This experiment examined the effects of perirhinal cortex (PeRh) lesions on rats' retrograde memory for object-discriminations and retrograde object recognition. Rats learned one discrimination problem or five concurrent discrimination problems 4 weeks before surgery, and a new problem or five new problems during the week preceding surgery. Each rat was also familiarized with a sample object in...

The perirhinal cortex (PRC) is reportedly important for object recognition memory, with supporting physiological evidence obtained largely from primate studies. Whether neurons in the rodent PRC also exhibit similar physiological correlates of object recognition, however, remains to be determined. We recorded single units from the PRC in a PRC-dependent, object-cued spatial choice task in which...

Visual object recognition is an open and challenging problem in computer vision. Note that fixing the position of the objects is one of the difficult problems in the object recognition task. Biological visual system tends to find naturally the most informative regions in a scene. In this paper, we present an object recognition approach based on the visual saliency. Firstly, the most salient reg...

The task of object recognition can be classified into two categories: generic and specific. Generic object recognition is to recognize classes of objects such as “a chair” and “a car”. Specific object recognition, on the other hand, is for identifying object instances such as a specific type of chair and car, in other words “the chair” and “the car”. This paper concerns the latter, especially m...

3D Object recognition is an important task in computer vision applications. After the success of convolutional neural networks for object recognition in 2D images, many researchers have designed convolution neural network (CNN) for 3D object recognition. The state of art methods provide favourable results. However, the availability of large/dynamic 3D dataset and computational complexity of CNN...

In a mental rotation task, participants must determine whether two stimuli match when one undergoes a rotation in 3-D space relative to the other. The key evidence for mental rotation is the finding of a linear increase in response times as objects are rotated farther apart. This signature increase in response times is also found in recognition of rotated objects, which has led many theorists t...

We describe a robot vision system that achieves complex object recognition with two layers of behaviors performing the tasks of planning and object recognition respectively The recognition layer is a pipeline in which successive stages take in images from a stereo head recover relevant features build intermediate representations and deposit D objects into a world model Each stage is an independ...

A number of cortex-like hierarchical models of object recognition have been proposed these years. In this paper, we improve them by introducing supervision during forming combined local features. The traditional cortex-like hierarchical models always contain three layers which imitate the functions of neurons in ventral visual stream of primates. The bottom layer detects orientation information...