Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …

This review provides an update on Neurorepresentationalism, a theoretical framework that
defines conscious experience as multimodal, situational survey and explains its neural basis …

There are three neural feedback pathways to the primary visual cortex (V1): corticocortical,
pulvinocortical, and cholinergic. What are the respective functions of these three …

In today's society, it becomes increasingly important to assess which non-human and non-
verbal beings possess consciousness. This review article aims to delineate criteria for …

Recognising familiar places is a competence required in many engineering applications that
interact with the real world such as robot navigation. Combining information from different …

Predictive coding provides a computational paradigm for modeling perceptual processing as
the construction of representations accounting for causes of sensory inputs. Here, we …

Predictive coding, currently a highly influential theory in neuroscience, has not been widely
adopted in machine learning yet. In this work, we transform the seminal model of Rao and …

The ability to navigate effectively in a rich and complex world is crucial for the survival of all
animals. Specialist neural structures have evolved that are implicated in facilitating this …

This paper proposed a short-term two-stage hybrid algorithmic framework for trade and trend
analysis of the Forex market by augmenting the currency pair datasets with transformed …

Motivated by the recent progress of deep spiking neural networks (SNNs), we propose a
structure–time parallel strategy based on layered structure and one-time computation over a …