Predictive coding theories posit that neural networks learn statistical regularities in the
environment for comparison with actual outcomes, signaling a prediction error (PE) when sensory …

Background Different types of bioabsorbable and nonresorbable membranes have been
widely used for guided tissue regeneration (GTR) with its ultimate goal of regenerating lost …

It is crucial to understand what brain signals can be decoded from single trials with different
recording techniques for the development of Brain–Machine Interfaces. A specific challenge …

Redundancy resolution of redundantly actuated cable-driven parallel robots (CDPRs) requires
the computation of feasible and continuous cable tension distributions along a trajectory. …

Aim The objective of this study was to investigate whether the response to periodontal treatment
differs among obese, overweight or normal‐weight patients. Materials & Methods Both …

Recent studies indicate that nanocrystalline hydroxyapatite (nano-HA) paste represents a
promising class of bone graft substitute. However, the underlying molecular mechanisms of …

Similar to osteogenesis and bone repair, the healing and osteogenesis of bone substitutes
depend on the osteogenesis–angiogenesis interplay which is controlled by different factors, …

Objective. Convolutional neural networks (CNNs) have proven successful as function
approximators and have therefore been used for classification problems including …

To test the probable osteoinductive properties of NanoBone, a new highly non-sintered
porous nano-crystalline hydroxylapatite bone substitute embedded into a silica gel matrix, …

Predictive coding (PC) has been suggested as one of the main mechanisms used by brains
to interact with complex environments. PC theories posit top-down prediction signals, which …