期刊： NEURAL COMPUTATION, 2023; 35 (5)
Visual navigation involves a movable robotic agent striving to reach a point goal (target location) using vision sensory input. While navigation with ......
期刊： NEURAL COMPUTATION, 2023; 35 (7)
For predictive evaluation based on quasi-posterior distributions, we develop a new information criterion, the posterior covariance information criteri......
期刊： NEURAL COMPUTATION, 2023; 35 (6)
We study the problem of hyperparameter tuning in sparse matrix factorization under a Bayesian framework. In prior work, an analytical solution of spar......
期刊： NEURAL COMPUTATION, 2023; 36 (1)
A hypothesis in the study of the brain is that sparse coding is realized in information representation of external stimuli, which has been experimenta......
期刊： NEURAL COMPUTATION, 2023; 36 (1)
Under difficult viewing conditions, the brain's visual system uses a variety of recurrent modulatory mechanisms to augment feedforward processing. One......
期刊： NEURAL COMPUTATION, 2023; 35 (5)
The binary classification problem has a situation where only biased data are observed in one of the classes. In this letter, we propose a new method t......
期刊： NEURAL COMPUTATION, 2023; 35 (5)
Hebb's learning traces its origin in Pavlov's classical conditioning; however, while the former has been extensively modeled in the past decades (e.g.......
期刊： NEURAL COMPUTATION, 2023; 35 (12)
Hyperdimensional computing (HDC) has become popular for light-weight and energy-efficient machine learning, suitable for wearable Internet-of-Things d......
期刊： NEURAL COMPUTATION, 2023; 35 (4)
Capsule networks (see Hinton et al., 2018) aim to encode knowledge of and reason about the relationship between an object and its parts. In this lette......
期刊： NEURAL COMPUTATION, 2023; 35 (4)
Deep brain stimulation (DBS) is a widely accepted treatment for the Parkinson's disease (PD). Traditionally, it is done in an open-loop manner, where ......
期刊： NEURAL COMPUTATION, 2023; 35 (8)
Modern data analytics applications are increasingly characterized by exceedingly large and multidimensional data sources. This represents a challenge ......
期刊： NEURAL COMPUTATION, 2023; 35 (12)
Prior applications of the cerebellar adaptive filter model have included a range of tasks within simulated and robotic systems. However, this has been......
期刊： NEURAL COMPUTATION, 2023; 35 (11)
Neural activity in the brain exhibits correlated fluctuations that may strongly influence the properties of neural population coding. However, how suc......
期刊： NEURAL COMPUTATION, 2023; 35 (7)
Gradient descent methods are simple and efficient optimization algorithms with widespread applications. To handle high-dimensional problems, we study ......
期刊： NEURAL COMPUTATION, 2023; 35 (9)
Understanding the effect of spike-timing-dependent plasticity (STDP) is key to elucidating how neural networks change over long timescales and to desi......
