Vincze, D., Gácsi, M., Kovács, S., Niitsuma, M., Korondi, P., Miklósi, Á. 2021. Towards the automatic observation and coding of simple behaviours in ethological experiments. Proc. IEEE/SICE Int. Symp. on System Integrations (SII), Iwaki, Fukushima, Japán, 841-842. doi: 10.1109/IEEECONF49454.2021.9382651

2020

Bálint, A., Andics, A., Gácsi, M., Gábor, A., Czeibert, K., Luce, M. L., Miklósi, Á., Kröger, R. H.H. 2020 Dogs can sense weak thermal radiation. Scientific Reports, 10: 3736. doi: 10.1038/s41598-020-60439-y

Boros, M., Gábor, A, Szabó, D., Bozsik, A., Gácsi, M., Szalay, F., Faragó, T., Andics, A. 2020. Repetition enhancement to voice identities in the dog brain. Scientific Reports, 10: 3989. doi: 10.1038/s41598-020-60395-7

Bódizs, R., Kis, A., Gácsi, M., Topál, J. 2020. Sleep in the dog: comparative, behavioral and translational relevance. Current Opinion in Behavioral Sciences, 33: 25–33. doi: /10.1016/j.cobeha.2019.12.006

Carballo, F., Cavalli, C.M., Gácsi, M., Miklósi, Á. and Kubinyi, E. 2020. Assistance and therapy dogs are better problem solvers than both trained and untrained family dogs. Frontiers in Veterinary Science, 7: 164. doi: 10.3389/fvets.2020.00164

Delanoeije, J., Gerencsér, L., Miklósi, Á. 2020. Do dogs mind the dots? Investigating domestic dogs’ (Canis familiaris) preferential looking at human-shaped point-light figures. Wiley Online Library, 00: 1–14. doi:  10.1111/eth.13016

Ferdinandy, B., Gerencsér, L., Corrieri, L., Perez, P., Újváry, D., Csizmadia, G., Miklósi, Á. 2020. Challenges of machine learning model validation using correlated behaviour data: Evaluation of cross-validation strategies and accuracy measures. PLoS ONE, 15: e0236092. doi: 10.1371/journal.pone.0236092

Ferdinandy, B., Guerrero-Higueras, A. M., Verderber, É., Rodríguez-Lera, F. J., Miklósi, Á. 2020. Exploratory study of introducing HPC to non-ICT researchers: institutional strategy is possibly needed for widespread adaption. The Journal of Supercomputing, online press, doi: 10.1007/s11227-020-03438-0

Fugazza, C., Miklósi, Á. 2020. Depths and limits of spontaneous categorization in a family dog. Scientific Reports, 10: 3082. doi: 10.1038/s41598-020-59965-6

Fugazza, C., Miklósi, Á. 2020 How to make smoke without fire. Minds are (not) just trainable machines. Learning & Behavior, pressed online. doi:  10.3758/s13420-020-00447-0

Fugazza, C., Sommese, A., Pogány, Á., Miklósi, Á. 2020. Did we find a copycat? Do as I Do in a domestic cat (Felis catus). Animal Cognition, doi: 10.1007/s10071-020-01428-6

Fugazza, C., Pongrácz, P., Pogány, Á., Lenkei, R., Miklósi, Á. 2020. Mental representation and episodic-like memory of own actions in dogs. Scientific reports, 10: 10449. doi: 10.1038/s41598-020-67302-0

Gábor, A., Gácsi, M., Szabó, D., Miklósi, Á., Kubinyi, E., Andics, A. 2020. Multilevel fMRI adaptation for spoken word processing in the awake dog brain. Scientific Reports, 10: 11968. doi: 10.1038/s41598-020-68821-6

Gnanadesikan, G. E., Hare, B., Snyder-Mackler, N., Call, J., Kaminski, J., Miklósi, Á. MacLean, E. L. 2020. Breed differences in dog cognition associated with brain-expressed genes and neurological functions. Integrative & Comparative Biology, icaa112. doi: 10.1093/icb/icaa112

Gunde, E., Czeibert, K., Gábor, A., Szabó, D., Kis, A., Arany-Tóth, A., Andics, A., Gácsi, M., Kubinyi, E. 2020. Longitudinal volumetric assessment of ventricular enlargement in pet dogs trained for functional magnetic resonance imaging (fMRI) studies. Veterinary Sciences, 7: 127. doi: 10.3390/vetsci7030127

Koller, D., Kubinyi, E., Elek, Zs., Németh, H., Miklósi, Á., Sasvári-Székely, M., Rónai, Zs. 2020. The molecular effect of a polymorphic microRNA binding site of Wolfram syndrome 1 gene in dogs. BMC Genetics, 21: 82. doi: 10.1186/s12863-020-00879-7

Korcsok, B., Faragó, T., Ferdinandy, B., Miklósi Á., Korondi, P., Gácsi, M. 2020.  Artificial sounds following biological rules: A novel approach for non-verbal communication in HRI. Scientific Reports, 10: 7080. doi: 10.1038/s41598-020-63504-8

