Predictive coding is a leading theory of how the brain performs probabilistic inference.
However, there are a number of distinct algorithms which are described by the term …

To make sense of the world around us, we must be able to segment a continual stream of
sensory inputs into discrete events. In this review, I propose that in order to comprehend …

This paper describes novel event-based spatio-temporal features called time-surfaces and
how they can be used to create a hierarchical event-based pattern recognition architecture …

The lateral geniculate nucleus (LGN) has often been treated in the past as a linear filter that
adds little to retinal processing of visual inputs. Here we review anatomical …

Unsupervised feature extraction algorithms form one of the most important building blocks in
machine learning systems. These algorithms are often adapted to the event-based domain …

Event cameras sense changes in light intensity and record them as an asynchronous event
stream. Efficiently encoding and learning spatiotemporal information of the event streams …

The projections between the thalamus and primary visual cortex (V1) are a key reciprocal
neural circuit, relaying retinal signals to cortical layers 4 & 6 while being simultaneously …

Regardless of the marvels brought by the conventional frame‐based cameras, they have
significant drawbacks due to their redundancy in data and temporal latency. This causes …

Predictive coding (PC) is a leading theory of cortical function that has previously been
shown to explain a great deal of neurophysiological and psychophysical data. Here it is …

Increasing evidence supports the hypothesis that the visual system employs a sparse code
to represent visual stimuli, where information is encoded in an efficient way by a small …