Visual cognition of birds and its underlying neural mechanism:A review

Birds have acute vision and many remarkable visual cognition abilities,due to their unique living environment.The underlying neural mechanisms have also attracted interests of researchers in neuroscience.Here,we firstly summarize the visual cognition abilities of birds,and make a comparison with mammals.Secondly,the underlying neural mechanisms are presented,including histological structure of avian brain and visual pathways,typical experimental results and conclusions in electrochemistry and electrophysiology.The latter mainly focuses on several higher brain areas related to visual cognition,including mesopallium ventrolaterale,entopallium,visual Wulst,and nidopallium caudolaterale.Finally,we make a conclusion and provide a suggestion about future studies on revealing the neural mechanisms of avian visual cognition.This review presents a detailed understanding of avian visual cognition and would be helpful in ornithology studies in the field of cognitive neuroscience.

Natural Scene Classification Inspired by Visual Perception and Cognition Mechanisms

The process of human natural scene categorization consists of two correlated stages: visual perception and visual cognition of natural scenes.Inspired by this fact,we propose a biologically plausible approach for natural scene image classification.This approach consists of one visual perception model and two visual cognition models.The visual perception model,composed of two steps,is used to extract discriminative features from natural scene images.In the first step,we mimic the oriented and bandpass properties of human primary visual cortex by a special complex wavelets transform,which can decompose a natural scene image into a series of 2D spatial structure signals.In the second step,a hybrid statistical feature extraction method is used to generate gist features from those 2D spatial structure signals.Then we design a cognitive feedback model to realize adaptive optimization for the visual perception model.At last,we build a multiple semantics based cognition model to imitate human cognitive mode in rapid natural scene categorization.Experiments on natural scene datasets show that the proposed method achieves high efficiency and accuracy for natural scene classification.

Research on Dynamic Graphic Features in Digital Media Interfaces

In digital media interfaces,dynamic graphics integrate elements of animation design,graphic design,and cinematic language,presenting in various forms and demonstrating significant inclusivity.From the perspective of visual cognition,by capturing dynamic graphics within the interface,three-dimensional information such as time and space is acquired,and the cognition process exhibits characteristics of spatial and temporal correlation.In terms of information cognition,dynamic representation fragments information,resulting in a sense of discontinuity and intermittent memory.The efficiency of information cognition and transmission is enhanced through the coordination of audio,video,and other elements.In aesthetic perception,with the rise of Internet culture,people’s aesthetic perceptions towards dynamic graphic design have evolved,showcasing a generalization of form and the instantaneous nature of content.Technically,the complexity of design and the diversity of applications have established dynamic graphics as a typical design style label in digital media interfaces.