Kubinyi, E., Szánthó, F., Gilmert, E., Iotchev, I. B., & Miklósi, Á. 2020. Human expressions of object preference affect dogs’ perceptual focus, but not their action choices. Frontiers in Psychology, 11: 588916-588916. doi: 10.3389/fpsyg.2020.588916

Reicher, V., Kis, A., Simor, P., Bódizs, R., Gombos, F., Gácsi, M. 2020. Repeated afternoon sleep recordings indicate first-night-effect-like adaptation process in family dogs. Journal of Sleep Research, 06: e12998. doi: 10.1111/jsr.12998

Salamon, A., Száraz J., Miklósi, Á., Gácsi, M. 2020. Movement and vocal intonation together evoke social referencing in companion dogs when confronted with a suspicious stranger. Animal Cognition, published online. doi: 10.1007/s10071-020-01401-3

Sándor, K., Miklósi, Á. 2020. How to report anecdotal observations? A new approach based on a lesson from “puffin tool use”. Frontiers in Psychology, doi: 10.3389/fpsyg.2020.555487

Temesi, A., Bunford, N., Miklósi, Á. 2020. Associations among attitudes towards motherhood, pet-keeping, and postpartum depression symptoms. Biologia Futura, (): 1-12. doi: 10.1007/s42977-020-00007-7

Ujfalussy, D., Virányi, Z., Gácsi, M., Faragó, T., Pogány, Á., Bereczky, B. M., Miklósi, Á., Kubinyi, E. 2020. Comparing the tractability of young hand-raised wolves (Canis lupus) and dogs (Canis familiaris). Scientific Reports, 10: 14678.doi: 10.1038/s41598-020-71687-3 

Watowich, M. M., MacLean, E. L., Hare. B., Call, J., Kaminski, J., Miklósi, Á., Synder-Mackler, N. 2020. Age influences domestic dog cognitive performance independent of average breed lifespan. Animal Cognition, (): 1-11. doi: 10.1007/s10071-020-01385-0

2019

Bálint, A., Eleőd, H., Körmendi, J., Bódizs, R., Reicher, V., Gácsi, M. 2019. Potential physiological parameters to indicate inner states in dogs: The analysis of ECG, and respiratory signal during different sleep phases. Frontiers in Behavioral Neuroscience, section Individual and Social Behaviors. doi: 10.3389/fnbeh.2019.00207

Bunford N, Csibra B, Gácsi M (2019) Individual differences in response to ambiguous stimuli in a modified Go/No-Go paradigm are associated with personality in family dogs. Scientific Riports, 9: 11067, doi: 10.1038/s41598-019-47510-z

Bunford, N., Csibra, B., Peták, C., Ferdinandy, B., Miklósi, Á., Gácsi, M. 2019. Associations among behavioral inhibition and owner-rated attention, hyperactivity/impulsivity, and personality in the Domestic dog (Canis familiaris). Journal of Comparative Psychology, 133: 233-243. doi: 10.1037/com0000151

Bódizs, R., Kis, A., Gácsi, M., Topál, J. 2019. Sleep in the dog: comparative, behavioral and translational relevance. Current Opinion in Behavioral Sciences, 33: 25-33. doi: 10.1016/j.cobeha.2019.12.006

Garamszegi, L. Zs., Temrin, H., Kubinyi, E., Miklósi, Á., Kolm, N. 2019. The role of common ancestry and gene flow in the evolution of human-directed play behaviour in dogs. Journal of Evolutionary Biology, 33: 318-328. doi: 10.1111/jeb.13567

Gábor, A., Kaszás, N., Miklósi, Á., Faragó, T., Andics, A. 2019. Interspecific voice discrimination in dogs. Biologia Futura, 70: 121–127. doi: 10.1556/019.70.2019.15

Horschler, D. J., Hare, B., Call, J., Kaminski, J., Miklósi, Á., MacLean, E. L. 2019. Absolute brain size predicts dog breed differences in executive function. Animal Cognition, 22: 187-198. doi: 10.1007/s10071-018-01234-1

Lehoczki, F., Szamosvölgyi, Zs., Miklósi, Á., Faragó, T. 2019. Dogs’ sensitivity to strange pup separation calls: pitch instability increases attention regardless of sex and experience. Animal Behaviour, 153:115-129. doi: 10.1016/j.anbehav.2019.05.010

Szabó, D., Czeibert, K., Kettinger, Á., Gácsi, M., Andics, A., Miklósi, Á., Kubinyi, E. 2019. Resting-state fMRI data of awake dogs (Canis familiaris) via group-level independent component analysis reveal multiple, spatially distributed resting-state networks. Sci Rep. 9: 15270. doi: 10.1038/s41598-019-51752-2

2018

Abdai, J., Baño Terencio, C., Pérez Fraga, P, Miklósi, Á. 2018. Investigating jealous behaviour in dogs. Scientific Reports, 8: 8911. doi: 10.1038/s41598-018-27251

