Responses of pyramidal cell somata and apical dendrites in mouse visual cortex over multiple days

被引:0
作者
Colleen J. Gillon
Jérôme A. Lecoq
Jason E. Pina
Ruweida Ahmed
Yazan N. Billeh
Shiella Caldejon
Peter Groblewski
Timothy M. Henley
India Kato
Eric Lee
Jennifer Luviano
Kyla Mace
Chelsea Nayan
Thuyanh V. Nguyen
Kat North
Jed Perkins
Sam Seid
Matthew T. Valley
Ali Williford
Yoshua Bengio
Timothy P. Lillicrap
Joel Zylberberg
Blake A. Richards
机构
[1] University of Toronto,Department of Cell & Systems Biology
[2] Toronto,Department of Biological Sciences
[3] University of Toronto Scarborough,Department of Physics and Astronomy
[4] Toronto,Centre for Vision Research
[5] Mila,Département d’informatique et de recherche opérationnelle
[6] Montréal,Learning in Machines and Brains Program
[7] Allen Institute,Centre for Computation, Mathematics and Physics in the Life Sciences and Experimental Biology
[8] MindScope Program,School of Computer Science
[9] York University,Department of Neurology & Neurosurgery
[10] York University,Montreal Neurological Institute
[11] Université de Montréal,undefined
[12] Canadian Institute for Advanced Research,undefined
[13] DeepMind,undefined
[14] Inc,undefined
[15] University College London,undefined
[16] Vector Institute for Artificial Intelligence,undefined
[17] McGill University,undefined
[18] McGill University,undefined
[19] McGill University,undefined
来源
Scientific Data | / 10卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
The apical dendrites of pyramidal neurons in sensory cortex receive primarily top-down signals from associative and motor regions, while cell bodies and nearby dendrites are heavily targeted by locally recurrent or bottom-up inputs from the sensory periphery. Based on these differences, a number of theories in computational neuroscience postulate a unique role for apical dendrites in learning. However, due to technical challenges in data collection, little data is available for comparing the responses of apical dendrites to cell bodies over multiple days. Here we present a dataset collected through the Allen Institute Mindscope’s OpenScope program that addresses this need. This dataset comprises high-quality two-photon calcium imaging from the apical dendrites and the cell bodies of visual cortical pyramidal neurons, acquired over multiple days in awake, behaving mice that were presented with visual stimuli. Many of the cell bodies and dendrite segments were tracked over days, enabling analyses of how their responses change over time. This dataset allows neuroscientists to explore the differences between apical and somatic processing and plasticity.
引用
收藏
相关论文
共 58 条
[11]  
Larkum ME(2013)Firing rate homeostasis in visual cortex of freely behaving rodents Neuron 80 335-97
[12]  
Nevian T(2017)A review of predictive coding algorithms Brain Cogn. 112 92-151
[13]  
Sandler M(2020)A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex Nat. Neurosci. 23 138-2910
[14]  
Polsky A(2017)Robust estimation of neural signals in calcium imaging In Advances in Neural Information Processing Systems 30 2901-1289
[15]  
Schiller J(2020)VIP interneurons in mouse primary visual cortex selectively enhance responses to weak but specific stimuli Elife 9 e55130-1865
[16]  
Sacramento J(2022)Novel stimuli evoke excess activity in the mouse primary visual cortex Proc. Nat. Acad. Sci. 119 e2108882119-9052
[17]  
Ponte Costa R(2018)DeepLabCut: Markerless pose estimation of user-defined body parts with deep learning Nat. Neurosci. 21 1281-362
[18]  
Bengio Y(2008)Parametric image alignment using enhanced correlation coefficient maximization IEEE Trans. Pattern Anal. Mach. Intell. 30 1858-272
[19]  
Senn W(2019)Wide. fast. deep: recent advances in multiphoton microscopy of J. Neurosci. 39 9042-95
[20]  
Payeur A(2020) neuronal activity Nature 585 357-2830