在活体细胞类型和大脑区域分类通过多模式对比学习
Han Yu1, Hanrui Lyu2, Ethan Yixun Xu1
1Columbia University, New York, NY, USA.
bioRxiv : the preprint server for biology
|November 22, 2024
概括
从电生理学记录中识别神经元细胞类型和大脑区域是具有挑战性的. 我们通过多模式对比学习 (NEMO) 开发了神经嵌入,这是一种人工智能方法,可以使用神经数据准确地分类细胞类型和大脑区域.
科学领域:
- 神经科学是一个神经科学.
- 计算神经科学是一种神经科学.
- 机器学习 机器学习
背景情况:
- 电生理学方法记录神经活动,但缺乏细胞类型和大脑区域的特异性,没有额外的分析.
- 准确识别神经元群体对于理解神经计算至关重要.
研究的目的:
- 开发一种可扩展的算法,从电生理学记录中识别细胞类型和大脑区域.
- 通过实现精确的神经群体识别来提高我们对神经计算的理解.
主要方法:
- 开发了一种多式对比式学习方法,称为通过多式对比式学习 (NEMO) 进行神经嵌入.
- 共同嵌入的神经活动自相关性和细胞外波形.
- 微调了下游任务的模型,如细胞类型和大脑区域分类.
主要成果:
- 在一个光标签视觉皮层数据集上,NEMO实现了最先进的细胞类型分类.
- 使用国际大脑实验室数据集,NEMO在大脑区域分类方面表现出高准确性.
- 该方法有效地整合了多式联络神经数据用于分类.
结论:
- NEMO提供了一个有前途的解决方案,可以直接从电生理学数据中准确地分类细胞类型和大脑区域.
- 这种方法提升了分析神经记录的能力,而不需要后期分子或组织学验证.
- 开发的方法有助于更深入地了解神经电路和计算.
更多相关视频
12:27Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
Published on: February 15, 2017
6.9K
10:25Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
Published on: September 25, 2019
47.9K
相关概念视频
Force Classification
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
Anatomy of the Brain: Major Regions
The brain is the most complex organ in the human body. It consists of four main parts: the cerebrum, diencephalon, cerebellum, and brainstem.
The cerebrum is the largest section of the brain and divides into left and right hemispheres, separated by a deep fissure. The cerebral outer layer of grey matter — the cerebral cortex — comprises elevations called gyri and shallow groves called sulci. The inner portion of white matter includes long nerve fibers known as axons, which connect various areas...
The cerebrum is the largest section of the brain and divides into left and right hemispheres, separated by a deep fissure. The cerebral outer layer of grey matter — the cerebral cortex — comprises elevations called gyri and shallow groves called sulci. The inner portion of white matter includes long nerve fibers known as axons, which connect various areas...
Classification of Systems-I
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Classification of Systems-II
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
Brain Imaging
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).
Cognitive Learning
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