Abdai, J. Miklósi, Á. 2018. Poking the future: When should we expect that Animal-Robot interaction becomes a routine method in the study of behavior? Animal Behavior and Cognition, 5: 321–325. doi: 10.26451/abc.05.04.01.2018

Abdai, J., Korcsok, B., Korondi, P., Miklósi, Á. 2018. Methodological challenges of the use of robots in ethological research. Animal Behavior and Cognition, 5: 326-340. doi: 10.26451/abc.05.04.02.2018

Andics, A., Miklósi, Á. 2018. Neural processes of vocal social perception: Dog-human comparative fMRI studies. Neuroscience & Biobehavioral Reviews, 85: 54-64. doi: 10.1016/j.neubiorev.2017.11.017

Bunford, N., Reicher, V., Kis, A., Pogány, Á., Gombos, F., Bódizs, R., Gácsi, M. 2018. Differences in pre-sleep activity and sleep location are associated with variability in daytime/nighttime sleep electrophysiology in the domestic dog. Scientific Reports, 8: 7109. doi: 10.1038/s41598-018-25546-x

Corrieri, L., Adda, M., Miklósi, Á., Kubinyi, E. 2018. Companion and free-ranging Bali dogs: Environmental links with personality traits in an endemic dog population of South East Asia. PlOS ONE, 13: e0197354. doi: 10.1371/journal.pone.0197354

Fugazza, C., Moesta, A., Pogány, Á., Miklósi, Á. 2018. Presence and lasting effect of social referencing in dog puppies. Animal Behaviour, 141: 67-75. doi: 10.1016/j.anbehav.2018.05.007

Fugazza, C., Moesta, A., Pogány, Á., Miklósi, Á. 2018. Social learning from conspecifics and humans in dog puppies. Scientific Reports, 8: 9257. doi: 10.1038/s41598-018-27654-0.

Gerencsér, L., Bunford, N., Moesta, A., Miklósi, Á. 2018. Development and validation of the Canine reward responsiveness scale – Examining individual differences in reward responsiveness of the domestic dog. Scientific Reports, 8: 4421. doi: 10.1038/s41598-018-22605-1

Konok, V., Korcsok, B., Miklósi, Á., Gácsi, M. 2018. Should we love robots? – The most liked qualities of companion dogs and how they can be implemented in social robots.  Computers in Human Behavior, 80: 132-142. doi: 10.1016/j.chb.2017.11.002

Korcsok, B., Konok, V., Persa, Gy., Faragó, T., Niitsuma, M., Miklósi, Á., Korondi, P., Baranyi, P., Gácsi, M. 2018. Biologically inspired emotional expressions for artificial agents. Frontiers in Psyhchology, 9: 1191. doi: 10.3389/fpsyg.2018.01191

Kovács, K., Virányi, Zs., Kis, A., Turcsán, B., Hudecz, Á., Marmota, M. T., Koller, D., Rónai, Zs., Gácsi, M., Topál, J. 2018. Dog-owner attachment is associated with oxytocin receptor gene polymorphisms in both Pprties. A comparative study on austrian and hungarian border collies. Frontiers in Psychology, 9: 435. doi: 10.3389/fpsyg.2018.00435

Szabó, D., Miklósi, Á., Kubinyi, E. 2018. Owner reported sensory impairments affect behavioural signs associated with cognitive decline in dogs. Behavioural processes, 157: 354-360. doi: 10.1016/j.beproc.2018.07.013

2017

Abdai, J., Baño Terencio, C., Miklósi, Á. 2017. Novel approach to study the perception of animacy in dogs. PLOS ONE, 12: e0177010. doi: 10.1371/journal.pone.0177010

Abdai, J., Ferdinandy, B., Baño Terencio, C., Pogány, Á., Miklósi, Á. 2017. Perception of animacy in dogs and humans. Biology Letters, 13: 20170156. doi: 10.1098/rsbl.2017.0156

Bálint, A., Rieger, G., Miklósi, Á., Pongrácz, P. 2017. Assessment of owner-directed aggressive behavioural tendencies of dogs in situations of possession and manipulation, Royal Society Open Science, 4: 171040. doi: 10.1098/rsos.171040

Bunford, N., Andics, A., Kis, A., Miklósi, Á., Gácsi, M. 2017. Canis familiaris as a model for non-invasive comparative neuroscience. Trends in Neurosciences, 40: 438-452. doi: 10.1016/j.tins.2017.05.003

Faragó, T., Takács, N., Miklósi, Á, Pongrácz, P. 2017. Dog growls express various contextual and affective content for human listeners. Royal Society Open Science, 4: 5. doi: 10.1098/rsos.170134

Ferdinandy, B., Ozogány, K., Vicsek, T. 2017.  Collective motion of groups of self-propelled particles following interacting leaders. Physica A, 479: 467-477. doi: 10.1016/j.physa.2017.03.025

Gácsi, M. 2017. Beyond the provable? Commentary on Kujala on Canine emotions. Animal Sentience, 14: 12.

