Learning to use an invisible visual signal for perception

How does the brain construct a percept from sensory signals? One approach to this fundamental question is to investigate perceptual learning as induced by exposure to statistical regularities in sensory signals [1-7]. Recent studies showed that exposure to novel correlations between sensory signals can cause a signal to have new perceptual effects [2, 3]. In those studies, however, the signals were clearly visible. The automaticity of the learning was therefore difficult to determine. Here we investigate whether learning of this sort, which causes new effects on appearance, can be low level and automatic by employing a visual signal whose perceptual consequences were made invisible-a vertical disparity gradient masked by other depth cues. This approach excluded high-level influences such as attention or consciousness. Our stimulus for probing perceptual appearance was a rotating cylinder. During exposure, we introduced a new contingency between the invisible signal and the rotation direction of the cylinder. When subsequently presenting an ambiguously rotating version of the cylinder, we found that the invisible signal influenced the perceived rotation direction. This demonstrates that perception can rapidly undergo "structure learning" by automatically picking up novel contingencies between sensory signals, thus automatically recruiting signals for novel uses during the construction of a percept.     

Pattern perception and computational complexity: introduction to the special issue

Research on pattern perception and rule learning, grounded in formal language theory (FLT) and using artificial grammar learning paradigms, has exploded in the last decade. This approach marries empirical research conducted by neuroscientists, psychologists and ethologists with the theory of computation and FLT, developed by mathematicians, linguists and computer scientists over the last century. Of particular current interest are comparative extensions of this work to non-human animals, and neuroscientific investigations using brain imaging techniques. We provide a short introduction to the history of these fields, and to some of the dominant hypotheses, to help contextualize these ongoing research programmes, and finally briefly introduce the papers in the current issue.     

Motion perception and visual signal design in Anolis lizards

Anolis lizards communicate with displays consisting of motion of the head and body. Early portions of long-distance displays require movements that are effective at eliciting the attention of potential receivers. We studied signal-motion efficacy using a two-dimensional visual-motion detection (2DMD) model consisting of a grid of correlation-type elementary motion detectors. This 2DMD model has been shown to accurately predict Anolis lizard behavioural response. We tested different patterns of artificially generated motion and found that an abrupt 0.3° shift of position in less than 100 ms is optimal. We quantified motion in displays of 25 individuals from five species. Four species employ near-optimal movement patterns. We tested displays of these species using the 2DMD model on scenes with and without moderate wind. Display movements can easily be detected, even in the presence of windblown vegetation. The fifth species does not typically use the most effective display movements and display movements cannot be discerned by the 2DMD model in the presence of windblown vegetation. A number of Anolis species use abrupt up-and-down head movements approximately 10 mm in amplitude in displays, and these movements appear to be extremely effective for stimulating the receiver visual system.     

Correlations between the fMRI BOLD signal and visual perception

Using fMRI and a psychophysical task involving letter identification, Kleinschmidt et al. (2002) (this issue of Neuron) delineate two patterns of neural activation, which manifest in different cortical regions: a transient activation, correlated with the change of a percept, and a longer-term hysteresis, correlated with the maintenance of the percept. These findings are provocative and suggest that neural hysteresis is mediated by visual structures that interact with higher-order regions to support longer-term maintenance of a percept.     

Introduction to special issue on RNA

In this introduction to the special issue on RNA, we provide a brief overview of some of the novel and exciting biological discoveries concerning diverse roles played by RNA, and subsequently we give a rapid summary of some algorithmic aspects of RNA structure and alignment. Each of the contributions to this special issue is briefly described. This work is funded in part by the National Science Foundation under Grant No. DBI-0543506.     

Investigation of visual perception of position based on the reafferent theory

In relation to the historical controversy between the outflow theorists and inflow theorists, a clear-cut model is presented to clucidate the visual perception of movement. It may be regarded as an extention of reafferent theory. The model makes it possible to perform examinations into available experimental data. Namely, it is assumed that there is a simulator of muscle-eye-ball dynamics, the input to which is supplied from the voluntary efferent signal generated to fix the visual target on the retina. Then the perceived sensation is obtained as the sum of the target position on the retina and the output of the simulator. Experimental data concerning the larget tracking, oculogyral illusion, oculogravic illusion, and autokinesis are examined. In most cases the model works well. In some cases, however, where mutually contradictory experimental results are reported, the validity of the model cannot be tested until unified and reliable data are obtained.     

Batesian mimicry and signal detection theory

Signal Detection Theory can be used to provide a mathematical model describing the choice of a predator trying to distinguish between a model and a Batesian mimic. The mathematical model yields a number of a deductions, in particular that it may or may not assist the mimic population if mimics more closely resemble their models. The assumptions underlying the analysis are discussed in some detail.     

Introduction to special issue on protected areas

Papers

Introduction to special issue on protected areas