Загрузка страницы

How do we know what to learn? by Dr. Kazuhisa Shibata (Team Leader, Riken CBS)

【Title】How do we know what to learn? – Resolving the plasticity-stability dilemma in visual
perceptual learning

【Speaker】Kazuhisa Shibata, Team Leader,
Kazuhisa Shibata
Lab for Human Cognition and Learning
Center for Brain Science, RIKEN
Lab sites: https://cbs.riken.jp/en/faculty/k.shibata/

【Abstract】
In this talk, I will review psychophysical and neuroimaging studies that addressed an
essential question in learning: how do we know what to learn? This question is
important because the brain must learn new information processing to adapt to a
current environment while protect existing information processing from being replaced
with unimportant ones. The brain must have the mechanisms to resolve this so-called
plasticity-stability dilemma. As an example, I will focus on visual perceptual learning
(VPL), defined as the enhancement of sensitivity to a visual feature as a result of
experience on the feature. First, I will describe the complementary roles of attention and
reward in VPL of a visual feature depending on whether the feature is relevant to a
given task. Second, I will discuss the roles of the passage of time and the amount of
training in VPL of a visual feature when another feature is trained after training on the
feature. The results of the studies suggest that what to learn in VPL is determined by
multiple brain mechanisms, including attention, reinforcement signals evoked by reward,
and stabilization based on an excitatory to inhibitory balance in the visual cortex. These
findings may help us clarify how the brain resolves the plasticity-stability dilemma in
other learning types, such as memory and motor learning.

Please check out our web site too.
http://conscious-machine.org/club/

Araya Inc. https://www.araya.org/

Видео How do we know what to learn? by Dr. Kazuhisa Shibata (Team Leader, Riken CBS) канала Consciousness Club Tokyo
Показать
Комментарии отсутствуют
Введите заголовок:

Введите адрес ссылки:

Введите адрес видео с YouTube:

Зарегистрируйтесь или войдите с
Информация о видео
26 сентября 2020 г. 1:40:16
01:27:51
Другие видео канала
Decoding mental conflict between reward and curiosity in decision-making by Naoki HondaDecoding mental conflict between reward and curiosity in decision-making by Naoki Honda1/28 The brain as an information-theoretic engine by Hideaki Shimazaki1/28 The brain as an information-theoretic engine by Hideaki ShimazakiCanonical neural networks perform active inference by Takuya IsomuraCanonical neural networks perform active inference by Takuya IsomuraA Framework for a Conscious AI by Lenore Blum & Manuel BlumA Framework for a Conscious AI by Lenore Blum & Manuel BlumA no-report paradigm reveals that face cells multiplex consciously perceived and suppressed stimuli.A no-report paradigm reveals that face cells multiplex consciously perceived and suppressed stimuli.“Meta” processes in the Human Brain: A View from Multiscale Computations by Dr. Rei Akaishi“Meta” processes in the Human Brain: A View from Multiscale Computations by Dr. Rei AkaishiMetacognition for past and future decision making in primates by Kentaro MiyamotoMetacognition for past and future decision making in primates by Kentaro MiyamotoBrain-heart interactions at the edges of consciousness by Diego Candia-RiveraBrain-heart interactions at the edges of consciousness by Diego Candia-Rivera1/29 Beyond integrated information by Pedro Mediano1/29 Beyond integrated information by Pedro MedianoOur work on the role of the posterior cortex in human conscious perceptionby Kristian SandbergOur work on the role of the posterior cortex in human conscious perceptionby Kristian SandbergBeyond being-in-the-world: Projective and open awareness by Yuko IshiharaBeyond being-in-the-world: Projective and open awareness by Yuko Ishihara第2回数理脳科学セミナー『統計神経力学と多層ランダム神経回路―信号伝播とFisher情報』by 甘利俊一先生第2回数理脳科学セミナー『統計神経力学と多層ランダム神経回路―信号伝播とFisher情報』by 甘利俊一先生1/29 Reconciling emergences by Fernando Rosas1/29 Reconciling emergences by Fernando RosasConsciousness in the Cradle: On the Emergence of Infant Experience by Tim Bayne & Joel FrohlichConsciousness in the Cradle: On the Emergence of Infant Experience by Tim Bayne & Joel FrohlichInformation Closure Theory of Consciousness, Acer ChangInformation Closure Theory of Consciousness, Acer Chang第1回数理脳科学セミナー 「深層学習の源流と最近の理論の展望」 甘利俊一第1回数理脳科学セミナー 「深層学習の源流と最近の理論の展望」 甘利俊一On the link between conscious function and general intelligence in humans and machines by JulianiOn the link between conscious function and general intelligence in humans and machines by JulianiConsciousness as Data Assimilation by Prof. Doya (OIST)Consciousness as Data Assimilation by Prof. Doya (OIST)A Proposal of a Novel Variational Bayes Recurrent Neural Network Model... by Prof. TaniA Proposal of a Novel Variational Bayes Recurrent Neural Network Model... by Prof. Tani1/29 Coupled Empowerment Maximization by Christoph Salge,1/29 Coupled Empowerment Maximization by Christoph Salge,
Яндекс.Метрика