Kis, A., Szakadát, S., Gácsi, M., Kovács, E., Simor, P., Török, Cs., Gombos, F., Bódizs, R., Topál. J. 2017. The interrelated effect of sleep and learning in dogs (Canis familiaris); an EEG and behavioural study. Scientific Reports, 7: 41873. doi:10.1038/srep41873

Konok, V., Pogány, Á., Miklósi, Á. 2017. Mobile attachment: Separation from the mobile induces physiological and behavioural stress and attentional bias to separation-related stimuli. Computers In Human Behavior, 71: 228-239. doi: 10.1016/j.chb.2017.02.002

Kubinyi, E., Bence, M., Koller, D., Wan, M., Pergel, E., Ronai, Zs., Sasvári-Székely, M., Miklósi, Á. 2017. Oxytocin and opioid receptor gene polymorphisms associated with greeting behavior in dogs. Frontiers in Pshycology, 8: 1520. doi: 10.3389/fpsyg.2017.01520

Marshall-Pescini, S., Virányi, Zs., Kubinyi, E., Range, F. 2017. Motivational factors underlying problem solving: comparing wolf and dog puppies’ explorative and neophobic behaviors at 5, 6, and 8 weeks of age. Frontiers in Psychology, 8: 180.doi: 10.3389/fpsyg.2017.00180

Miklósi, Á., Korondi, P., Matellán, V., Gácsi, M. 2017. Ethorobotics: A new approach to human-robot relationship. Frontiers in Psychology, 8: 958. doi: 10.3389/fpsyg.2017.00958 

Pongrácz, P., Lenkei, R., Marx, A., Faragó, T. 2017. Should I whine or should I bark? Qualitative and quantitative differences between the vocalizations of dogs with and without separation-related symptoms. Applied Animal Behaviour Science, 196: 61-68. 10.1016/j.applanim.2017.07.002

Pongrácz, P., Ujvári, V., Faragó, T., Miklósi, Á., Péter, A. 2017. Do you see what I see? The difference between dog and human visual perception may affect the outcome of experiments. Behavioural Processes, 140: 53-60. doi: 10.1016/j.beproc.2017.04.002 

Pongrácz, P., Péter, A., Miklósi, Á. 2017. Familiarity with images affects how dogs (Canis familiaris) process life-size video projections of humans. The Quarterly Journal of Experimental Psychology, 71: 1457-1468. doi: 10.1080/17470218.2017.1333623

Szabó D., Mills, D. S., Range. F., Virányi, Zs., MIklósi. Á. 2017. Is a local sample internationally representative? Reproducibility of four cognitive tests in family dogs across testing sites and breeds. Animal Cognition, 20: 1019-1033. doi: 10.1007/s10071-017-1133-3.

Szánthó, F., Miklósi, Á., Kubinyi, E. 2017. Is your dog empathic? Developing a dog emotional reactivity survey. PLoS ONE, 12: e0170397. doi: 0.1371/journal.pone.0170397

Temesi, A., Thuróczy, J., Balogh, L., Miklósi, Á. 2017. Increased serum and urinary oxytocin concentrations after nasal administration in beagle dogs. Frontiers in Veterinary Science, 4: 147. doi: 10.3389/fvets.2017.00147

Turcsán, B., Miklósi, Á., Kubinyi, E. 2017. Owner perceived differences between mixed-breed and purebred dogs. PLOS ONE, 12: e0172720, doi: 10.1371/journal.pone.0172720

Ujfalussy, D., Kurys, A., Kubinyi, E., Gácsi, M., Virányi, Zs. 2017. Differences in greeting behaviour towards humans with varying levels of familiarity in hand-reared wolves (Canis lupus). The Royal Society Open Science, 4: 160956. doi: 10.1098/rsos.160956  

2016

Andics A., Gábor A., Gácsi M., Faragó T., Szabó D., Miklósi Á. 2016. Neural mechanisms for lexical processing in dogs. Science, 353: 1030-1032.

Bence, M., Marx, P., Szantai, E., Kubinyi, E., Ronai, Z., Banlaki Z. 2016. Lessons from the canine Oxtr gene: populations, variants and functional aspects. Genes, Brain, Behavior, 16: 427-438. doi: 10.1111/gbb.12356

Fugazza, C., Pogány, Á., Miklósi, Á. 2016. Recall of others’ actions after incidental encoding reveals episodic-like memory in dogs. Current Biology, 26: 3209-3213.

Gácsi M., Kis A., Faragó T., Janiak M,, Muszyński R., Miklósi Á. 2016. Humans are able to attribute emotions to a robot showing simple behavioural patterns borrowed from dog behaviour. Computers in Human Behavior, 59: 411-419.

Gerencsér L., Kosztolányi A., Delanoeije J., Miklósi Á. 2016. The effect of reward-handler dissociation on dogs’ obedience performance in different conditions. Applied Animal Behaviour Science, 174: 103-110.

