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https://www.readbyqxmd.com/read/28106418/spatiotemporal-dynamics-and-reliable-computations-in-recurrent-spiking-neural-networks
#1
Ryan Pyle, Robert Rosenbaum
Randomly connected networks of excitatory and inhibitory spiking neurons provide a parsimonious model of neural variability, but are notoriously unreliable for performing computations. We show that this difficulty is overcome by incorporating the well-documented dependence of connection probability on distance. Spatially extended spiking networks exhibit symmetry-breaking bifurcations and generate spatiotemporal patterns that can be trained to perform dynamical computations under a reservoir computing framework...
January 6, 2017: Physical Review Letters
https://www.readbyqxmd.com/read/28102460/neural-mass-models-as-a-tool-to-investigate-neural-dynamics-during-seizures
#2
Tatiana Kameneva, Tianlin Ying, Ben Guo, Dean R Freestone
Epilepsy is one of the most common neurological disorders and is characterized by recurrent seizures. We use theoretical neuroscience tools to study brain dynamics during seizures. We derive and simulate a computational model of a network of hippocampal neuronal populations. Each population within the network is based on a model that has been shown to replicate the electrophysiological dynamics observed during seizures. The results provide insights into possible mechanisms for seizure spread. We observe that epileptiform activity remains localized to a pathological region when a global connectivity parameter is less than a critical value...
January 19, 2017: Journal of Computational Neuroscience
https://www.readbyqxmd.com/read/28095421/approximate-inference-for-time-varying-interactions-and-macroscopic-dynamics-of-neural-populations
#3
Christian Donner, Klaus Obermayer, Hideaki Shimazaki
The models in statistical physics such as an Ising model offer a convenient way to characterize stationary activity of neural populations. Such stationary activity of neurons may be expected for recordings from in vitro slices or anesthetized animals. However, modeling activity of cortical circuitries of awake animals has been more challenging because both spike-rates and interactions can change according to sensory stimulation, behavior, or an internal state of the brain. Previous approaches modeling the dynamics of neural interactions suffer from computational cost; therefore, its application was limited to only a dozen neurons...
January 17, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28095201/multisensory-bayesian-inference-depends-on-synapse-maturation-during-training-theoretical-analysis-and-neural-modeling-implementation
#4
Mauro Ursino, Cristiano Cuppini, Elisa Magosso
Recent theoretical and experimental studies suggest that in multisensory conditions, the brain performs a near-optimal Bayesian estimate of external events, giving more weight to the more reliable stimuli. However, the neural mechanisms responsible for this behavior, and its progressive maturation in a multisensory environment, are still insufficiently understood. The aim of this letter is to analyze this problem with a neural network model of audiovisual integration, based on probabilistic population coding-the idea that a population of neurons can encode probability functions to perform Bayesian inference...
January 17, 2017: Neural Computation
https://www.readbyqxmd.com/read/28093472/social-status-dependent-shift-in-neural-circuit-activation-affects-decision-making
#5
Thomas Miller, Katie Clements, Sungwoo Ahn, Choongseok Park, Eoon Hye Ji, Fadi A Issa
: In a social group, animals make behavioral decisions that fit their social ranks. These behavioral choices are dependent on the various social cues experienced during social interactions. In vertebrates, little is known of how social status affects the underlying neural mechanisms regulating decision-making circuits that drive competing behaviors. Here, we demonstrate that social status in zebrafish (Danio rerio) influences behavioral decisions by shifting the balance in neural circuit activation between two competing networks (escape and swim)...
January 16, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28091394/a-simple-bio-inspired-vehicle-collision-detection-system
#6
Manfred Hartbauer
Modern cars are equipped with both active and passive sensor systems that can detect potential collisions. In contrast, locusts avoid collisions solely by responding to certain visual cues that are associated with object looming. In neurophysiological experiments, I investigated the possibility that "collision-detector neurons��� of locusts respond to impending collisions in films recorded with dashboard cameras of fast driving cars. In a complementary modelling approach, I developed a simple algorithm to reproduce the neuronal response that was recorded during object approach...
January 16, 2017: Bioinspiration & Biomimetics
https://www.readbyqxmd.com/read/28088488/average-activity-but-not-variability-is-the-dominant-factor-in-the-representation-of-object-categories-in-the-brain
#7
Hamid Karimi-Rouzbahani, Nasour Bagheri, Reza Ebrahimpour
To categorize the perceived objects, brain utilizes a broad set of its resources and encoding strategies. Yet, it remains elusive how the category information is encoded in the brain. While many classical studies have sought the category information in the across-trials-averaged activity of neurons/neural populations, several recent studies have observed category information also in the within-trial correlated variability of activities between neural populations (i.e. dependent variability). Moreover, other studies have observed that independent variability of activity, which is the variability of the measured neural activity without any influence from correlated variability with other neurons/populations, could also be modulated for improved categorization...
