2019 Conference on Cognitive Computational Neuroscience最新文献_第4页

Subnetworks mediating feedforward and feedback processes revealed by multi-area Neuropixels recordings 多区域神经像素记录揭示了子网络介导前馈和反馈过程

2019 Conference on Cognitive Computational Neuroscience Pub Date : 1900-01-01 DOI: 10.32470/ccn.2019.1281-0

Xiaoxuan Jia, J. Siegle, Yazan N. Billeh, S. Durand, Greggory Heller, Tamina Ramirez, A. Arkhipov, Shawn R. Olsen

{"title":"Subnetworks mediating feedforward and feedback processes revealed by multi-area Neuropixels recordings","authors":"Xiaoxuan Jia, J. Siegle, Yazan N. Billeh, S. Durand, Greggory Heller, Tamina Ramirez, A. Arkhipov, Shawn R. Olsen","doi":"10.32470/ccn.2019.1281-0","DOIUrl":"https://doi.org/10.32470/ccn.2019.1281-0","url":null,"abstract":"The visual system is organized hierarchically with feedforward and feedback pathways mediating crossarea communication. However, it is challenging to segregate these connections functionally and thus the logic of information flow remains unclear. Here, we studied this question by simultaneously recording from six visual cortical areas in awake mice with Neuropixels probes. We found two distinct neural ensembles based on their functional connectivity pattern: one ensemble is dominated by connections that drive the activity in the network (‘driver’), while another ensemble is more driven by network activity (‘driven’). ‘Driver’ neurons were more numerous in supragranular layers, whereas ‘driven’ neurons were more abundant in infragranular layers. Interestingly, although both ‘driver’ and ‘driven’ neurons were found across all cortical areas, the proportion of driven-to-driver cells systematically increased across the visual hierarchy. Strong directional information flow between these subnetworks was present during sensory stimulation, but not during spontaneous activity. The ‘driver’ ensemble showed earlier and more transient responses compared to the ‘driven’ ensemble. A rate model of the network recapitulated the link between response latency and functional connectivity. Overall, our study revealed distinct multi-area ensembles with distinct roles in information flow.","PeriodicalId":281121,"journal":{"name":"2019 Conference on Cognitive Computational Neuroscience","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128720063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integration of face features in expression discrimination studied with psychophysics and fMRI 用心理物理学和功能磁共振成像技术研究面部特征在表情识别中的整合

2019 Conference on Cognitive Computational Neuroscience Pub Date : 1900-01-01 DOI: 10.32470/ccn.2019.1239-0

I. Muukkonen, Markku Kilpeläinen, R. Turkkila, T. Saarela, V. Salmela

引用次数: 0

Understanding the timing of cognitive processes with a variable rate neural code 用可变速率的神经编码来理解认知过程的时间

2019 Conference on Cognitive Computational Neuroscience Pub Date : 1900-01-01 DOI: 10.32470/ccn.2019.1397-0

S. T. Christie, Paul Schrater

引用次数: 0

Deep reinforcement learning in a spatial navigation task: Multiple contexts and their representation 空间导航任务中的深度强化学习:多上下文及其表示

2019 Conference on Cognitive Computational Neuroscience Pub Date : 1900-01-01 DOI: 10.32470/ccn.2019.1151-0

Nicolas Diekmann, T. Walther, Sandhiya Vijayabaskaran, Sen Cheng

引用次数: 0

The cingulo-opercular network controls stimulus-response transformations with increasing efficiency over the course of learning 在学习过程中，扣眼网络控制刺激-反应转换的效率越来越高

2019 Conference on Cognitive Computational Neuroscience Pub Date : 1900-01-01 DOI: 10.32470/ccn.2019.1060-0

Janik Fechtelpeter, Hannes Ruge, Holger Mohr

{"title":"The cingulo-opercular network controls stimulus-response transformations with increasing efficiency over the course of learning","authors":"Janik Fechtelpeter, Hannes Ruge, Holger Mohr","doi":"10.32470/ccn.2019.1060-0","DOIUrl":"https://doi.org/10.32470/ccn.2019.1060-0","url":null,"abstract":"We all have experienced that the amount of effort required to perform a task can rapidly decrease over the course of practice. Previous studies have shown that short-term automatization of stimulus-response transformations is associated with a reorganization of functional coupling between different large-scale brain networks. However, it has remained an open question how changing connectivity patterns translate into more efficient stimulus-response processing over the course of learning. Here, we employed a control-theoretic approach to test the hypothesis that the amount of control energy required for stimulus-response processing decreases from early to late practice for networks involved in task control. Using fMRI data from a learning group, N = 70, and a control group, N = 67, stimulus-response transformations were modeled as trajectories of activity starting in the visual network and ending in the sensorimotor network. The stimulusresponse trajectories were determined by the functional connectivity matrices derived from the fMRI data plus additional control activation exerted by task-related networks. Based on this analysis approach, we found that the cingulo-opercular network can control stimulus-response transformations with increasing efficiency over the course of learning, while no change in control energy was observed for the fronto-parietal network, highlighting the central role of the cinguloopercular network for short-term task automatization.","PeriodicalId":281121,"journal":{"name":"2019 Conference on Cognitive Computational Neuroscience","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116275198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Brain Functional Connectivity in Wakefulness Predicts Susceptibility to Anaesthesia 清醒状态下的脑功能连接预测对麻醉的易感性