Gergely A., Compton A. B., Newberry R. C., Miklósi Á. 2016. Social Interaction with an “Unidentified Moving Object” elicits A-Not-B error in domestic dogs. PLoS ONE, 11: e0151600

Konok V., Gigler D., Bereczky B. M., Miklósi Á. 2016. Humans’ attachment to their mobile phones and its relationship with interpersonal attachment style. Computers in Human Behavior, 61: 537-547.

Kovács K., Kis A., Kanizsár O., Hernádi A., Gácsi M., Topál J. 2016. The effect of oxytocin on biological motion perception in dogs (Canis familiaris). Animal Cognition, 19: 513-522.

Kovács K., Kis A., Pogány Á., Koller D., Topál J. 2016. Differential effects of oxytocin on social sensitivity in two distinct breeds of dogs (Canis familiaris). Psychoneuroendocrinology, 74: 212-220.

Miklósi Á., Kubinyi E. 2016. Current trends in Canine problem-solving and cognition. Current Directions in Psychological Science, 25: 300–306.

Petró E., Abdai J., Topál J., Miklósi Á. 2016. Dogs (Canis familiaris) adjust their social behaviour to the differential role of inanimate interactive agents. Animal Cognition, 19: 367-374.

Polgár Z., Kinnunen, M., Újváry D., Miklósi Á., Gácsi M. 2016. A Test of Canine olfactory capacity: Comparing various dog breeds and wolves in a natural detection task. PLoS ONE, 11: e0154087.

2015

Abdai J., Gergely A., Petró E., Topál J., Miklósi Á. 2015. An investigation on social representations: Inanimate agent can mislead dogs (Canis familiaris) in a food choice task. PLoS ONE, 10: e0134575.

Abdai, J., Miklósi, Á. 2015. Family Dog Project©: history and future of the ethological approach to human-dog interaction. Zeszyty Naukowe Uniwersytetu Przyrodniczego we Wroclawiu: Biologia i Hodowla Zwierzat, 79: 9-20. doi:

Bálint, A., Faragó T., Zemihn, M., Lenkei, R., Miklósi Á., Pongrácz, P. 2015. “Do not choose as I do!”–Dogs avoid the food that is indicated by another dog’s gaze in a two-object choice task. Applied Animal Behaviour Science 170: 44-53.

Fugazza, C., Miklósi Á. 2015. Social learning in dog training: The effectiveness of the Do as I do method compared to shaping/clicker training. Applied Animal Behaviour Science 171: 146-151.

Gergely, A., Abdai, J., Petró, E., Kosztolányi, A., Topál, J., Miklósi Á. 2015. Dogs rapidly develop socially competent behaviour while interacting with a contingently responding self-propelled object. Animal Behaviour 108: 137-144.

Kerepesi A., Dóka A., Miklósi Á. 2015. Dogs and their human companions: The effect of familiarity on dog-human interactions. Behavioural Processes, 110: 27-36.

Kis A., Hernádi A., Kanizsár O., Gácsi M., Topál J. 2015. Oxytocin induces positive expectations about ambivalent stimuli (cognitive bias) in dogs. Hormones and Behavior, 69: 1-7.

Konok V., Kosztolányi A., Rainer W., Mutschler B., Halsband U., Miklósi Á. 2015. Influence of owners’ attachment style and personality on their dogs’ (Canis familiaris) separation-related disorder. PLOS ONE, 10(2): e0118375.

Konok V., Nagy K., Miklósi Á. 2015. How do humans represent the emotions of dogs? The resemblance between the human representation of the canine and the human affective space. Applied Animal Behaviour Science, 162: 37-46.

Kubinyi E., Gosling S. D., Miklósi Á. 2015. A comparison of rating and coding behavioural traits in dogs. Acta Biologica Hungarica, 66: 27-40.

Larranaga A., Bielza C., Pongrácz P., Faragó T., Bálint A., Larranaga P. 2015. Comparing supervised learning methods for classifying sex, age, context and individual Mudi dogs from barking. Animal Cognition, 18: 405-421.

Péter, A., Gergely, A., Topál, J., Miklósi Á., Pongrácz, P. 2015. A Simple but powerful test of perseverative search in dogs and toddlers. The Quarterly Journal of Experimental Psychology, in press.

Polgár Zita, Gácsi M., Miklósi Á. 2015. Strategies used by pet dogs for solving olfaction-based problems at various distances PlosOne 2015, DOI: 10.1371/journal.pone.0131610

Pongrácz Péter, Czinege Nikolett, Thaissa Menezes Pavan Haynes, Rosana Suemi Tokumaru, Miklósi Á., Faragó T. 2015. The communicative relevance of auditory nuisance-barks that are connected to negative inner states in dogs can predict annoyance level in humans Interaction Studies in press

Soh Takahashi, Gácsi M., Peter Korondi, Hideki Hashimoto, Mihoko Niitsuma 2015. Leading a Person Using Ethologically Inspired Autonomous Robot Behavior HRI 2015, Portland, USA

Stewart L, MacLean E L, Ivy D, Woods V, Cohen E, Rodriguez K, McIntyre M, Mukherjee S, Call J, Kaminski J, Miklósi Á., Wrangham R W, Hare B 2015. Citizen science as a new tool in dog cognition research PLOS ONE 10: e0135176

Szabó D., Gee N R, Miklósi Á. 2015. Natural or pathologic? Discrepancies in the study of behavioral andcognitive signs in aging family dogs J VET BEHAV 11, 86-98

Turcsán B., Szánthó F., Miklósi Á., Kubinyi E. 2015. Fetching what the owner prefers? Dogs recognize disgust and happiness in human behaviour. Animal Cognition, 18: 83-94.

