![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Dynamical Graph Echo State Networks with Snapshot Merging for Spreading Process Classification
The Spreading Process Classification (SPC) is a popular application of temporal graph classification. The aim of SPC is to classify different spreading patterns of information or pestilence within a community ...
-
Chapter and Conference Paper
An Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data
With the development of Continuous Blood Pressure (CBP) monitoring devices, we can collect real-time blood pressure non-invasively and accurately. Since CBP data can reflect the unique dynamical characteristic...
-
Article
Open AccessReproducing Infra-Slow Oscillations with Dopaminergic Modulation
In the human brain, billions of neurons construct a neural network via synaptic connections. Neuronal excitation and inhibition are transmitted to other neurons through synapses via neurotransmitters. Dopamine...
-
Chapter and Conference Paper
Identification of Neural Network Structure from Multiple Spike Sequences
In this paper, we propose a new estimation method of direction of the connectivity between neurons in neural network only from multiple spike sequences. The proposed method is based on the spike time metric, o...
-
Article
Trial-to-trial variability and its influence on higher-order statistics
Firing patterns of neurons are highly variable from trial to trial, even when we record a well-specified neuron exposed to identical stimuli under the same experimental conditions. The trial-to-trial variabili...
-
Chapter and Conference Paper
Interspike Interval Statistics Obtained from Non-homogeneous Gamma Spike Generator
The lengths of interspike intervals between two successive spikes in a neural spike train often vary both within and across trials. In order to describe and analyze neuronal firing, statistical models and meth...
-
Article
Classification of the spike sequences by distinguishing their sources of temporal correlations
Irregular spike sequences of the cerebral cortex in vivo have been observed in numerous previous studies. These spike sequences generally differ from an entirely random sequence, and exhibit temporal correlati...