Corn is one of the main food crops in China, and its area ranks top three world. However, corn leaf disease has seriously affected yield quality corn. To quickly accurately identify diseases, taking timely effective treatment to reduce loss yield. We proposed identifying diseases using Mobilenetv3 (CD-Mobilenetv3) model. Based on model, we replaced model’s cross-entropy function with a bias imp...

Monitoring the morphology of blood leukocytes, plays an important role in medical research, especially treatment diseases such as immunodeficiency. Traditional manual detection methods are susceptible to numerous interference factors. Therefore, cells often segmented using deep-learning algorithms. This study proposes a U-Net model based on combination attention mechanism and dilated convolutio...

In macaque ventral premotor cortex, we recorded the activity of neurons that responded to both visual and tactile stimuli. For these bimodal cells, the visual receptive field extended from the tactile receptive field into the adjacent space. Their tactile receptive fields were organized topographically, with the arms represented medially, the face represented in the middle, and the inside of th...

In recent years, there has been considerable interest in how to maximize learners' retention of multiword expressions. One technique that shown be highly effective is the use exercises such as those found mainstream English a second language textbooks. present study, we investigated execution gap-fill exercise impacts learning phrasal verbs with 118 learners studying foreign language. Participa...

Regular inspection of sewer pipes can detect serious defects in time, which is significant to ensure the healthy operation systems and urban safety. Currently, widely used closed-circuit television (CCTV) system relies mainly on manual assessment, labor intensive inefficient. Therefore, it urgent develop an efficient accurate automatic defect detection method. In this paper, improved method bas...

Information is integrated across the visual field to transform local features into a global percept. We now know that V1 neurons provide more spatial integration than originally thought due to the existence of their nonclassical inhibitory surrounds. To understand spatial integration in the visual cortex, we have studied the nature and extent of center and surround influences on neuronal respon...

A fundamental concept in neuroscience is the receptive field, the area of space over which a neuron gathers information. Until about 25 years ago, visual receptive fields were thought to be determined entirely by the pattern of retinal inputs, so it was quite surprising to find neurons in primate cortex with receptive fields that changed position every time a saccade was executed [1]. Although ...

Formal veri cation for complex concurrent systems is a computationally intensive and, in some cases, intractable process. The complexity is an inherent part of the veri cation process due to the system complexity that is an exponential function of the sizes of its components. However, some properties can be enforced by automatically synchronizing the components, thus eliminating the need for ve...

To examine the basis of frequency receptive fields in auditory cortex (ACx), we have recorded intracellular (whole cell) and extracellular (local field potential, LFP) responses to tones in anesthetized rats. Frequency receptive fields derived from excitatory postsynaptic potentials (EPSPs) and LFPs from the same location resembled each other in terms of characteristic frequency (CF) and breadt...