Results 141 to 150 of about 105,246 (202)

A sticky Poisson Hidden Markov Model for solving the problem of over-segmentation and rapid state switching in cortical datasets. [PDF]

PLoS One
Li T, Camera G.
europepmc   +1 more source

Dynamic reconfiguration and transition of whole-brain networks in patients with MELAS revealed by a hidden Markov model. [PDF]

Front Neurol
Yu Q, Wang R, Sun C, Hu B, Liu X, Yang L, Lin J, Geng D, Li Y.   +8 more
europepmc   +1 more source

Graph models of brain state in deep anesthesia reveal sink state dynamics of reduced spatiotemporal complexity. [PDF]

Netw Neurosci
Wilsenach JB, Deane CM, Reinert G, Warnaby K.   +3 more
europepmc   +1 more source

Fold-Switching Proteins. [PDF]

Annu Rev Biophys
Chakravarty D, Porter LL.
europepmc   +1 more source

HMM for discovering decision-making dynamics using reinforcement learning experiments. [PDF]

Biostatistics
Guo X, Zeng D, Wang Y.
europepmc   +1 more source

Sensor Fault Detection and Reliable Control of Singular Stochastic Systems with Time-Varying Delays. [PDF]

Sensors (Basel)
Shi Y, Yang H, Liu G, He X, Wang J.
europepmc   +1 more source

Cell State Transitions Drive the Evolution of Disease Progression in B-Lymphoblastic Leukemia. [PDF]

Cancer Res Commun
Gravenmier C, Marzban S, Tang YH, Gillis N, Shah BD, Moscinski LC, Zhang L, West J.   +7 more
europepmc   +1 more source

Further assessment of a model of changeover behavior: Implications for the matching law. [PDF]

J Exp Anal Behav
Avellaneda MA, Shahan TA.
europepmc   +1 more source

Long-Term Safety Evaluations in the Presence of Switching: Evaluation of Two Approaches. [PDF]

Pharm Stat
Schmeller S, Izem R, Romero PL, Jehl V.
europepmc   +1 more source

Depression links to unstable resting-state brain dynamics: insights from hidden markov models and functional network variability. [PDF]

Psychol Med
Geng L, Feng Q, Wang X, Sun J, Tang S, Jia H, Li Y, Qiu J.   +7 more
europepmc   +1 more source