January 11, 2017: Neuroscience
https://www.readbyqxmd.com/read/28077331/physiological-behavioral-changes-induced-by-a-fraction-with-antitumor-cleronade-diterpenes-from-an-atlantic-forest-brazilian-plant-and-computational-intermolecular-interactions-with-neuron-receptors
#8
Éverton José Ferreira de Araújo, Antônia Amanda Cardoso de Almeida, Oskar Almeida Silva, Iwyson Henrique Fernandes da Costa, Luis Mário Rezende Júnior, Francisco das Chagas Alves Lima, Luciano da Silva Lopes, Alberto José Cavalheiro, Paulo Michel Pinheiro Ferreira
ETHNOPHARMACOLOGICAL RELEVANCE: Casearia sylvestris is a medicinal plant traditionally used to treat snakebites, wounds, inflammation and gastric ulcers and scientific supports for have demonstrated its antitumor, antihyperlipidemic and antiparasitic properties. AIM OF THE STUDY: To assess the effects of a fraction with casearins (FC) on adult mice using classical experimental models of animal behavior and theoretical calculations to verify the interaction of Casearin X (Cas X) with neuron receptors...
January 7, 2017: Journal of Ethnopharmacology
https://www.readbyqxmd.com/read/28076347/spatiotemporal-feedback-and-network-structure-drive-and-encode-caenorhabditis-elegans-locomotion
#9
James M Kunert, Joshua L Proctor, Steven L Brunton, J Nathan Kutz
Using a computational model of the Caenorhabditis elegans connectome dynamics, we show that proprioceptive feedback is necessary for sustained dynamic responses to external input. This is consistent with the lack of biophysical evidence for a central pattern generator, and recent experimental evidence that proprioception drives locomotion. The low-dimensional functional response of the Caenorhabditis elegans network of neurons to proprioception-like feedback is optimized by input of specific spatial wavelengths which correspond to the spatial scale of real body shape dynamics...
January 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28073789/dynamics-of-convulsive-seizure-termination-and-postictal-generalized-eeg-suppression
#10
Prisca R Bauer, Roland D Thijs, Robert J Lamberts, Demetrios N Velis, Gerhard H Visser, Else A Tolner, Josemir W Sander, Fernando H Lopes da Silva, Stiliyan N Kalitzin
It is not fully understood how seizures terminate and why some seizures are followed by a period of complete brain activity suppression, postictal generalized EEG suppression. This is clinically relevant as there is a potential association between postictal generalized EEG suppression, cardiorespiratory arrest and sudden death following a seizure. We combined human encephalographic seizure data with data of a computational model of seizures to elucidate the neuronal network dynamics underlying seizure termination and the postictal generalized EEG suppression state...
January 10, 2017: Brain: a Journal of Neurology
https://www.readbyqxmd.com/read/28072834/a-computational-model-based-on-multi-regional-calcium-imaging-represents-the-spatio-temporal-dynamics-in-a-caenorhabditis-elegans-sensory-neuron
#11
Masahiro Kuramochi, Motomichi Doi
Due to the huge number of neuronal cells in the brain and their complex circuit formation, computer simulation of neuronal activity is indispensable to understanding whole brain dynamics. Recently, various computational models have been developed based on whole-brain calcium imaging data. However, these analyses monitor only the activity of neuronal cell bodies and treat the cells as point unit. This point-neuron model is inexpensive in computational costs, but the model is unrealistically simplistic at representing intact neural activities in the brain...
2017: PloS One
https://www.readbyqxmd.com/read/28068338/spikelets-in-pyramidal-neurons-action-potentials-initiated-in-the-axon-initial-segment-that-do-not-activate-the-soma
#12
Martina Michalikova, Michiel W H Remme, Richard Kempter
Spikelets are small spike-like depolarizations that can be measured in somatic intracellular recordings. Their origin in pyramidal neurons remains controversial. To explain spikelet generation, we propose a novel single-cell mechanism: somato-dendritic input generates action potentials at the axon initial segment that may fail to activate the soma and manifest as somatic spikelets. Using mathematical analysis and numerical simulations of compartmental neuron models, we identified four key factors controlling spikelet generation: (1) difference in firing threshold, (2) impedance mismatch, and (3) electrotonic separation between the soma and the axon initial segment, as well as (4) input amplitude...
January 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28068296/orientation-selective-deep-brain-stimulation
#13
Lauri J Lehto, Julia P Slopsema, Matthew D Johnson, Artem Shatillo, Benjamin A Teplitzky, Lynn Utecht, Gregor Adriany, Silvia Mangia, Alejandra Sierra, Walter C Low, Olli Gröhn, Shalom Michaeli
OBJECTIVE: Target selectivity of deep brain stimulation (DBS) therapy is critical, as the precise locus and pattern of the stimulation dictates the degree to which desired treatment responses are achieved and adverse side effects are avoided. There is a clear clinical need to improve DBS technology beyond currently available stimulation steering and shaping approaches. We introduce orientation selective neural stimulation as a concept to increase the specificity of target selection in DBS...
