The following pages link to (Q3503430):
Displaying 34 items.
- Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations (Q309602) (← links)
- The modular modality frame model: continuous body state estimation and plausibility-weighted information fusion (Q353875) (← links)
- Bayesian models of brain and behaviour (Q355928) (← links)
- Modeling neural activity (Q355963) (← links)
- Coherent infomax as a computational goal for neural systems (Q535580) (← links)
- Bayesian optimal control for a non-autonomous stochastic discrete time system (Q668862) (← links)
- A tutorial on Bayesian models of perception (Q894106) (← links)
- Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation (Q1980397) (← links)
- Robust estimation of Gaussian linear structural equation models with equal error variances (Q2089023) (← links)
- Identifiability of Gaussian linear structural equation models with homogeneous and heterogeneous error variances (Q2131903) (← links)
- Deep active inference as variational policy gradients (Q2197091) (← links)
- Computational Modeling of Neural Activities for Statistical Inference (Q2799545) (← links)
- A common network architecture efficiently implements a variety of sparsity-based inference problems (Q2840897) (← links)
- Multinomial Bayesian learning for modeling classical and nonclassical receptive field properties (Q2919433) (← links)
- A New Type of Neural Computation (Q3054005) (← links)
- Bayes-Optimal Chemotaxis (Q3083628) (← links)
- Bayesian Filtering in Spiking Neural Networks: Noise, Adaptation, and Multisensory Integration (Q3628012) (← links)
- (Q4558563) (← links)
- Whence the Expected Free Energy? (Q5004305) (← links)
- What Does the Central Limit Theorem Have to Say About General Relativity? (Q5011830) (← links)
- Predictive Coding, Variational Autoencoders, and Biological Connections (Q5037129) (← links)
- Bayesian Brains and the Rényi Divergence (Q5081134) (← links)
- Multiple Timescale Online Learning Rules for Information Maximization with Energetic Constraints (Q5154156) (← links)
- Active Inference, Belief Propagation, and the Bethe Approximation (Q5157239) (← links)
- Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures (Q5157281) (← links)
- (Q5214180) (← links)
- Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach (Q5214369) (← links)
- Emergence of Optimal Decoding of Population Codes Through STDP (Q5378197) (← links)
- An Empirical Model for Reliable Spiking Activity (Q5380296) (← links)
- Bayesian Inference and Online Learning in Poisson Neuronal Networks (Q5380551) (← links)
- Implementing a Bayes Filter in a Neural Circuit: The Case of Unknown Stimulus Dynamics (Q5382483) (← links)
- Advances in Neural Networks – ISNN 2005 (Q5706952) (← links)
- Designing neural networks that process mean values of random variables (Q5964310) (← links)
- Bayesian prediction of psychophysical detection responses from spike activity in the rat sensorimotor cortex (Q6172481) (← links)