2014

Ákos Zs., Beck R., Nagy M., Vicsek T., Kubinyi E. 2014. Leadership and path characteristics during walks are linked to dominance order and individual traits in dogs. PLoS Computational Biology, 10(1): e1003446. doi: 10: e1003446.

Andics A., Gácsi M., Faragó T., Kis A., Miklósi Á. 2014. Voice-sensitive regions in the dog and human brain are revealed by comparative fMRI. Current Biology, 24: 574–578.

Faragó T., Andics A., Devecseri V., Kis A., Gácsi M., Miklósi Á. 2014. Humans rely on the same rules to assess emotional valence and intensity in conspecific and dog vocalizations. Biology Letters 10: 20130926

Faragó T., Gácsi M., Korcsok B., Miklósi Á. 2014. Why is a dog-behaviour-inspired social robot not a doggy-robot? Interaction Studies, 15: 224-232.

Faragó T., Miklósi Á., Korcsok B., Száraz J., Gácsi M. 2014. Social behaviours in dog-owner interactions can serve as a model of companion robot behaviour. Interaction Studies, 15: 143-172.

Fugazza C., Miklósi Á. 2014. Deferred imitation and declarative memory in domestic dogs. Animal Cognition, 17: 237-247.

Fugazza C., Miklósi Á. 2014. Should old dog trainers learn new tricks? The efficiency of the Do as I do method and shaping/clicker training method to train dogs. Applied Animal Behaviour Science, 153: 53-61.

Gácsi M., Szakadát, S., Miklósi Á. 2014. What Could Assistance Robots Learn from Assistance Dogs? Proceedings of the 7th Int Conf Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS), Lugano, Switzerland, December 10-11, 2012. Springer LNICST, 134: 105-119.

Kerepesi A., Dóka A., Miklósi Á. 2014. Dogs and their human companions: The effect of familiarity on dog–human interactions. Behavioural Processes, 110: 27-36.

Kis A., Bence M., Lakatos G., Pergel E., Turcsán B., Pluijmakers J., Vas J., Elek Zs., Brúder I., Földi L., Sasvári-Székely M., Miklósi Á., Rónai Zs., Kubinyi E. 2014. Oxytocin receptor gene polymorphisms are associated with human directed social behavior in dogs (Canis familiaris). PLOS ONE, 9: e83993.

Kis A., Klausz B., Persa E., Miklósi Á., Gácsi M. 2014. Timing and presence of an attachment person affect sensitivity of aggression tests in shelter dogs. Veterinary Record, 174: 196.

Kis A., Szakadát S., Kovács E., Gácsi M., Simor P., Gombos F., Topál J., Miklósi Á., Bódizs R. 2014. Development of a non-invasive polysomnography technique for dog (Canis familiaris). Physiology & Behavior, 130: 149–156.

Klausz B., Kis A., Persa E., Miklósi Á., Gácsi M. 2014. A quick assessment tool for human-directed aggression in pet dogs. Aggressive Behavior, 40: 178-188.

Kubinyi E., Gosling S., Miklósi Á. 2014. A comparison of rating and coding activity-impulsivity and inattention in dogs. Acta Biologica Hungarica, 66 (1).

Lakatos G., Gácsi M., Konok V., Brúder I., Bereczky B., Korondi P., Miklósi Á. 2014. Emotion attribution to a non-humanoid robot in different social situations. PLoS ONE, 9(12): e114207.

Lakatos G., Janiak M., Malek L., Muszynski R., Konok V., Tchon K., Miklósi Á. 2014. Sensing sociality in dogs: what may make an interactive robot social? Animal Cognition, 17: 387-397.

Larrañaga A., Bielza C., Pongrácz P., Faragó T., Bálint A., Larrañaga P. 2014. Comparing supervised learning methods for classifying sex, age, context and individual Mudi dogs from barking. Animal Cognition, 18: 405-421.

Met A., Miklósi Á., Lakatos G. 2014. Gaze-following behind barriers in domestic dogs. Animal Cognition, 17: 1401-1414.

Pongrácz P., Szabó É., Kis A., Péter A., Miklósi Á. 2014. More than noise? – Field investigations of intraspecific acoustic communication in dogs (Canis familiaris). Applied Animal Behaviour Science, 159: 62-68.

Sümegi Zs., Gácsi M., Topál J. 2014. Conditioned placebo effect in dogs decreases separation related behaviours. Applied Animal Behaviour Science, 159: 90-98.

