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personal data approved: 2018. V. 31.
Personal data
Attila Andics
name Attila Andics
name of institution
doctoral school
ELTE Doctoral School of Biology (Supervisor)
Contact details
E-mail address attila.andicsttk.elte.hu
phone number +36 30 476-5518
Academic title
scientific degree, title Ph.D.
year degree was obtained 2013
discipline to which degree belongs multidisciplinary natural sciences
institution granting the degree Radboud University Nijmegen
Employment
2015 - Eötvös Loránd University, Budapest
egyetemi kutató
Thesis topic supervisor
number of doctoral students supervised until now 1.5
number of students who fulfilled course requirements 0
students who obtained their degrees:
students with degree granting in process:
(50%) Anna Gábor PhD (2020/11)  DSB-ELTE
present PhD students:
Melinda Lovas (PhD) (2020/08)  DSB-ELTE
  Thesis topic proposals
Research
research area comparative cognitive neuroscience
research field in which current research is conducted biology
Publications
2018

Andics A, Miklósi Á: Neural processes of vocal social perception: Dog-human comparative fMRI studies, NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS 85: pp. 54-64.
type of document: Journal paper/Review paper
language: English
DOI 
2018

Attila Andics, Tamás Faragó: Voice Perception Across Species, In: Szerk.: Sascha Frühholz, Szerk.: Pascal Belin Oxford Handbook of Voice Perception. Oxford: Oxford University Press, 2018. p. &.
type of document: Part of book/Könyvfejezet (to be translated)
language: English
2017

Bunford Nora, Andics Attila, Kis Anna, Miklosi Adam, Gacsi Marta: Canis familiaris As a Model for Non-Invasive Comparative Neuroscience, TRENDS IN NEUROSCIENCES 40: (7) pp. 438-452.
type of document: Journal paper/Article
language: English
URL 
2016

Andics A, Gábor A, Gácsi M, Faragó T, Szabó D, Miklósi Á: Neural mechanisms for lexical processing in dogs, SCIENCE 353: (6303) pp. 1030-1032.
type of document: Journal paper/Article
number of independent citations: 33
language: English
URL 
2014

Faragó Tamás, Andics Attila, Devecseri Viktor, Kis Anna, Gácsi Márta, Miklósi Ádám: Humans rely on the same rules to assess emotional valence and intensity in conspecific and dog vocalizations, BIOLOGY LETTERS 10: (1) 4 p. Paper 20130926.
type of document: Journal paper/Article
number of independent citations: 8
language: English
DOI 
2014

Andics Attila, Gácsi Márta, Faragó Tamás, Kis Anna, Miklósi Ádám: Voice-sensitive regions in the dog and human brain are revealed by comparative fMRI, CURRENT BIOLOGY 24: (5) pp. 574-578.
type of document: Journal paper/Article
number of independent citations: 19
language: English
Full text 
2013

Andics A, Gál V, Vicsi K, Rudas G, Vidnyánszky Z: FMRI repetition suppression for voices is modulated by stimulus expectations, NEUROIMAGE 69: pp. 277-283.
type of document: Journal paper/Article
number of independent citations: 7
language: English
URL 
2013

Andics A, McQueen JM, Petersson KM: Mean-based neural coding of voices, NEUROIMAGE 79: pp. 351-360.
type of document: Journal paper/Article
number of independent citations: 1
language: English
DOI 
2013

Andics A : Who is talking? Behavioural and neural evidence for norm-based coding in voice identity learning., Nijmegen: Radboud Universiteit, 214 p. 73
type of document: Book/Monography
language: English
URL 
2010

Andics A, McQueen J M, Petersson K M, Gál V, Rudas G, Vidnyánszky Z: Neural mechanisms for voice recognition, NEUROIMAGE 52: (4) pp. 1528-1540.
type of document: Journal paper/Article
number of independent citations: 52
language: English
DOI 
Number of independent citations to these publications:120 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
14
number of scientific publications:
35
monographs and professional books:
1
monographs/books in which chapters/sections were contributed:
1 
number of independent citations to scientific publications and creative works:
223

 
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. )