Serial Spike Time Correlations Affect Probability Distribution of Joint Spike Events
نویسندگان
چکیده
منابع مشابه
Serial Spike Time Correlations Affect Probability Distribution of Joint Spike Events
Detecting the existence of temporally coordinated spiking activity, and its role in information processing in the cortex, has remained a major challenge for neuroscience research. Different methods and approaches have been suggested to test whether the observed synchronized events are significantly different from those expected by chance. To analyze the simultaneous spike trains for precise spi...
متن کاملImpact of Spike Train Autostructure on Probability Distribution of Joint Spike Events
The discussion whether temporally coordinated spiking activity really exists and whether it is relevant has been heated over the past few years. To investigate this issue, several approaches have been taken to determine whether synchronized events occur significantly above chance, that is, whether they occur more often than expected if the neurons fire independently. Most investigations ignore ...
متن کاملJoint probability-based neuronal spike train classification
Neuronal spike trains are used by the nervous system to encode and transmit information. Euclidean distance-basedmethods (EDBMs) have been applied to quantify the similarity between temporally-discretized spike trains and model responses. In this study, using the same discretization procedure, we developed and applied a joint probability-based method (JPBM) to classify individual spike trains o...
متن کاملCharacteristics of night-time absorption spike events
Sudden increases in cosmic radio noise absorption, known as spike events, have been identified as signatures of substorms in the previous studies. Using data from the IRIS (Imaging Riometer for Ionospheric Studies) at Kilpisjärvi, Finland (L ∼6) more than 450 night-time spike events between 1994 and 2003 have been identified. Spike events fall into four distinct categories based on their struct...
متن کاملA Spike-Train Probability Model
Poisson processes usually provide adequate descriptions of the irregularity in neuron spike times after pooling the data across large numbers of trials, as is done in constructing the peristimulus time histogram. When probabilities are needed to describe the behavior of neurons within individual trials, however, Poisson process models are often inadequate. In principle, an explicit formula give...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Computational Neuroscience
سال: 2016
ISSN: 1662-5188
DOI: 10.3389/fncom.2016.00139