Sümegi Zs., Kis A., Miklósi Á., Topál J. 2014. Why do adult dogs (Canis familiaris) commit the A-not-B search error? Journal of Comparative Psychology, 128: 21-30.

Szatmári Zs., Kis V., Lippai M., Hegedűs K., Faragó T., Lőrincz P., Tanaka T., Juhász G., Sass M. 2014. Rab11 facilitates crosstalk between autophagy and endosomal pathway through regulation of Hook localization. Molecular Biology of the Cell, 25:(4) 522-531.

Szatmári Zs., Kis V., Lippai M., Hegedűs K., Faragó T., Lőrincz P., Tanaka T., Juhász G., Sass M. 2014. Rab11 facilitates crosstalk between autophagy and endosomal pathway through regulation of Hook localization. Molecular Biology of the Cell, 25: 522-531.

Temesi A., Turcsán B., Miklósi Á. 2014. Measuring fear in dogs by questionnaires: An exploratory study toward a standardised inventory. Applied Animal Behaviour Science, 161: 121-130.

Turcsán B., Szánthó F., Miklósi Á., Kubinyi E. 2014. Fetching what the owner prefers? Dogs recognize disgust and happiness in human behaviour. Animal Cognition, 18: 83-94.

2013

Andics A., Gál V., Vicsi K., Rudas G., Vidnyánszky Z. 2013. FMRI repetition suppression for voices is modulated by stimulus expectations. NeuroImage, 69: 277-283.

Bálint A., Faragó T., Dóka A., Miklósi Á., Pongrácz P. 2013. ‘Beware, I am big and non-dangerous!’–Playfully growling dogs are perceived larger than their actual size by their canine audience. Applied Animal Behaviour Science, 148: 128-137.

Gácsi M., Maros K., Sernekvist S., Faragó T., Miklósi Á. 2013. Human analogue safe haven effect of the owner: Behavioural and heart rate response to stressful social stimuli in dogs. PLoS ONE, 8(3): e58475. doi:10.1371/journal.pone.0058475

Gácsi M., Szakadát S., Miklósi Á. 2013. Assistance dogs provide a useful behavioral model to enrich communicative skills of assistance robots. Frontiers in Psychology, 4: 971.

Gácsi M., Vas J., Topál J., Miklósi Á. 2013. Wolves do not join the dance: sophisticated aggression control by adjusting to human social signals in dogs. Applied Animal Behaviour Science, 145: 109-122.

Gerencsér L., Vásárhelyi G., Nagy M., Vicsek T., Miklósi Á. 2013. Identification of Behaviour in Freely Moving Dogs (Canis familiaris) Using Inertial Sensors. PLoS ONE, 8(10): e77814.

Gergely A., Petró E., Topál J., Miklósi Á. 2013. What are you or who are you? The emergence of social interaction between dog and an Unidentified Moving Object (UMO). PLoS ONE, 8: e72727.

Hegedüs D., Bálint A., Miklósi Á., Pongrácz P. 2013. Owners fail to influence the choices of dogs in a two-choice, visual pointing task. Behaviour, 150: 427–443.

Koay K. L., Lakatos G., Syrdal D.S., Gácsi M., Bereczky B., Dautenhahn K., Miklósi Á., Walters M. L. 2013. Hey! There is someone at your door. A Hearing Robot using Visual Communication Signals of Hearing Dogs to Communicate Intent. in Proceeding of the 2013 IEEE Symposium on Artificial Life, 16-19 April 2013 Singapore, pp. 90-97.

Miklósi Á., Tobál J. 2013. What does it take to become ‘best friends’? Evolutionary changes in canine social competence. Trends in Cognitive Sciences, 17: 287-294.

Mirkó E., Dóka A., Miklósi Á. 2013. Association between subjective rating and behaviour coding and the role of experience in making video assessments on the personality of the domestic dog (Canis familiaris). Applied Animal Behaviour Science, 149: 45-54.

Péter A., Miklósi Á., Pongrácz P. 2013. Domestic dogs’ (Canis familiaris) understanding of Projected Video Images of a Human Demonstrator in an Object-choice Task. Ethology, 119: 1–9.

Pfandler E., Lakatos G., Miklósi Á. 2013. Eighteen-month-old human infants show intensive development in comprehension of different types of pointing gestures. Animal Cognition, 16: 711-719.

Pongrácz P., Gácsi M., Hegedüs D., Péter A., Miklósi Á. 2013. Test sensitivity is important for detecting variability in pointing comprehension in canines. Animal Cognition, 16: 721-735. doi: 10.1007/s10071-013-0607-1

Pongrácz P., Hegedüs D., Sanjurjo B., Kővári A., Miklósi Á. 2013. “We will work for you” – Social influence may suppress individual food preferences in a communicative situation in dogs. Learning and Motivation, 44: 270-281.

Tajti F., Korondi P., Szayer G., Kovács B. 2013. Shop-floor controller based on RT-middleware technology. Journal of Mechanics Engineering and Automation, 3: (11) 1-10.

