Results 61 to 70 of about 52,867 (269)

Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon   +12 more
wiley   +1 more source

Building Logistic Spiking Neuron Models Using Analytical Approach

open access: yesIEEE Access, 2019
Spiking neuron models are inspired by biological neurons. They can simulate the neuronal activities of the mammalian brains, such as spiking (integrator) and periodic oscillation (resonator).
Lei Zhang
doaj   +1 more source

Transition to chaos in random neuronal networks

open access: yes, 2015
Firing patterns in the central nervous system often exhibit strong temporal irregularity and heterogeneity in their time averaged response properties. Previous studies suggested that these properties are outcome of an intrinsic chaotic dynamics.
Kadmon, Jonathan, Sompolinsky, Haim
core   +2 more sources

A Comprehensive Overview of the Clinical, Electrophysiological, and Neuroimaging Features of BPAN: Insights From a New Case Series

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Neurodegeneration with brain iron accumulation (NBIA) comprises a genetically and clinically heterogeneous group of rare neurological disorders characterized particularly by iron accumulation in the basal ganglia. To date, 15 genes have been associated with NBIA.
Seda Susgun   +95 more
wiley   +1 more source

Co-learning synaptic delays, weights and adaptation in spiking neural networks

open access: yesFrontiers in Neuroscience
Spiking neural network (SNN) distinguish themselves from artificial neural network (ANN) because of their inherent temporal processing and spike-based computations, enabling a power-efficient implementation in neuromorphic hardware.
Lucas Deckers   +4 more
doaj   +1 more source

Sustained oscillations, irregular firing and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell types

open access: yesFrontiers in Computational Neuroscience, 2014
The cerebral cortex exhibits neural activity even in the absence of externalstimuli. This self-sustained activity is characterized by irregular firing ofindividual neurons and population oscillations with a broad frequency range.Questions that arise in ...
Petar eTomov   +3 more
doaj   +1 more source

Nanodiamonds-induced effects on neuronal firing of mouse hippocampal microcircuits [PDF]

open access: yes, 2018
Fluorescent nanodiamonds (FND) are carbon-based nanomaterials that can efficiently incorporate optically active photoluminescent centers such as the nitrogen-vacancy complex, thus making them promising candidates as optical biolabels and drug-delivery ...
Battiato, A.   +14 more
core   +4 more sources

Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz   +3 more
wiley   +1 more source

Quadratic programming by spiking neuronal networks [PDF]

open access: yesBMC Neuroscience, 2014
What type of computations can neuronal networks perform? One could reasonable argue that neuronal networks should be able to solve “all” computational problems of interest, as our brain is made of those networks. However, finding specific non-trivial and interesting examples of neuronal networks that solve a particular computational problem has been ...
Moreno-Bote, Rubén, Schustek, Philipp
openaire   +1 more source

Mapping cortical mesoscopic networks of single spiking cortical or sub-cortical neurons

open access: yeseLife, 2017
Understanding the basis of brain function requires knowledge of cortical operations over wide-spatial scales, but also within the context of single neurons.
Dongsheng Xiao   +8 more
doaj   +1 more source

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