Crop Leaf Disease Recognition Network Based on Brain Parallel Interaction Mechanism

In the actual complex environment,the recognition accuracy of crop leaf disease is often not high.Inspired by the brain parallel interaction mechanism,a two-stream parallel interactive convolutional neural network(TSPI-CNN)is proposed to improve the recognition accuracy.TSPI-CNN includes a two-stream parallel network(TSP-Net)and a parallel interactive network(PI-Net).TSP-Net simulates the ventral and dorsal stream.PI-Net simulates the interaction between two pathways in the process of human brain visual information transmission.A large number of experiments shows that the proposed TSPI-CNN performs well on MK-D2,PlantVillage,Apple-3 leaf,and Cassava leaf datasets.Furthermore,the effect of numbers of interactions on the recognition performance of TSPI-CNN is discussed.The experimental results show that as the number of interactions increases,the recognition accuracy of the network also increases.Finally,the network is visualized to show the working mechanism of the network and provide enlightenment for future research.

Brain mechanisms of mental processing:from evoked and spontaneous brain activities to enactive brain activity

Within the context of the computer metaphor,evoked brain activity acts as a primary carrier for the brain mechanisms of mental processing.However,many studies have found that evoked brain activity is not the major part of brain activity.Instead,spontaneous brain activity exhibits greater intensity and coevolves with evoked brain activity through continuous interaction.Spontaneous and evoked brain activities are similar but not identical.They are not separate parts,but always dynamically interact with each other.Therefore,the enactive cognition theory further states that the brain is characterized by unified and active patterns of activity.The brain adjusts its activity pattern by minimizing the error between expectation and stimulation,adapting to the ever-changing environment.Therefore,the dynamic regulation of brain activity in response to task situations is the core brain mechanism of mental processing.Beyond the evoked brain activity and spontaneous brain activity,the enactive brain activity provides a novel framework to completely describe brain activities during mental processing.It is necessary for upcoming researchers to introduce innovative indicators and paradigms for investigating enactive brain activity during mental processing.

Brain Systems Underlying Fundamental Motivations of Human Social Conformity

From birth to adulthood,we often align our behaviors,attitudes,and opinions with a majority,a phenomenon known as social conformity.A seminal framework has proposed that conformity behaviors are mainly driven by three fundamental motives:a desire to gain more information to be accurate,to obtain social approval from others,and to maintain a favorable self-concept.Despite extensive interest in neuroimaging investigation of social conformity,the relationship between brain systems and these fundamental motivations has yet to be established.Here,we reviewed brain imaging findings of social conformity with a componential framework,aiming to reveal the neuropsychological substrates underlying different conformity motivations.First,information-seeking engages the evaluation of social information,information integration,and modification of task-related activity,corresponding to brain networks implicated in reward,cognitive control,and tasks at hand.Second,social acceptance involves the anticipation of social acceptance or rejection and mental state attribution,mediated by networks of reward,punishment,and mentalizing.Third,self-enhancement entails the excessive representation of positive self-related information and suppression of negative self-related information,ingroup favoritism and/or outgroup derogation,and elaborated mentalizing processes to the ingroup,supported by brain systems of reward,punishment,and mentalizing.Therefore,recent brain imaging studies have provided important insights into the fundamental motivations of social conformity in terms of component processes and brain mechanisms.

Neuroaesthetics: a narrative review of neuroimaging techniques

As a new discipline,neuroaesthetics has developed rapidly to become an important branch of neuroscience.The study of neuroaesthetics is of great significance to understanding the mechanisms underlying human aesthetics.In this review,we briefly define neuroaesthetics,and then review the current state of aesthetics research with a focus on single-modal and multi-modal neuroimaging technologies using the visual and auditory modalities.Finally,we summarize current challenges and trends in the field.