representation and processing of knowledge in the brain...
2016: Frontiers in Psychology
https://www.readbyqxmd.com/read/27856695/multiplex-shrna-screening-of-germ-cell-development-by-in-vivo-transfection-of-mouse-testis
#19
Nicholas R Y Ho, Abul R Usmani, Yan Yin, Liang Ma, Donald F Conrad
Spermatozoa are one of the few mammalian cells types that cannot be fully derived in vitro, severely limiting the application of modern genomic techniques to study germ cell biology. The current gold standard approach of characterizing single gene knockout mice is slow as generation of each mutant line can take 6-9 months. Here, we describe an in vivo approach to rapid functional screening of germline genes based on a new non-surgical, non-viral in vivo transfection method to deliver nucleic acids into testicular germ cells...
November 16, 2016: G3: Genes—Genomes—Genetics
https://www.readbyqxmd.com/read/27852771/reduced-efficacy-of-the-kcc2-cotransporter-promotes-epileptic-oscillations-in-a-subiculum-network-model
#20
Anatoly Buchin, Anton Chizhov, Gilles Huberfeld, Richard Miles, Boris S Gutkin
: Pharmacoresistant epilepsy is a chronic neurological condition in which a basal brain hyperexcitability results in paroxysmal hypersynchronous neuronal discharges. Human temporal lobe epilepsy has been associated with dysfunction or loss of the potassium-chloride cotransporter KCC2 in a subset of pyramidal cells in the subiculum, a key structure generating epileptic activities. KCC2 regulates intraneuronal chloride and extracellular potassium levels by extruding both ions. Absence of effective KCC2 may alter the dynamics of chloride and potassium levels during repeated activation of GABAergic synapses due to interneuron activity...
November 16, 2016: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
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