Neuronal Activities in the Mouse Visual Cortex Predict Patterns of Sensory Stimuli

被引:7
作者
Cai, Lei [1 ]
Wu, Bian [1 ]
Ji, Shuiwang [1 ]
机构
[1] Washington State Univ, Sch Elect Engn & Comp Sci, Pullman, WA 99164 USA
基金
美国国家科学基金会;
关键词
Neural activity; Sensory stimuli; Visual coding; Allen brain observatory; Prediction; RECEPTIVE-FIELD PROPERTIES; FUNCTIONAL SPECIALIZATION; ORIENTATION; MOTION; AREA; V1; CONNECTIVITY; ORGANIZATION; INFORMATION; SELECTIVITY;
D O I
10.1007/s12021-018-9357-1
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Visual cortex forms the basis of visual processing and plays important roles in visual encoding. By using the recently published Allen Brain Observatory dataset consisting of large-scale calcium imaging of mouse V1 activities under visual stimuli, we were able to obtain high-quality data capturing simultaneous neuronal activities at multiple sub-areas and cortical depths of V1. Using prediction models, we analyzed the activity profiles related to static and drifting grating stimuli. We conducted a comprehensive survey of the coding ability of multiple cortical locations toward different stimulus attributes. Specifically, we focused on orientations and spatial frequencies (for static stimuli), as well as moving directions and speed (for drifting stimuli). By using results produced from a prediction model, we quantified the decoding performance profile at different sub-areas and layers of V1. In addition, we analyzed the interactions and interference between different stimulus attributes. The insights obtained from these discoveries would contribute to more precise and quantitative understanding of V1 coding mechanisms.
引用
收藏
页码:473 / 488
页数:16
相关论文
共 48 条
[1]   DIRECTION AND ORIENTATION SELECTIVITY OF NEURONS IN VISUAL AREA MT OF THE MACAQUE [J].
ALBRIGHT, TD .
JOURNAL OF NEUROPHYSIOLOGY, 1984, 52 (06) :1106-1130
[2]  
Allen Brain Observatory, 2016, TECHN WHIT STIM SET
[3]  
Allen Brain Observatory, 2016, TECHN WHIT PAP
[4]   Functional Specialization of Mouse Higher Visual Cortical Areas [J].
Andermann, Mark L. ;
Kerlin, Aaron M. ;
Roumis, Demetris K. ;
Glickfeld, Lindsey L. ;
Reid, R. Clay .
NEURON, 2011, 72 (06) :1025-1039
[5]   Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition [J].
Cadieu, Charles F. ;
Hong, Ha ;
Yamins, Daniel L. K. ;
Pinto, Nicolas ;
Ardila, Diego ;
Solomon, Ethan A. ;
Majaj, Najib J. ;
DiCarlo, James J. .
PLOS COMPUTATIONAL BIOLOGY, 2014, 10 (12)
[6]  
COOGAN TA, 1993, J NEUROSCI, V13, P3749
[7]   Natural stimulus statistics alter the receptive field structure of V1 neurons [J].
David, SV ;
Vinje, WE ;
Gallant, JL .
JOURNAL OF NEUROSCIENCE, 2004, 24 (31) :6991-7006
[8]  
Fakhry Ahmed, 2015, Brain Inform, V2, P107
[9]   High-resolution prediction of mouse brain connectivity using gene expression patterns [J].
Fakhry, Ahmed ;
Ji, Shuiwang .
METHODS, 2015, 73 :71-78
[10]   Relationships between Gene Expression and Brain Wiring in the Adult Rodent Brain [J].
French, Leon ;
Pavlidis, Paul .
PLOS COMPUTATIONAL BIOLOGY, 2011, 7 (01)