Generative Models for Active Vision.
Generative Models for Active Vision.
复制标题
DOI:
10.3389/fnbot.2021.651432
复制
发表时间:
2021
影响因子:
3.1
通讯作者:
Friston KJ
中科院分区:
文献类型:
--
作者:
Parr T;Sajid N;Da Costa L;Mirza MB;Friston KJ
The active visual system comprises the visual cortices, cerebral attention networks, and oculomotor system. While fascinating in its own right, it is also an important model for sensorimotor networks in general. A prominent approach to studying this system is active inference—which assumes the brain makes use of an internal (generative) model to predict proprioceptive and visual input. This approach treats action as ensuring sensations conform to predictions (i.e., by moving the eyes) and posits that visual percepts are the consequence of updating predictions to conform to sensations. Under active inference, the challenge is to identify the form of the generative model that makes these predictions—and thus directs behavior. In this paper, we provide an overview of the generative models that the brain must employ to engage in active vision. This means specifying the processes that explain retinal cell activity and proprioceptive information from oculomotor muscle fibers. In addition to the mechanics of the eyes and retina, these processes include our choices about where to move our eyes. These decisions rest upon beliefs about salient locations, or the potential for information gain and belief-updating. A key theme of this paper is the relationship between “looking” and “seeing” under the brain's implicit generative model of the visual world.
登录
查看更多内容
影响因子:
--
作者:
BENSON, DF;GREENBERG, JP
通讯作者:
GREENBERG, JP
影响因子:
64.8
作者:
Blanke, O;Ortigue, S;Seeck, M
通讯作者:
Seeck, M
影响因子:
3.1
作者:
Ferro M;Ognibene D;Pezzulo G;Pirrelli V
通讯作者:
Pirrelli V
影响因子:
14.5
作者:
COOPER, S;DANIEL, PM
通讯作者:
DANIEL, PM
影响因子:
3.7
作者:
Auger SD;Mullally SL;Maguire EA
通讯作者:
Maguire EA