The primary value learned value (PVLV) model is a possible explanation for the reward-predictive firing properties of dopamine (DA) neurons. [1] It simulates behavioral and neural data on Pavlovian conditioning and the midbrain dopaminergic neurons that fire in proportion to unexpected rewards. It is an alternative to the temporal-differences (TD) algorithm.

The authors present their primary value learned value (PVLV) model for understanding the reward-predictive firing properties of dopamine (DA) neurons as an alternative to the temporal-differences (TD) algorithm. PVLV is more directly related to underlying biology and is also more robust to variability in the environment.

2007年3月1日 · PVLV is more directly related to underlying biology and is also more robust to variability in the environment. The primary value (PV) system controls performance and learning during primary...

2007年2月1日 · PVLV is more directly related to underlying biology and is also more robust to variability in the environment. The primary value (PV) system controls performance and learning during primary rewards, whereas the learned value (LV) system learns about conditioned stimuli.

This repository holds a Python implementation of the Primary Value and Learned Value Learning Algorithm (PVLV), as described in the eponymous article by Randall C. O'Reilly, Michael J. …

We previously presented PVLV, a biologically-inspired Pavlovian learning algorithm accounting for DA activity in terms of two interrelated systems: a primary value (PV) system, which governs how DA cells respond to a US (reward) and; a learned value (LV) system, which governs how DA cells respond to a CS.

O’Reilly and colleagues recently proposed in [20] a biologically-inspired algorithm for conditioning called PVLV (Primary Value / Learned Value), which is principally derived from the previously...

PVLV: The Primary Value and Learned Value Pavlovian Learning Algorithm. The authors present their primary value learned value (PVLV) model for understanding the reward-predictive...

The authors present their primary value learned value (PVLV) model for understanding the reward-predictive firing properties of dopamine (DA) neurons as an alternative to the temporal-differences (TD) algorithm. PVLV is more directly related to underlying biology and is also more robust to variability in the environment.

2020年5月13日 · 物理卷（Physical Volume,PV）：也就是物理磁盘分区，如果想要使用LVM来管理这个分区，可以使用fdisk将其ID改为LVM可以识别的值，即8e。 了解概念之后，逻辑卷是如何产生的就很清晰了：物理磁盘或者磁盘分区转换为物理卷，一个或多个物理卷聚集形成一个或多个卷组，而逻辑卷就是从某个卷组里面抽象出来的一块磁盘空间。 具体架构如下： 对于物理磁盘，我们直接分区、格式化为文件系统之后就可以使用，那为什么还需要使用逻辑卷的方式来管 …