2019 Conference on Cognitive Computational Neuroscience Pub Date : 1900-01-01 DOI: 10.32470/ccn.2019.1294-0

F. Deng, R. Cusack, L. Naci

{"title":"Brain Functional Connectivity in Wakefulness Predicts Susceptibility to Anaesthesia","authors":"F. Deng, R. Cusack, L. Naci","doi":"10.32470/ccn.2019.1294-0","DOIUrl":"https://doi.org/10.32470/ccn.2019.1294-0","url":null,"abstract":"There are considerable individual differences in susceptibility to anaesthesia, which will hamper development of reliable biomarkers to track the loss of reportable consciousness during anaesthesia. In the present study, we address this challenge by using functional Magnetic Resonance Imaging (fMRI) to quantify the effect of Propofol-induced changes in brain networks. fMRI data was collected while listening to an engaging narrative and during resting condition. Brain network specialisation, a measure for effective brain network function, was derived before and after mild sedation together with responsiveness to auditory target detection task. Reaction time (RT) was recorded. We found decreased brain system segregation, especially in association system, after mild sedation and such anaesthesia effect only presented during listening to the engaging narrative not under resting state. Particularly, functional connectivity between default mode network and salience network is significantly increased after mild sedation and participants showing lower connectivity at baseline were more likely to become unresponsive after mild sedation, despite similar RT during wakeful state. Our findings revealed the neural correlates under individual differences in susceptibility to Propofol and have the potential to inform improved brain state monitoring under anaesthesia, in future studies.","PeriodicalId":281121,"journal":{"name":"2019 Conference on Cognitive Computational Neuroscience","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116286973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Attentional influences in primary visual cortex: an investigation of key task factors 初级视觉皮层的注意影响:关键任务因素的研究

2019 Conference on Cognitive Computational Neuroscience Pub Date : 1900-01-01 DOI: 10.32470/ccn.2019.1336-0

Kieran Mohr, S. Kelly

{"title":"Attentional influences in primary visual cortex: an investigation of key task factors","authors":"Kieran Mohr, S. Kelly","doi":"10.32470/ccn.2019.1336-0","DOIUrl":"https://doi.org/10.32470/ccn.2019.1336-0","url":null,"abstract":"Whether or not spatial attention can boost the initial volley of visual processing in V1 remains controversial. In particular, two recent studies failed to replicate an earlier study that found a spatial attention modulation of the earliest, V1-generated component of the human VEP (“C1”). Here, we sought to reconcile these findings through a careful consideration of the computational demands imposed by the target detection tasks. We conducted 3 new experiments. The first sought to elucidate the role of target-non target feature similarity and the second, the level of feedback provided. The third experiment was a close replication of the task conditions of the original experiment. Taking all three experiments together, attention boosted C1 amplitude. However, this effect was present in only the second and third experiments, with the first showing a modulation in the reverse direction. This reversal coincided with differing behavioural results, perhaps reflecting different strategies employed by participants to carry out the task. Thus, although these findings affirm our general hypothesis that the determining factor for attentional modulation of the very earliest sensory representations relates to the precise computational demands of the perceptual task, further work is needed to pinpoint the computational principles that the attention system follows.","PeriodicalId":281121,"journal":{"name":"2019 Conference on Cognitive Computational Neuroscience","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126394614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neural mechanisms underlying the computation of socially inferred rewards 社会推断奖励计算的神经机制

2019 Conference on Cognitive Computational Neuroscience Pub Date : 1900-01-01 DOI: 10.32470/ccn.2019.1425-0

Natalia Vélez, Hyowon Gweon

引用次数: 0

Evaluating the angular power spectrum of cortical folding 评估皮质折叠的角功率谱

2019 Conference on Cognitive Computational Neuroscience Pub Date : 1900-01-01 DOI: 10.32470/ccn.2019.1177-0

C. Madan

引用次数: 1

Sensorimotor strategies and neuronal representations of whisker-based object recognition in mouse barrel cortex 小鼠桶状皮层中基于须状物的物体识别的感觉运动策略和神经元表征

2019 Conference on Cognitive Computational Neuroscience Pub Date : 1900-01-01 DOI: 10.32470/ccn.2019.1277-0

Ramon Nogueira, Chris C. Rodgers, Stefano Fusi, R. Bruno

引用次数: 1