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VALIDITY EXPIRED
personal data approved: 2009. III. 12.
Personal data
name József Fiser
name of institution
doctoral school
BME Doctoral School of Psychology (Cognitive Science) (Academic staff member)
the share of work in the different doctoral schools. BME Doctoral School of Psychology (Cognitive Science) 100%
accreditation statement submitted to: Budapest University of Technology and Economics
Contact details
E-mail address fiserbrandeis.edu
phone number +36 1 463-1072
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 1997
discipline to which degree belongs computer sciences
institution granting the degree University of Southern California (to be translated)
scientific degree, title DSc
year degree was obtained 2007
discipline to which degree belongs psychology
institution granting the degree HAS
Employment
2012 - Central European University, Budapest
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now 6
number of students who fulfilled course requirements 3
students who obtained their degrees:
Benjamin White PhD 2012  
Henry Galperin PhD 2012  
Kimberley McKenzie PhD 2012  
(50%) E. Atkins Joseph 2003  

  Thesis topic proposals
Research
research area Computational, behavioral and neural exploration of how structured visual information is acquired and converted into sophisticated internal representations for controlling cognition and behavior
research field in which current research is conducted psychology
computer sciences
Publications
2008

Orbán, G., Fiser, J., Aslin, R.N., & Lengyel, M.: Bayesian learning of visual chunks by human observers., Proceedings of the National Academy of Sciences, pp. 2746-2750
type of document: Journal paper/Article
impact factor: 9.590
number of independent citations: 85
language: English
Full text 
2005

Fiser, J., & Aslin, R. N.: Encoding multi-element scenes: Statistical learning of visual feature hierarchies., Journal of Experimental Psychology: General, pp. 521-537
type of document: Journal paper/Article
impact factor: 3.690
number of independent citations: 84
language: English
URL 
2004

Fiser, J., Chiu, C., & Weliky, M.: Small modulation of ongoing cortical dynamics by sensory input during natural vision, Nature, pp. 573-578
type of document: Journal paper/Article
impact factor: 32.000
number of independent citations: 215
language: English
URL 
2002

Fiser, J., & Aslin, R. N.: Statistical learning of new visual feature combinations by infants, Proceedings of the National Academy of Sciences, pp. 15822-15826
type of document: Journal paper/Article
impact factor: 9.590
number of independent citations: 268
language: English
Full text 
2001

Fiser, J., & Aslin, R. N.: Unsupervised statistical learning of higher-order spatial structures from visual scenes, Psychological Science, pp. 499-504
type of document: Journal paper/Article
impact factor: 4.570
number of independent citations: 293
language: English
URL 
1998

Dobbins, A. C., Jeo, R. M., Fiser, J. and Allman, J. M.: Distance modulation of neural activity in the visual cortex., Science, pp. 552-555
type of document: Journal paper/Article
impact factor: 30.020
number of independent citations: 94
language: English
URL 
Number of independent citations to these publications:1039 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
0
number of scientific publications:
0
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
3 
scientific publications published abroad that meet the accreditation criteria:
0
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
0
number of independent citations to scientific publications and creative works:
0


2024. IV. 17.
ODT ülés
Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )