Crowd coding in the brain:3D imaging and control of collective neuronal dynamics

大脑中的群体编码：集体神经元动力学的 3D 成像和控制

• 批准号: 8827121
• 负责人: PATRICK O KANOLD
• 金额: $ 50.55万
• 依托单位: UNIV OF MARYLAND, COLLEGE PARK
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-30 至 2017-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8827121
• 关键词: Accounting; Action Potentials; Address; Algorithms; Animal Behavior; Animals; Area; Auditory area; Autistic Disorder; Behavioral; Binding; Brain; Brain Diseases; Cells; Cerebral Palsy; Cerebral cortex; Code; Communication; Complex; Crowding; Decision Making; Disease; Distant; Engineering; Epilepsy; Functional disorder; Goals; Graph; Human; Image; Image Analysis; Imaging Device; Imaging technology; Individual; Language; Light; Link; Location; Machine Learning; Maps; Measurement; Measures; Microscope; Monitor; Motor; Mus; Neurons; Outcome; Outcome Study; Pathology; Pattern; Physiological; Plastics; Population; Population Dynamics; Population Process; Property; Publishing; Relative (related person); Research; Resolution; Rest; Sampling; Scanning; Schizophrenia; Sensory; Sensory Process; Shapes; Stimulus; Structure; Techniques; Testing; Three-Dimensional Imaging; Use of New Techniques; Work; analytical tool; auditory discrimination; awake; base; cell type; density; in vivo; information processing; insight; millisecond; novel; public health relevance; receptive field; response; sensory stimulus; spatiotemporal; theories; tool; two-photon

 DESCRIPTION (provided by applicant): The cortex is a laminated structure that is thought to underlie sequential information processing. Sensory input enters layer 4 (L4) from which activity quickly spreads to superficial layers 2/3 (L2/3) and deep layers 5/6 (L5/6) and other cortical areas eventually leading to appropriate motor responses. Sensory responses themselves depend on ongoing, i.e. spontaneous cortical activity, usually in the form of reverberating activit from within or distant cortical regions, as well as the state and behavioral context of the animal. Receptive field properties of neurons can rapidly and adaptively be reshaped when an animal is engaged in a behavioral task, indicating that encoding of stimuli is dependent on task- or context-dependent state. Responses also depend on ongoing cortical dynamics in a lamina-dependent fashion and differ between the awake and anesthetized state. The intricate neuronal interplay between behavioral context, ongoing activity, and sensory stimulus underlying cortical representations is unknown. Specifically, we do not know how neuronal circuits shape these emergent dynamics within and between laminae, and we do not know which neurons encode which aspect of a sensory stimulus. One shortcoming of all prior studies of sensory processing is that only a few neurons are sampled, and thus information about the interactions between neurons, and between neuron and global brain state is lacking. Here we address these challenges by developing new in vivo 2-photon imaging technology that allows rapid imaging and stimulation in multiple focal planes and new computational and information theoretic techniques to extract network dynamics at the single neuron and population level. These measures go beyond paired measures and take synergistic interactions between neurons into account. We use these new techniques to investigate the 3D single cell and population activity patterns in the auditory cortex in mice. We investigate the influence of single neurons relative to the synergistic influence of specific groups of neurons (the crowd) on network dynamics and ultimately behavior of the animal.