Physician
Anesthesiology
Dr. Thomas L. Griffiths, MD
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Thomas Griffiths is an expert in the field of Anesthesiology. Thomas Griffiths is a published MD as well. He has 65 publications published. The latest was: Relevant and Robust: A Response to Marcus and Davis (2013).
Publications
- Relevant and Robust: A Response to Marcus and Davis (2013).
- Identifying expectations about the strength of causal relationships.
- Inferring action structure and causal relationships in continuous sequences of human action.
- Win-Stay, Lose-Sample: a simple sequential algorithm for approximating Bayesian inference.
- Tracing the roots of syntax with Bayesian phylogenetics.
- Probabilistic models, learning algorithms, and response variability: sampling in cognitive development.
- Optimally designing games for behavioural research.
- A rational account of pedagogical reasoning: Teaching by, and learning from, examples.
- Analyzing the Rate at Which Languages Lose the Influence of a Common Ancestor.
- When children are better (or at least more open-minded) learners than adults: Developmental differences in learning the forms of causal relationships.
- One and Done? Optimal Decisions From Very Few Samples.
- Revealing human inductive biases for category learning by simulating cultural transmission.
- A role for the developing lexicon in phonetic category acquisition.
- Greater learnability is not sufficient to produce cultural universals.
- Why are people bad at detecting randomness? A statistical argument.
- Word-level information influences phonetic learning in adults and infants.
- The Effects of Cultural Transmission Are Modulated by the Amount of Information Transmitted.
- Cultural transmission results in convergence towards colour term universals.
- Individuals with cerebellar degeneration show similar adaptation deficits with large and small visuomotor errors.
- Rational randomness: the role of sampling in an algorithmic account of preschooler's causal learning.
- Testing the Efficiency of Markov Chain Monte Carlo With People Using Facial Affect Categories.
- Bayes and Blickets: Effects of Knowledge on Causal Induction in Children and Adults.
- A rational model of the effects of distributional information on feature learning.
- Predicting the future as Bayesian inference: People combine prior knowledge with observations when estimating duration and extent.
- How to grow a mind: statistics, structure, and abstraction.
- Rethinking language: how probabilities shape the words we use.
- Children's imitation of causal action sequences is influenced by statistical and pedagogical evidence.
- A tutorial introduction to Bayesian models of cognitive development.
- Subjective randomness and natural scene statistics.
- Rational approximations to rational models: alternative algorithms for category learning.
- Exemplar models as a mechanism for performing Bayesian inference.
- Uncovering mental representations with Markov chain Monte Carlo.
- A rational analysis of the effects of memory biases on serial reproduction.
- Learning the form of causal relationships using hierarchical bayesian models.
- Theory-based causal induction.
- The influence of categories on perception: explaining the perceptual magnet effect as optimal statistical inference.
- The Wisdom of Individuals: Exploring People's Knowledge About Everyday Events Using Iterated Learning.
- Latent features in similarity judgments: a nonparametric bayesian approach.
- Using category structures to test iterated learning as a method for identifying inductive biases.
- A rational analysis of rule-based concept learning.
- Google and the mind: predicting fluency with PageRank.
- Parametric embedding for class visualization.
- Can being scared cause tummy aches? Naive theories, ambiguous evidence, and preschoolers' causal inferences.
- Language evolution by iterated learning with bayesian agents.
- Topics in semantic representation.
- Iterated learning: intergenerational knowledge transmission reveals inductive biases.
- Innateness and culture in the evolution of language.
- Optimal predictions in everyday cognition.
- Structure and strength in causal induction.
- Finding scientific topics.
- A multidimensional scaling approach to mental multiplication.
- The child as econometrician: a rational model of preference understanding in children.
- A Bayesian framework for word segmentation: exploring the effects of context.
- The evolution of frequency distributions: relating regularization to inductive biases through iterated learning.
- Review. Theoretical and empirical evidence for the impact of inductive biases on cultural evolution.
- Introduction. Cultural transmission and the evolution of human behaviour.
- Theory-based Bayesian models of inductive learning and reasoning.
- Probabilistic inference in human semantic memory.
- From mere coincidences to meaningful discoveries.
- Probabilistic models of cognition: exploring representations and inductive biases.
- A probabilistic model of theory formation.
- Probabilistic models of cognitive development: towards a rational constructivist approach to the study of learning and development.
- Words as alleles: connecting language evolution with Bayesian learners to models of genetic drift.
- Modeling human performance in statistical word segmentation.
Doctors Specialties
- Geriatric Medicine
- Anesthesiology
Accepted Insurances
- Kaiser PHCS Network PPO
- MultiPlan PPO
- PHCS Network PPO
Education
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University of California San Diego
Helpful Reviews
Medicare Facts
| National Provider Identifier [NPI] | 1780788703 |
| Last Name Of The Provider | GRIFFITHS |
| First Name Of The Provider | THOMAS |
| View All |
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