Using Deep Convolutional Neural Networks to Develop the Next Generation of Sensors for Interpreting Real World EEG Signals Part 1: Sensing Visual System Function in Naturalistic Environments

, , , , &
Frontiers in Human Neuroscience 12 (2018)
  Copy   BIBTEX

Abstract

This article has no associated abstract. (fix it)

Categories

Keywords

Reprint years

DOI

10.3389/conf.fnhum.2018.227.00023

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 92,168

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

My notes

Similar books and articles

Using Deep Convolutional Neural Networks to Develop the Next Generation of Sensors for Interpreting Real World EEG Signals Part 2: Developing Sensors for Vigilance Detection.Jonathan McDaniel, Amelia Solon, Vernon Lawhern, Jason Metcalfe, Amar Marathe & Stephen Gordon - 2018 - Frontiers in Human Neuroscience 12.
Decoding P300 Variability Using Convolutional Neural Networks.Amelia J. Solon, Vernon J. Lawhern, Jonathan Touryan, Jonathan R. McDaniel, Anthony J. Ries & Stephen M. Gordon - 2019 - Frontiers in Human Neuroscience 13.
Social Trait Information in Deep Convolutional Neural Networks Trained for Face Identification.Connor J. Parde, Ying Hu, Carlos Castillo, Swami Sankaranarayanan & Alice J. O'Toole - 2019 - Cognitive Science 43 (6):e12729.
Intelligent Image Recognition System for Marine Fouling Using Softmax Transfer Learning and Deep Convolutional Neural Networks.C. S. Chin, JianTing Si, A. S. Clare & Maode Ma - 2017 - Complexity:1-9.
Neural substrates of visual percepts, imagery, and hallucinations.Stephen Grossberg - 2002 - Behavioral and Brain Sciences 25 (2):194-195.
General organizational principles of the brain as key to the study of animal consciousness.Ruud van den Bos - 2000 - PSYCHE: An Interdisciplinary Journal of Research On Consciousness 6.
Deep Convolutional Neural Networks Outperform Feature-Based But Not Categorical Models in Explaining Object Similarity Judgments.M. Jozwik Kamila, Kriegeskorte Nikolaus, R. Storrs Katherine & Mur Marieke - 2017 - Frontiers in Psychology 8.
Convolutional networks for images, speech, and time series.Yann LeCun & Yoshua Bengio - 1995 - In Michael A. Arbib (ed.), Handbook of Brain Theory and Neural Networks. MIT Press. pp. 3361.
Impulse Processing: A Dynamical Systems Model of Incremental Eye Movements in the Visual World Paradigm.Anuenue Kukona & Whitney Tabor - 2011 - Cognitive Science 35 (6):1009-1051.
Some Neural Networks Compute, Others Don't.Gualtiero Piccinini - 2008 - Neural Networks 21 (2-3):311-321.
Computational Functionalism for the Deep Learning Era.Ezequiel López-Rubio - 2018 - Minds and Machines 28 (4):667-688.
Analogy making in legal reasoning with neural networks and fuzzy logic.Jürgen Hollatz - 1999 - Artificial Intelligence and Law 7 (2-3):289-301.
Explicit neural representations, recursive neural networks and conscious visual perception.Daniel A. Pollen - 2003 - Cerebral Cortex 13 (8):807-814.
Color and Other Illusions: A Philosophical Theory of Vision.Ian Jeffrey Gold - 1993 - Dissertation, Princeton University
Autonomous cognitive systems in real-world environments: Less control, more flexibility and better interaction.Vincent C. Müller - 2012 - Cognitive Computation 4 (3):212-215.

Analytics

Added to PP
2019-09-28

Downloads
14 (#993,927)

6 months
4 (#796,773)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Ari Marcelo Solon
Universidade de São Paulo

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references