from    
to    
search  

 


Phase transition of random plaquette models
Tiling with Electrons: fractionalization and emergent symmetry
Pyroptosis & Innate Immunity: Mechanisms & Therapeutics Potentials
【数学之美-杰出学者讲坛】2024年第6期 || Some recent results on conformally in...
报告题目:
清华BBNC创新讲座(第7期) High-speed imaging of brain activity
 报告人:
Dr Kaspar Podgorski
HHMI / Janelia Research Campus
报告时间:
2019-04-12 10:00
报告地点:
中央主楼511室
主办单位:
清华大学自动化系
  简介:

简介

Kaspar Podgorski is a fellow at HHMI / Janelia Research Campus. His goal is to peer into the brain and see how a neuron processes information. As an undergraduate (2004-2008) he studied Artificial Intelligence, Neuroscience, and Cognitive Science at the University of Toronto. In 2009 he joined the lab of Kurt Haas at the University of British Columbia, working on tools for what we would come to call 'comprehensive imaging': imaging synaptic activity throughout the entire dendritic arbor of a neuron at high speed. In winter 2013-2014 he visited Mark Schnitzer's group at Stanford, developing techniques for in vivo imaging in mice. In 2015, he joined Janelia, where his lab is developing methods for comprehensive imaging of neurons in mouse cortex.

 

报告摘要:

I will discuss new methods we are developing for kilohertz frame-rate fluorescence imaging in scattering brain tissue, optimized for recording fast signals associated with neural computation, such as neurotransmitters and voltage spikes. We developed a tomographic two-photon microscope that scans lines of excitation across a focal plane at multiple angles and uses computation to recover high-resolution images at voxel rates of over 1 billion Hz. We have used this microscope to image new sensors for acetylcholine, glutamate, GABA, and voltage in vivo. The method is about 15 times faster than a fundamental limit on the speed of raster scanning two-photon imaging.

今日相关信息
体内原位自组装智能药物递送系统-清华20...
重组蛋白药物的研究现状
统计数据、术语定义的检索案例分析与信息获...
 
同类别相关信息
汽车大变革时代,半导体的机遇和挑战
北京信息科学与技术国家研究中心系列交叉...
AIR学术沙龙第3期|从自动驾驶到智能交...
氧化物神经形态晶体管及其类脑芯片应用
AIR学术工作坊第1期 | AI赋能基因分析...
学术活动