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Neurobiological circuit function and computation of the serotonergic and related systems
Serotonin is one of the oldest neurotransmitters in evolutionary terms, and the serotonergic system is complex and multifaceted. Serotonin-producing neurons in the raphe nuclei provide serotonin innervations throughout various parts of the brain, modulating cellular excitability and network properties of targeted brain areas, and regulating mood, cognition and behavior. Dysfunctions of the serotonergic system are implicated in neuropsychiatric disorders including depression, schizophrenia, and drug abuse. Although the system has been studied for many years, an integrative account of its functions and computational principles remains elusive. This is partly attributed to the high variability and heterogeneity in terms of neuronal properties and receptor types, and its extensive connections with other brain regions. This Frontiers Research Topic e-book is a collection of recent experimental and computational work and approaches at multiple scales that provide the latest information regarding the integrated functions of the serotonergic system. The contributed papers include a variety of experimental and computational work, and human clinical studies.
Neural Information Processing
The nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
The Letters of Chan Master Dahui Pujue
The Letters of Chan Master Dahui Pujue offers a complete annotated translation, the first into English, of a Chan Buddhist classic, the collected letters of the Southern Song Linji Chan teacher Dahui Zonggao (1089-1163). Addressed to forty scholar-officials, members of the elite class in Chinese society, and to two Chan masters, these letters are dharma talks on how to engage in Buddhist cultivation. Each of the letters to laymen is fascinating as a document directed to a specific scholar-official with his distinctive niche, high or low, in the Song-dynasty social-political landscape, and his idiosyncratic stage of development on the Buddhist path. Dahui is engaging, incisive, and often quit...
Modeling of Visual Cognition, Body Sense, Motor Control and Their Integrations
The interdisciplinary studies between neuroscience and information science have greatly promoted the development of these two fields. The achievements of these studies can help humans understand the essence of biological systems, provide computational platforms for biological experiments, and improve the intelligence and performance of the algorithms in information science. This research topic is focused on the computational modeling of visual cognition, body sense, motor control and their integrations. Firstly, the modeling and simulation of vision and body sense are achieved by 1) understanding neural mechanism underlying sensory perception and cognition, and 2) mimicking accordingly the s...
Neural and Computational Modeling of Movement Control
In the study of sensorimotor systems, an important research goal has been to understand the way neural networks in the spinal cord and brain interact to control voluntary movement. Computational modeling has provided insight into the interaction between centrally generated commands, proprioceptive feedback signals and the biomechanical responses of the moving body. Research in this field is also driven by the need to improve and optimize rehabilitation after nervous system injury and to devise biomimetic methods of control in robotic devices. This research topic is focused on efforts dedicated to identify and model the neuromechanical control of movement. Neural networks in the brain and spi...
Nonlinear Analysis in Neuroscience and Behavioral Research
Although nonlinear dynamics have been mastered by physicists and mathematicians for a long time (as most physical systems are inherently nonlinear in nature), the recent successful application of nonlinear methods to modeling and predicting several evolutionary, ecological, physiological, and biochemical processes has generated great interest and enthusiasm among researchers in computational neuroscience and cognitive psychology. Additionally, in the last years it has been demonstrated that nonlinear analysis can be successfully used to model not only basic cellular and molecular data but also complex cognitive processes and behavioral interactions. The theoretical features of nonlinear syst...
Contemporary New Confucianism I
As the first volume of a two-volume seminal work on contemporary New Confucianism in China, this book charts the development of this intellectual trend and examines four leading thinkers of this intellectual movement in the 20th century. Contemporary New Confucianism refers to the Confucianism or Confucian thought that has emerged in China since the 1920s and that seeks to revive Confucian spirituality in a changing society. This volume first analyzes the cultural context, logical approach, major themes, and problems of New Confucianism before delving into the four leading figures, namely Liang Shumin, Xiong Shili, Ma Yifu, and Qian Mu. The chapter on Liang Shumin analyzes his concept of wil...
Computational Models of Brain and Behavior
A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of ne...
