Unsupervised neuron spike decoding for macaque's finger position via EM algorithm

2017 ◽  
Author(s):  
Minglong Xue ◽  
Haifeng Wu ◽  
Yu Zeng ◽  
Yan Li
Keyword(s):  
Em Algorithm ◽  
Finger Position ◽  
Neuron Spike

Joint Signal Detection and Channel Estimation Using Differential Models via EM Algorithm for OFDM Mobile Communications

2011 ◽  
Vol E94-B (2) ◽  
pp. 533-545 ◽  
Author(s):  
Kazushi MURAOKA ◽  
Kazuhiko FUKAWA ◽  
Hiroshi SUZUKI ◽  
Satoshi SUYAMA
Keyword(s):  
Channel Estimation ◽  
Em Algorithm ◽  
Signal Detection ◽  
Mobile Communications

Identification of switched nonlinear systems based on EM algorithm

2020 ◽  
Author(s):  
Chai Xiujun ◽  
Wang Hongwei ◽  
Wang Lin ◽  
Xiao Zhengqing
Keyword(s):  
Nonlinear Systems ◽  
Em Algorithm ◽  
Switched Nonlinear Systems

EVM: Speeding Up the EM Algorithm

2020 ◽  
Author(s):  
Mark Britten-Jones
Keyword(s):  
Em Algorithm ◽  
The Em Algorithm

scholarly journals Information diversity in individual auditory cortical neurons is associated with functionally distinct coordinated neuronal ensembles

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jermyn Z. See ◽  
Natsumi Y. Homma ◽  
Craig A. Atencio ◽  
Vikaas S. Sohal ◽  
Christoph E. Schreiner
Keyword(s):  
Cortical Neurons ◽  
Single Neuron ◽  
Receptive Fields ◽  
Acoustic Feature ◽  
Neuronal Ensembles ◽  
Neuron Spike ◽  
Information Diversity ◽  
Feature Selectivity ◽  
Stimulus Features ◽  
Time Specific

AbstractNeuronal activity in auditory cortex is often highly synchronous between neighboring neurons. Such coordinated activity is thought to be crucial for information processing. We determined the functional properties of coordinated neuronal ensembles (cNEs) within primary auditory cortical (AI) columns relative to the contributing neurons. Nearly half of AI cNEs showed robust spectro-temporal receptive fields whereas the remaining cNEs showed little or no acoustic feature selectivity. cNEs can therefore capture either specific, time-locked information of spectro-temporal stimulus features or reflect stimulus-unspecific, less-time specific processing aspects. By contrast, we show that individual neurons can represent both of those aspects through membership in multiple cNEs with either high or absent feature selectivity. These associations produce functionally heterogeneous spikes identifiable by instantaneous association with different cNEs. This demonstrates that single neuron spike trains can sequentially convey multiple aspects that contribute to cortical processing, including stimulus-specific and unspecific information.

Estimation and identification of time-varying long-term fading channels via the particle filter and the EM algorithm

2011 ◽  
Author(s):  
Xiao Ma ◽  
Mohammed M. Olama ◽  
Seddik M. Djouadi ◽  
Charalambos D. Charalambous
Keyword(s):  
Em Algorithm ◽  
Particle Filter ◽  
Fading Channels ◽  
Time Varying ◽  
The Em Algorithm
Sign in / Sign up

Export Citation Format

Share Document