Results 111 to 120 of about 29,292 (141)

Synchrony detection in neural assemblies

Biological Cybernetics, 1994
The identification of synchronously active neural assemblies in simultaneous recordings of neuron activities is an important research issue and a difficult algorithmic problem. A gravitational analysis method has been developed to detect and identify groups of neurons that tend to generate action potentials in near-synchrony from among a larger ...
openaire   +3 more sources

Neural Computing with Concurrent Synchrony

2014
Neural networks are important modeling tools to implement intelligent behaviour in a wide variety of phenomena. We introduce the concept of concurrent synchrony in spikes to enable the efficient representation of neural networks to process sensory stimuli.
Victor Parque, Masakazu Kobayashi, Masatake Higashi   +2 more
openaire   +1 more source

Dynamics of neural populations: Stability and synchrony

Network: Computation in Neural Systems, 2006
A population formulation of neuronal activity is employed to study an excitatory network of (spiking) neurons receiving external input as well as recurrent feedback. At relatively low levels of feedback, the network exhibits time stationary asynchronous behavior.
Lawrence, Sirovich, Ahmet, Omurtag, Kip, Lubliner   +2 more
openaire   +2 more sources

Synchrony and Asynchrony in a Fully Stochastic Neural Network

Bulletin of Mathematical Biology, 2008
We describe and analyze a model for a stochastic pulse-coupled neural network, in which the randomness in the model corresponds to synaptic failure and random external input. We show that the network can exhibit both synchronous and asynchronous behavior, and surprisingly, that there exists a range of parameters for which the network switches ...
Deville, R. E. Lee, Peskin, Charles S.
openaire   +2 more sources

From Synchrony to Harmony: Ideas on the Function of Neural Assemblies and on the Interpretation of Neural Synchrony

1986
Point of departure are experimental data acquired by simultaneous recording of the activity of a number (2–16) of individual neurons during presentation of a sensory stimulus. The area under investigation is the auditory midbrain (Torus semicircularis) of the immobilized grassfrog (Rana temporaria L.).
Johannesma, P., Aertsen, A., Van Den Boogaard, H., Eggermont, J., Epping, W.   +4 more
openaire   +2 more sources

Assessing Neural Synchrony in Tutoring Dyads

2014
The current study examined synchronous psychophysiological monitoring across a tutor and tutee during a spatial reasoning video game, Tetris®. We hypothesized that increased synchrony across tutor-tutee would correlate with increased performance (i.e. increased learning.
Bradly Stone, Anna Skinner, Maja Stikic, Robin Johnson   +3 more
openaire   +1 more source

Neural Synchrony as a Binding Mechanism

2001
Binding operations, the dynamic establishment of semantic relations between distributed computational results, are key functions of cognitive processes in the brain. A common binding strategy is anatomical convergence of feature-encoding neurons onto conjunction-specific cells that respond only if the respective constellation of features is present. It
openaire   +2 more sources

The loss of neural synchrony in the post septic brain

Clinical Neurophysiology, 2016
Survivors of sepsis often develop long-term neuropsychological malfunctions, which can be reversible to a certain extent. The following study aimed to investigate whether this recovery is due to a loss in neural synchrony by regarding the response to a given frequency.Magnetoencephalography measurements were conducted in 36 survivors of severe sepsis ...
Götz, Theresa, Baumbach, Philipp, Reuken, Philipp, Huonker, Ralph, Kranczioch, Cornelia, Debener, Stefan, Brunkhorst, Frank, Witte, Otto, Klingner, Carsten, Günther, Albrecht   +9 more
openaire   +2 more sources

Feedback suppression of neural synchrony

AIP Conference Proceedings, 2007
A method for suppression of collective synchrony in a population of globally coupled units is presented. The desynchronization is achieved by organizing an interaction between the ensemble and a passive oscillator; this is accomplished by a feedback technique.
Natalia Tukhlina, Arkady Pikovsky, Jürgen Kurths, Michael Rosenblum   +3 more
openaire   +1 more source

Neural synchrony correlates with surface segregation rules

Nature, 2000
To analyse an image, the visual system must decompose the scene into its relevant parts. Identifying distinct surfaces is a basic operation in such analysis, and is believed to precede object recognition. Two superimposed gratings moving in different directions (plaid stimuli) may be perceived either as two surfaces, one being transparent and sliding ...
M, Castelo-Branco, R, Goebel, S, Neuenschwander, W, Singer   +3 more
openaire   +2 more sources