February 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28068117/the-neural-representation-of-the-gender-of-faces-in-the-primate-visual-system-a-computer-modeling-study
#14
Thomas Minot, Hannah L Dury, Akihiro Eguchi, Glyn W Humphreys, Simon M Stringer
We use an established neural network model of the primate visual system to show how neurons might learn to encode the gender of faces. The model consists of a hierarchy of 4 competitive neuronal layers with associatively modifiable feedforward synaptic connections between successive layers. During training, the network was presented with many realistic images of male and female faces, during which the synaptic connections are modified using biologically plausible local associative learning rules. After training, we found that different subsets of output neurons have learned to respond exclusively to either male or female faces...
January 9, 2017: Psychological Review
https://www.readbyqxmd.com/read/28065938/efficient-implementation-of-a-real-time-estimation-system-for-thalamocortical-hidden-parkinsonian-properties
#15
Shuangming Yang, Bin Deng, Jiang Wang, Huiyan Li, Chen Liu, Chris Fietkiewicz, Kenneth A Loparo
Real-time estimation of dynamical characteristics of thalamocortical cells, such as dynamics of ion channels and membrane potentials, is useful and essential in the study of the thalamus in Parkinsonian state. However, measuring the dynamical properties of ion channels is extremely challenging experimentally and even impossible in clinical applications. This paper presents and evaluates a real-time estimation system for thalamocortical hidden properties. For the sake of efficiency, we use a field programmable gate array for strictly hardware-based computation and algorithm optimization...
January 9, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28062244/identification-of-time-varying-neural-dynamics-from-spike-train-data-using-multiwavelet-basis-functions
#16
Song Xu, Yang Li, Qi Guo, Xiao-Feng Yang, Rosa H M Chan
BACKGROUND: Tracking the changes of neural dynamics based on neuronal spiking activities is a critical step to understand the neurobiological basis of learning from behaving animals. These dynamical neurobiological processes associated with learning are also time-varying, which makes the modeling problem challenging. NEW METHOD: We developed a novel multiwavelet-based time-varying generalized Laguerre-Volterra (TVGLV) modeling framework to study the time-varying neural dynamical systems using natural spike train data...
January 4, 2017: Journal of Neuroscience Methods
https://www.readbyqxmd.com/read/28062203/semi-mechanistic-computer-simulation-of-psychotic-symptoms-in-schizophrenia-with-a-model-of-a-humanized-cortico-striatal-thalamocortical-loop
#17
Athan Spiros, Patrick Roberts, Hugo Geerts
Despite new insights into the pathophysiology of schizophrenia and clinical trials with highly selective drugs, no new therapeutic breakthroughs have been identified. We present a semi-mechanistic Quantitative Systems Pharmacology (QSP) computer model of a biophysically realistic cortical-striatal-thalamo-cortical loop. The model incorporates the direct, indirect and hyperdirect pathway of the basal ganglia and CNS drug targets that modulate neuronal firing, based on preclinical data about their localization and coupling to voltage-gated ion channels...
January 3, 2017: European Neuropsychopharmacology: the Journal of the European College of Neuropsychopharmacology
https://www.readbyqxmd.com/read/28060275/automated-analysis-of-c-elegans-swim-behavior-using-celest-software
#18
Carolina Ibáñez-Ventoso, Christopher Herrera, Esteban Chen, Douglas Motto, Monica Driscoll
Dissecting the neuronal and neuromuscular circuits that regulate behavior remains a major challenge in biology. The nematode Caenorhabditis elegans has proven to be an invaluable model organism in helping to tackle this challenge, from inspiring technological approaches, building the human brain connectome, to actually shedding light on the specific molecular drivers of basic functional patterns. The bulk of the behavioral studies in C. elegans have been performed on solid substrates. In liquid, animals exhibit behavioral patterns that include movement at a range of speeds in 3D, as well as partial body movements, such as a posterior curl without anterior shape change, which introduce new challenges for quantitation...
December 7, 2016: Journal of Visualized Experiments: JoVE
https://www.readbyqxmd.com/read/28059145/a-markov-state-based-quantitative-kinetic-model-of-sodium-release-from-the-dopamine-transporter
#19
Asghar M Razavi, George Khelashvili, Harel Weinstein
The dopamine transporter (DAT) belongs to the neurotransmitter:sodium symporter (NSS) family of membrane proteins that are responsible for reuptake of neurotransmitters from the synaptic cleft to terminate a neuronal signal and enable subsequent neurotransmitter release from the presynaptic neuron. The release of one sodium ion from the crystallographically determined sodium binding site Na2 had been identified as an initial step in the transport cycle which prepares the transporter for substrate translocation by stabilizing an inward-open conformation...
January 6, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28056343/perceptual-decision-making-in-rodents-monkeys-and-humans
#20
REVIEW
Timothy D Hanks, Christopher Summerfield
Perceptual decision making is the process by which animals detect, discriminate, and categorize information from the senses. Over the past two decades, understanding how perceptual decisions are made has become a central theme in the neurosciences. Exceptional progress has been made by recording from single neurons in the cortex of the macaque monkey and using computational models from mathematical psychology to relate these neural data to behavior. More recently, however, the range of available techniques and paradigms has dramatically broadened, and researchers have begun to harness new approaches to explore how rodents and humans make perceptual decisions...
January 4, 2017: Neuron
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