Causative mechanisms of mesoscopic activity patterns in auditory category discrimination

听觉类别辨别中细观活动模式的致病机制

• 批准号: 238707842
• 负责人: Professorin Dr. Sonja Grün
• 金额: --
• 依托单位: INM-6: Computational and Systems Neuroscience
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2013
• 资助国家: 德国
• 起止时间: 2012-12-31 至 2020-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/238707842?language=en
• 关键词: Causative; mechanisms; mesoscopic; activity; patterns

The formation of categories is a fundamental element of cognition. However, its neuronal mechanisms remain largely unknown. While most previous work on category discrimination has focused on higher cortical areas, recent work points to important roles already of sensory brain areas. We have established a robust model of auditory category discrimination learning in the Mongolian gerbil, using frequency modulated (FM)-sweeps and a go/no-go shuttlebox paradigm. We have used this model to investigate (1) behavioral characteristics of auditory category learning, (2) to localize such function to the auditory cortex, and (3) to investigate neurochemical and proteomic consequences of learning. Particularly relevant for this proposal, we have shown that (4) mesoscopic spatial patterns of neural population activity as measured by surface ECoG arrays can accurately predict the animals' behavioral/cognitive decision. In this proposal, we explore the causative mechanisms leading to such mesoscopic neural activity patterns and their behavioral outcome. In the new funding period we will focus on the causal mechanisms that are differentially recruited during learning from previous correct and incorrect decisions. We continue to demonstrate causality by independently establishing the necessary and sufficient physiological preconditions for the categorization behaviour. This will be achieved by a combination of behavioral, electrophysiological and optogenetic techniques that we have developed during the first funding period. By combining our findings from mesoscopic activity with newly developed spike-based analysis, we further hope to illuminate the relationship of behaviourally relevant neuronal signatures on the mesoscopic levels and the microscopic levels of single-unit assemblies The uniqueness of our contribution to the SPP 1665 lies in direct causal investigation at the mesoscopic and microscopic level of cortical activity, in the context of a rich cognitive/behavioral task. In order to achieve new insights at this mesoscopic level, we employ advanced tools (WP1), a robust experimental model of auditory category discrimination and advanced computational analysis (WP2+3). We thereby take full advantage of the troika collaborative concept of the SPP 1665, by integrating activities of a toolmaker, an experimenter and an analyst.

类别的形成是认知的基本要素。但是，其神经元机制在很大程度上仍然未知。尽管大多数先前关于类别歧视的工作都集中在较高的皮质区域上，但最近的工作表明了感觉大脑区域的重要作用。我们已经使用频率调制（FM）滚动和GO/No-Go Shuthtle Box范式建立了在蒙古Gerbil中的听觉类别歧视学习的强大模型。我们已经使用此模型研究了（1）听觉类别学习的行为特征，（2）将这种功能定位于听觉皮层，以及（3）研究学习的神经化学和蛋白质组学后果。与该提案特别相关，我们表明（4）通过表面ECOG阵列衡量的神经种群活动的介观空间模式可以准确预测动物的行为/认知决策。在此提案中，我们探讨了导致这种介绍神经活动模式及其行为结果的致病机制。在新的资金期间，我们将重点介绍从以前的正确和错误决策中学习期间招募的因果机制。我们继续通过独立地建立针对分类行为的必要和充分的生理前提来证明因果关系。这将通过我们在第一个资金期间开发的行为，电生理和光遗传学技术的结合来实现。 By combining our findings from mesoscopic activity with newly developed spike-based analysis, we further hope to illuminate the relationship of behaviourally relevant neuronal signatures on the mesoscopic levels and the microscopic levels of single-unit assemblies The uniqueness of our contribution to the SPP 1665 lies in direct causal investigation at the mesoscopic and microscopic level of cortical activity, in the context of a rich认知/行为任务。为了在此介绍级别获得新的见解，我们采用了高级工具（WP1），这是一个强大的听觉类别歧视和高级计算分析（WP2+3）的实验模型。因此，我们通过整合工具制造商，实验者和分析师的活动来充分利用SP 1665的Troika协作概念。