Wan M., Hejjas K., Ronai Zs., Elek Zs., Sasvari-Szekely M., Champagne F. A., Miklósi Á., Kubinyi E. 2013. Dopaminergic gene polymorphisms are associated with activity-related traits in Siberian Huskies. Animal Genetics, 44(6): 717-727.

2012

Faragó T., Miklósi Á. 2012. Cellphone evolution – applying evolution theory to an info-communication system. Proceedings of the 3rd IEEE Int. Conf. on Cognitive Infocommunication, Kosice, Slovakia, 763-768.

Hecht J., Miklósi Á., Gácsi M. 2012. Behavioral assessment and owner perceptions of behaviors associated with guilt in dogs. Applied Animal Behaviour Science, 139: 134-142.

Hernádi A., Kis A., Turcsán, B., Topál, J. 2012. Man’s Underground Best Friend: Domestic Ferrets, Unlike the Wild Forms, Show Evidence of Dog-Like Social-Cognitive Skills. PLoS ONE, 7(8), e43267.

Ichikawa T., Yuki M., Korondi P., Hashimoto H., Gácsi M., Niitsuma M. 2012. Impression Evaluation for Different Behavioral Characteristics in Ethologically Inspired Human-Robot Communication. RO-MAN 2012, Paris, France, 55-60.

Kis A., Gácsi M., Range F., Virányi Zs. 2012. Object permanence in adult common marmosets (Callithrix jacchus): not everything is an ‘‘A-not-B’’ error that seems to be one. Animal Cognition, 15: 97-105.

Kis A., Topál J., Gácsi M., Range F., Hubert L., Miklósi Á., Virányi Zs. 2012. Does the A-not-B error in adult pet dogs indicate sensitivity to human communication? Animal Cognition, 15: 737-743.

Kis A., Turcsán B., Miklósi Á., Gácsi M. 2012. The effect of the owner’s personality on the behaviour of owner-dog dyads. Interaction Studies 13:3, 371-383.

Kubinyi E., Vas J., Héjjas K., Ronai Zs., Brúder I., Turcsán B., Sasvári-Székely M., Miklósi Á. 2012. Polymorphism in the tyrosine hydroxylase (TH) gene is associated with activity-impulsivity in german shepherd dogs. PLoS One, 7(1): e30271.

Lakatos G., Gácsi M., Topál J., Miklósi Á. 2012. Comprehension and utilisation of pointing gestures and gazing in dog–human communication in relatively complex situations. Animal Cognition, 15:201-213.

Miklósi Á., Gácsi M. 2012. On the utilisation of social animals as a model for social robotics. Frontiers in Psychology, 3: 75. doi: 10.3389/fpsyg.2012.00075

Miklósi Á., Gerencsér L. 2012. Potential application of autonomous and semiautonomous robots in the study of animal behaviour. 3rd IEEE International Conference on Cognitive Infocommunications (CogInfoCom) December 2-5, 2012, Kosice, Slovakia, pp.759-762.

Miklósi Á., Szabó D. 2012. Modelling behavioural evolution and cognition in canines: Some problematic issues. The Japanese Journal of Animal Psychology, 62: 69-89.

Mirkó E., Kubinyi E., Gácsi M., Miklósi Á. 2012. Preliminary analysis of an adjective-based dog personality questionnaire developed to measure some aspects of personality in the domestic dog (Canis familiaris). Applied Animal Behaviour Science, 138: 88– 98.

Numakunai R., Ichikawa T., Gácsi M., Korondi P., Hashimoto H., Niitsuma M. 2012. Exploratory Behavior in Ethologically Inspired Robot Behavioral Model. RO-MAN 2012, Paris, France. 577-582.

Pongrácz P., Bánhegyi P., Miklósi Á. 2012. When rank counts—dominant dogs learn better from a human demonstrator in a two-action test. Behaviour, 149: 111–132.

Pongrácz P., Benedek V., Enz S., Miklósi Á. 2012. The owners’ assessment of “everyday dog memory” A questionnaire study. Interaction Studies, 13: 386-407.

Téglás E., Gergely A., Kupán K., Miklósi Á., Topál J. 2012. Dogs’ gaze following is tuned to human communicative signals. Current Biology, 22: 209-212.

Turcsán B., Range F., Virányi Zs., Miklósi Á., Kubinyi E. 2012. Birds of a feather flock together? Perceived personality matching in owner–dog dyads. Applied Animal Behaviour Science, 140: 154-160.

Vincze D., Kovács Sz., Gácsi M., Korondi P., Miklósi Á., Baranyi P. 2012. A Novel Application of the 3D VirCA Environment: Modeling a Standard Ethological Test of Human-Dog Interactions. Acta Polytechnica Hungarica, 9:1, 107-120.

Vincze D., Kovács Sz., Niitsuma M., Hashimoto H., Korondi P., Gácsi M., Miklósi Á. 2012. Ethologically Inspired Human-Robot Interaction Interfaces. Proceedings of the 2012 Joint International Conference on Human-Centered Computer Environments (HCCE2012) Hamamatsu, Japan, 51-57.