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Neuronal Networks

A multiple recording patch clamp chip with integrated subterranean microfluidic channels for cultured neuronal networks

A multiple recording patch clamp chip with integrated subterranean microfluidic channels for cultured neuronal networks

... ELECTROPHYSIOLOGICAL MONITORING OF BRAIN MODELS In-vitro models are used extensively to study the molecular mechanisms that regulate the transmission and processing of information in the brain through synaptic ...

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Linear response in neuronal networks: from neurons dynamics to collective response

Linear response in neuronal networks: from neurons dynamics to collective response

... another neuronal network ? Even if this question is far from being resolved, there exist success- ful methods and strategies providing partial ...Although neuronal networks are outside the classical ...

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Decreased spontaneous electrical activity in neuronal networks exposed to radiofrequency 1800 MHz signals

Decreased spontaneous electrical activity in neuronal networks exposed to radiofrequency 1800 MHz signals

... Decreased spontaneous electrical activity in neuronal networks exposed to radiofrequency 1800 MHz signals... ABSTRACT.[r] ...

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Linear response for spiking neuronal networks with unbounded memory

Linear response for spiking neuronal networks with unbounded memory

... Memory Neuronal networks can be considered either as dynamical systems (when the dynam- ics is known) or as spike generating processes characterized by transition probabilities computed from spike train ...

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Linear response for spiking neuronal networks with unbounded memory

Linear response for spiking neuronal networks with unbounded memory

... Bruno Cessac Linear response for spiking neuronal networks with unbounded memory.. Context Question Method Results Conclusions.. From spiking neurons dynamics to linear response?[r] ...

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Neuronal networks, spike trains statistics and Gibbs distributions

Neuronal networks, spike trains statistics and Gibbs distributions

... endows neuronal networks with the flexibility to continuously remodel and explore large regions of parameter space without compromising stability and ...

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Beyond blow-up in excitatory integrate and fire neuronal networks: refractory period and spontaneous activity

Beyond blow-up in excitatory integrate and fire neuronal networks: refractory period and spontaneous activity

... several neuronal networks models: systems of coupled nonlinear oscillators [1], inhibitory NNLIF with synaptic integration [4], excitatory-inhibitory coupled NNLIF [3], Fokker-Planck equations for uncoupled ...

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Dynamical properties of fMRI functional connectivity in neuronal networks mediating consciousness

Dynamical properties of fMRI functional connectivity in neuronal networks mediating consciousness

... in neuronal networks mediating consciousness Rapha¨el Li´egeois 1 , Mohamed Bahri 2 , Mattia Zorzi 1,3 , Steven Laureys 2 and Rodolphe Sepulchre 1,3 1 Department of Electrical Engineering and Computer ...

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Patterned neuronal networks using nanodiamonds and the effect of varying nanodiamond properties on neuronal adhesion and outgrowth

Patterned neuronal networks using nanodiamonds and the effect of varying nanodiamond properties on neuronal adhesion and outgrowth

... functional neuronal networks even in the absence of the otherwise prerequisite procedure of laminating culture surfaces with adhesion promoting extracellular matrix (ECM) proteins ...support neuronal ...

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Computational Modeling of Seizure Dynamics Using Coupled Neuronal Networks: Factors Shaping Epileptiform Activity

Computational Modeling of Seizure Dynamics Using Coupled Neuronal Networks: Factors Shaping Epileptiform Activity

... although neuronal networks exhibit interictal-like activity [ 38 ], there are no spontaneous ...coupled neuronal population dynamics relayed by the slow permittivity ...

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Mathematical modeling in neuroscience : collective behavior of neuronal networks & the role of local homeoproteins diffusion in morphogenesis

Mathematical modeling in neuroscience : collective behavior of neuronal networks & the role of local homeoproteins diffusion in morphogenesis

... 2.6.4 Perspectives The course of our developments lead us to cast aside the assumption of full connectivity or exchange- ability between neurons. Incidentally, this work therefore shows that the notion of ...

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Event-Scheduling Algorithms with Kalikow Decomposition for Simulating Potentially Infinite Neuronal Networks

Event-Scheduling Algorithms with Kalikow Decomposition for Simulating Potentially Infinite Neuronal Networks

... Abstract: Event-scheduling algorithms can compute in continuous time the next occurrence of points (as events) of a counting process based on their current conditional intensity. In particular event-scheduling algorithms ...

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Patch-clamp array neurochips : Value in interrogating simple neuronal networks with high resolution

Patch-clamp array neurochips : Value in interrogating simple neuronal networks with high resolution

... We are developing planar patch-clamp array technology in an attempt to combine key benefits of both conventional patch-clamp and MEAs on a chip [10,101] . The concept enables simultaneous high-resolution patch-clamp ...

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Synchrotron X-ray interlaced microbeams suppress paroxysmal oscillations in neuronal networks initiating generalized epilepsy.

Synchrotron X-ray interlaced microbeams suppress paroxysmal oscillations in neuronal networks initiating generalized epilepsy.

... Despite these alterations in their passive membrane properties, irradiated neurons were still capable to fire action potentials similar to those of homologous neurons in non-irradiated rats. This is consistent with the ...

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Dynamics of neuronal networks

Dynamics of neuronal networks

... I.2. SIMPLIFIED SINGLE NEURON MODELS 11 variable onset potential, cannot be described by the single compartment HH model. One hypothesis that was suggested was that these behaviours can be reproduced by cooperative ...

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en fr Mathematical models for the study of synchronization phenomena in neuronal networks Modèles mathématiques pour l'étude des phénomènes de synchronisation dans les réseaux neuronaux

... CHAPTER 5 An Ornstein Uhlenbeck process with jumps as a neuronal model R´ esum´ e Le chapitre 5 ´etudie le mod`ele de saut-diffusion dans lequel la diffu- sion est donn´ee par un processus d’Ornstein Uhlenbeck. ...

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Particle systems with a singular mean-field self-excitation. Application to neuronal networks.

Particle systems with a singular mean-field self-excitation. Application to neuronal networks.

... Making use of the Skorohod M1 topology, we prove that, for the right notion of a ‘physical’ solution, the nonlinear equation can be approximated either by a finite particle system or by [r] ...

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Ion channels and properties of large neuronal networks: a computational study of re.nal waves during development

Ion channels and properties of large neuronal networks: a computational study of re.nal waves during development

... iii) Pharmacology.. 12 12 Experiments for the emergence of retinal waves Experiment for isolated neurons, Zheng et al., 2006, Nature Retinal waves require three components: i) Spo[r] ...

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Synchronization, stochasticity and phase waves in neuronal networks with spatially-structured connectivity

Synchronization, stochasticity and phase waves in neuronal networks with spatially-structured connectivity

... Our application of this methodology provides a description of spatially-structured networks with a local oscillatory dynamics in the SSO regime, based on E-I recurrent interactions. Our first general finding is ...

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Modeling driver cells in developing neuronal networks

Modeling driver cells in developing neuronal networks

... excitatory networks [ 12 ], the syn- chronized dynamics of the present network, composed of excitatory and inhibitory neurons, is less vulnerable to targeted attacks to the hubs [ 46 , 47 ...

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