Search Results for author:
Found 6 papers, 3 papers with code
Bayesian inference is facilitated by modular neural networks with different time scales
In performing Bayesian inference, the prior distribution must be shaped by sampling noisy external inputs.
MFR 2021: Masked Face Recognition Competition
These teams successfully submitted 18 valid solutions.
Dynamical Mechanism of Sampling-based Stochastic Inference under Probabilistic Population Codes
As a result, it was found that sampling in RNN is performed by a mechanism that efficiently utilizes the properties of dynamical systems, unlike FFNN.
BAT AGN Spectroscopic Survey-XXIII. A New Mid-Infrared Diagnostic for Absorption in Active Galactic Nuclei
In this study, we use the SWIFT/BAT AGN sample, which has received extensive multiwavelength follow-up analysis as a result of the BAT AGN Spectroscopic Survey (BASS), to develop a diagnostic for nuclear obscuration by examining the relationship between the line-of-sight column densities ($N_{\rm{H}}$), the 2-10 keV-to-$12\,\rm{\mu m}$ luminosity ratio, and WISE mid-infrared colors.
Astrophysics of Galaxies
Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution
Empirical Dynamic Modeling (EDM) is a nonlinear time series causal inference framework.
Short term memory by transient oscillatory dynamics in recurrent neural networks
By training recurrent neural networks to short-term memory tasks and analyzing the dynamics, the characteristics of the short-term memory mechanism were obtained in which the input information was encoded in the amplitude of transient oscillations, rather than the stationary neural activities.
