Literature DB >> 8632824

Speed of processing in the human visual system.

S Thorpe1, D Fize, C Marlot.   

Abstract

How long does it take for the human visual system to process a complex natural image? Subjectively, recognition of familiar objects and scenes appears to be virtually instantaneous, but measuring this processing time experimentally has proved difficult. Behavioural measures such as reaction times can be used, but these include not only visual processing but also the time required for response execution. However, event-related potentials (ERPs) can sometimes reveal signs of neural processing well before the motor output. Here we use a go/no-go categorization task in which subjects have to decide whether a previously unseen photograph, flashed on for just 20 ms, contains an animal. ERP analysis revealed a frontal negativity specific to no-go trials that develops roughly 150 ms after stimulus onset. We conclude that the visual processing needed to perform this highly demanding task can be achieved in under 150 ms.

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Year:  1996        PMID: 8632824     DOI: 10.1038/381520a0

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  638 in total

1.  Perceptual and semantic sources of category-specific effects: event-related potentials during picture and word categorization.

Authors:  M Kiefer
Journal:  Mem Cognit       Date:  2001-01

2.  Noise shaping in populations of coupled model neurons.

Authors:  D J Mar; C C Chow; W Gerstner; R W Adams; J J Collins
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-31       Impact factor: 11.205

3.  Correlations and the encoding of information in the nervous system.

Authors:  S Panzeri; S R Schultz; A Treves; E T Rolls
Journal:  Proc Biol Sci       Date:  1999-05-22       Impact factor: 5.349

4.  Correlated firing in macaque visual area MT: time scales and relationship to behavior.

Authors:  W Bair; E Zohary; W T Newsome
Journal:  J Neurosci       Date:  2001-03-01       Impact factor: 6.167

5.  Fast propagation of firing rates through layered networks of noisy neurons.

Authors:  Mark C W van Rossum; Gina G Turrigiano; Sacha B Nelson
Journal:  J Neurosci       Date:  2002-03-01       Impact factor: 6.167

6.  Scene memory is more detailed than you think: the role of categories in visual long-term memory.

Authors:  Talia Konkle; Timothy F Brady; George A Alvarez; Aude Oliva
Journal:  Psychol Sci       Date:  2010-10-04

7.  On the time-course of adjacent and non-adjacent transposed-letter priming.

Authors:  Maria Ktori; Brechtsje Kingma; Thomas Hannagan; Phillip J Holcomb; Jonathan Grainger
Journal:  J Cogn Psychol (Hove)       Date:  2014-08-01

8.  Rapid natural scene categorization in the near absence of attention.

Authors:  Fei Fei Li; Rufin VanRullen; Christof Koch; Pietro Perona
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-20       Impact factor: 11.205

9.  Detecting and remembering simultaneous pictures in a rapid serial visual presentation.

Authors:  Mary C Potter; Laura F Fox
Journal:  J Exp Psychol Hum Percept Perform       Date:  2009-02       Impact factor: 3.332

10.  Disentangling the Independent Contributions of Visual and Conceptual Features to the Spatiotemporal Dynamics of Scene Categorization.

Authors:  Michelle R Greene; Bruce C Hansen
Journal:  J Neurosci       Date:  2020-05-28       Impact factor: 6.167

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