Results 91 to 100 of about 52,867 (269)
Nonperiodic Synchronization in Heterogeneous Networks of Spiking Neurons [PDF]
The Journal of Neuroscience, 2008 Neural synchronization is of wide interest in neuroscience and has been argued to form the substrate for conscious attention to stimuli, movement preparation, and the maintenance of task-relevant representations in active memory. Despite a wealth of possible functions, the mechanisms underlying synchrony are still poorly understood.
Jean-Philippe, Thivierge, Paul, Cisek
openaire +2 more sources
Focal cortical lesions induce bidirectional changes in the excitability of fast spiking and non fast spiking cortical interneurons. [PDF]
PLoS ONE, 2014 A physiological brain function requires neuronal networks to operate within a well-defined range of activity. Indeed, alterations in neuronal excitability have been associated with several pathological conditions, ranging from epilepsy to ...
Barbara Imbrosci +2 more
doaj +1 more source
Signal processing in local neuronal circuits based on activity-dependent noise and competition
, 2009 We study the characteristics of weak signal detection by a recurrent neuronal network with plastic synaptic coupling. It is shown that in the presence of an asynchronous component in synaptic transmission, the network acquires selectivity with respect to
Andersen P. +7 more
core +1 more source
Advanced Functional Materials, EarlyView.Thermoelectric temperature sensors are developed that directly measure heat changes during optical‐based neural stimulation with millisecond precision. The sensors reveal the temperature windows for safe reversible neural modulation: 1.4–4.5 °C enables reversible neural inhibition, while temperatures above 6.1 °C cause permanent thermal damage.
Junhee Lee +9 more
wiley +1 more source
The Geometry of Spontaneous Spiking in Neuronal Networks [PDF]
Journal of Nonlinear Science, 2012 The mathematical theory of pattern formation in electrically coupled networks of excitable neurons forced by small noise is presented in this work. Using the Freidlin-Wentzell large deviation theory for randomly perturbed dynamical systems and the elements of the algebraic graph theory, we identify and analyze the main regimes in the network dynamics ...
Medvedev, Georgi S. +1 more
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Advanced Functional Materials, EarlyView.A W/NbOx/Pt memristor demonstrates the coexistence of volatile, non‐volatile, and threshold switching characteristics. Volatile switching serves as a reservoir computing layer, providing dynamic short‐term processing. Non‐volatile switching, stabilized through ISPVA, improves reliable long‐term readout. Threshold switching operates as a leaky integrate
Ungbin Byun, Hyesung Na, Sungjun Kim
wiley +1 more source
Abeta(1-42) Enhances Neuronal Excitability in the CA1 via NR2B Subunit-Containing NMDA Receptors
Neural Plasticity, 2014 Neuronal hyperexcitability is a phenomenon associated with early Alzheimer’s disease. The underlying mechanism is considered to involve excessive activation of glutamate receptors; however, the exact molecular pathway remains to be determined ...
Edina Varga +5 more
doaj +1 more source
Emergent properties of interacting populations of spiking neurons
Frontiers in Computational Neuroscience, 2011 Dynamic neuronal networks are a key paradigm of increasing importance in brain research, concerned with the functional analysis of biological neuronal networks and, at the same time, with the synthesis of artificial brain-like systems.
Stefano eCardanobile, Stefan eRotter
doaj +1 more source
Advanced Functional Materials, EarlyView.A van der Waals optoelectronic synaptic device based on a ReS2/WSe2 heterostructure and oxygen‐treated h‐BN is presented, which enables both positive and negative PSCs through photocarrier polarity reversal. Bidirectional plasticity arises from gate‐tunable band bending and charge trapping‐induced quasi‐doping.
Hyejin Yoon +9 more
wiley +1 more source
Power-law statistics and universal scaling in the absence of criticality
, 2017 Critical states are sometimes identified experimentally through power-law statistics or universal scaling functions. We show here that such features naturally emerge from networks in self-sustained irregular regimes away from criticality.
Destexhe, Alain, Touboul, Jonathan
core +3 more sources