Contextual inference in learning and memory

JB Heald, M Lengyel, DM Wolpert - Trends in cognitive sciences, 2023 - cell.com
Context is widely regarded as a major determinant of learning and memory across
numerous domains, including classical and instrumental conditioning, episodic memory …

Machine learning for battery research

Z Wei, Q He, Y Zhao - Journal of Power Sources, 2022 - Elsevier
Batteries are vital energy storage carriers in industry and in our daily life. There is continued
interest in the developments of batteries with excellent service performance and safety …

Human-like systematic generalization through a meta-learning neural network

BM Lake, M Baroni - Nature, 2023 - nature.com
The power of human language and thought arises from systematic compositionality—the
algebraic ability to understand and produce novel combinations from known components …

Transmission versus truth, imitation versus innovation: What children can do that large language and language-and-vision models cannot (yet)

E Yiu, E Kosoy, A Gopnik - Perspectives on Psychological …, 2024 - journals.sagepub.com
Much discussion about large language models and language-and-vision models has
focused on whether these models are intelligent agents. We present an alternative …

[LIVRE][B] Surfing uncertainty: Prediction, action, and the embodied mind

A Clark - 2015 - books.google.com
How is it that thoroughly physical material beings such as ourselves can think, dream, feel,
create and understand ideas, theories and concepts? How does mere matter give rise to all …

Human-level concept learning through probabilistic program induction

BM Lake, R Salakhutdinov, JB Tenenbaum - Science, 2015 - science.org
People learning new concepts can often generalize successfully from just a single example,
yet machine learning algorithms typically require tens or hundreds of examples to perform …

[LIVRE][B] Transformative experience

LA Paul - 2014 - books.google.com
As we live our lives, we repeatedly make decisions that shape our future circumstances and
affect the sort of person we will be. When choosing whether to start a family, or deciding on a …

[LIVRE][B] Making minds: How theory of mind develops

HM Wellman - 2014 - books.google.com
Developmental psychologists coined the term" theory of mind" to describe how we
understand our shifting mental states in daily life. Over the past twenty years researchers …

Reconstructing constructivism: causal models, Bayesian learning mechanisms, and the theory theory.

A Gopnik, HM Wellman - Psychological bulletin, 2012 - psycnet.apa.org
We propose a new version of the “theory theory” grounded in the computational framework
of probabilistic causal models and Bayesian learning. Probabilistic models allow a …

[PDF][PDF] One shot learning of simple visual concepts

B Lake, R Salakhutdinov, J Gross… - Proceedings of the …, 2011 - escholarship.org
People can learn visual concepts from just one example, but it remains a mystery how this is
accomplished. Many authors have proposed that transferred knowledge from more familiar …