4.7 Article

Using human brain activity to guide machine learning

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Leveraging the Wisdom of the Crowd for Fine-Grained Recognition

Jia Deng et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2016)

Article Multidisciplinary Sciences

Hybrid computing using a neural network with dynamic external memory

Alex Graves et al.

NATURE (2016)

Proceedings Paper Computer Science, Artificial Intelligence

Do computational models differ systematically from human object perception?

R. T. Pramod et al.

2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2016)

Article Multidisciplinary Sciences

Human-level control through deep reinforcement learning

Volodymyr Mnih et al.

NATURE (2015)

Article Computer Science, Artificial Intelligence

Perceptual Annotation: Measuring Human Vision to Improve Computer Vision

Walter J. Scheirer et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2014)

Article Multidisciplinary Sciences

Performance-optimized hierarchical models predict neural responses in higher visual cortex

Daniel L. K. Yamins et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2014)

Article Computer Science, Artificial Intelligence

Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study

Ali Borji et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2013)

Article Computer Science, Artificial Intelligence

Behavior-Constrained Support Vector Machines for fMRI Data Analysis

Danmei Chen et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2010)

Article Computer Science, Artificial Intelligence

Object Detection with Discriminatively Trained Part-Based Models

Pedro F. Felzenszwalb et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2010)

Article Neurosciences

Bayesian Reconstruction of Natural Images from Human Brain Activity

Thomas Naselaris et al.

NEURON (2009)

Review Behavioral Sciences

Does Cognitive Science Need Kernels?

Frank Jaekel et al.

TRENDS IN COGNITIVE SCIENCES (2009)

Article Biochemical Research Methods

A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation

Nicolas Pinto et al.

PLOS COMPUTATIONAL BIOLOGY (2009)

Article Multidisciplinary Sciences

Identifying natural images from human brain activity

Kendrick N. Kay et al.

NATURE (2008)

Article Multidisciplinary Sciences

Predicting human brain activity associated with the meanings of nouns

Tom M. Mitchell et al.

SCIENCE (2008)

Article Multidisciplinary Sciences

Individual faces elicit distinct response patterns in human anterior temporal cortex

Nikolaus Kriegeskorte et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2007)

Article Multidisciplinary Sciences

A feedforward architecture accounts for rapid categorization

Thomas Serre et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2007)

Article Behavioral Sciences

Theory-based Bayesian models of inductive learning and reasoning

Joshua B. Tenenbaum et al.

TRENDS IN COGNITIVE SCIENCES (2006)