Our lab is located at the Mind, Brain and Behavior Research Center. Here we have access to several behavioral testing rooms, a 3T Siemens Magnetic Resonance Imaging facility with compatible EEG and EyeLink Eyetracker, high-density EEG recording devices, and a Transcranial Magnetic Stimulation device with a robotic assistant and neuronavigator.
People
MARÍA RUZ
Senior PI
Maria did her PhD in Granada and the Sackler Institute for Developmental Psychobiology in New York, and enjoyed a postdoc in New College at Oxford. She is currently Professor of Cognitive Neuroscience at the Mind, Brain and Behavior Research Center of the University of Granada. She has a broad interest in understanding the neural mechanisms that shape cognition in the human brain.
Carlos González-García
PI
I am a Ramón y Cajal fellow in Granada, where I did my PhD with María Ruz and Pío Tudela. I spent some time as a Fulbright scholar in Biyu He’s lab at NIH and NYU, and as a Marie Skłodowska-Curie postdoc fellow in Marcel Brass’ lab at Ghent University. I am a psychologist often navigating the intersection of cognitive and computational neuroscience.
ANA F. PALENCIANo
PI
I did my PhD at the Mind, Brain, and Behavior Research Center with Maria Ruz, exploring how the brain flexibly encodes novel, instructed demands. I continued deepening on that field while working as a postdoc at Ghent University, in Marcel Brass’ and Baptist Liefooghe’s labs. Now I am a postdoc researcher at the University of Granada. In general terms, I’m interested in studying neural task representations using fMRI/EEG and multivariate analyses.
RODIKA SOKOLIUK
PI
I am a Ramón y Cajal fellow based in Granada. I did my PhD with Rufin VanRullen in Toulouse (France), followed by a postdoc with Simon Hanslmayr, Karen Mullinger and Stephen Mayhew in Birmingham and Nottingham (UK). I then pursued a second postdoc at the Centre of Human Brain Health in Birmingham with Damian Cruse, before I relocated to Berlin (Germany) to work with Surjo Soekadar and Andrea Kühn at the Charité University Hospital. My current research interests blend what I have learnt during my research journey, straddling the line between basic and applied research. Combining electrophysiology with cognitive paradigms, I aim to improve diagnostic and prognostic accuracy in unresponsive patients with disorders of consciousness.
BLANCA AGUADO-LÓPEZ
Postdoctoral Researcher
I am a postdoctoral researcher at the University of Granada, where I completed my PhD with María Ruz and Ana F. Palenciano. During my research years I have explored how our brain flexibly prepares for task demands. I’m interested in how different attentional and motivational contexts can shape neural representations using EEG/fMRI. In my free time I love hiking, travelling and board games.
Francisco Gutiérrez
MSc Neuroscience — Phd Student
I am a PhD student at the University of Granada, where I also completed a master’s degree in Cognitive and Behavioral Neuroscience. My research focuses on the neuro-cognitive mechanisms that underlie the modulation that social expectations have on the perception of other people. To this end, we combine behavioral measures such as mouse movements with neural recordings such as EEG and fRMI. I use my free time for climbing, music and friends, not forgetting my lovely kitty.
Michelle Hefner
Biomedical engineer - PhD Student
I am a PhD student at the University of Granada, co-supervised by María Ruz & Christopher Summerfield. I have a dual Bachelor’s degree in biomedical engineering and chemical & biological engineering from Colorado State University, where I was an undergraduate researcher in a cognitive neuroscience lab working on multimodal fusion of neuroimaging data and machine learning. Loosely, I’m interested in neuroimaging and AI and using computational methods to model and investigate cognitive processes in the human brain. Outside of research I love cooking, the outdoors, and music!
Paula Pena
MSc Neuroscience — Phd Student
I am a PhD student at the University of Granada, where I also earned an MSc on Cognitive and Behavioral Neuroscience. My research explores how the brain flexibly encodes information relevant to the task at hand. In my free time, I love going to the movies and crocheting.
Johannah Voeller
MSc Psychology - PhD Student
I am a PhD student at the University of Granada, co-supervised by Carlos González García & Juan Linde Domingo. During my PhD, I study how we learn new information in a single instance, focusing on the contribution of different memory systems to retaining this information over time. Previously, I completed my MSc in Psychology at the University of Leipzig, Germany, during which I was a research assistant at the Max Planck Institute for Human Cognitive and Brain Sciences under the supervision of Prof. Dr. Doeller. Outside of everything brain-y I love arts & crafts, the outdoors, and fries!
CATHERINE SHOEBRIDGE MARTIN
MSc Neuroscience - Research Assistant
ALUMNI
- David Richter, Post-doc.
- José Manuel García, MSc.
- Chema G. Peñalver, Ph.D.
- Sergio Gaspar, MSc.
- Tijana Bačlić, MSc.
- Paolo Buttazzoni, MSc.
- Rocío Rodríguez Valdés, MSc.
- Ricardo de Haro, MSc.
- David López-García, Ph.D.
- Tara Beilner, MSc.
- Alberto Sobrado, MSc.
- Christopher Williamson
- Mercedes Fernández-Argüelles
- Kenéz Bogdány, MSc.
- Alejandro Sandoval, MSc.
- Paloma Díaz-Gutiérrez, Ph.D.
- Juan E. Arco, Ph.D.
- Sonia Alguacil, Ph.D.
- María Tortosa, Ph.D.
- Clara Aranda, Ph.D
- Lidia Izquierdo
- Cristina Sánchez
- Javier Guerrero, MSc.
- Marta Puertollano, MSc.
- Victor Moreno
- Noelia Herrera, MSc.
- Beatriz Moreno, MSc.
- Antonio Barba, MSc.
- Celia Gaertig, MSc.
- Anna Moser, MSc.
- Aina Casaponsa, MSc.
- Tatiana Strizhko, MSc.
Visiting students
- Isa Borret
- Justine Tielemans
- Sofia Lepki
- Antonina Roemer
- Sahar Seifzadeh
- Bazil Pasques
- Fanni Vikor
- Merel de Merlier
- Laura De Laere
- Yulya Bedritskaya
- Giada Viviani
- Marc Sabio
- Luc Vermeylen
- Despina Gatz
- Flavia Arnese
- Iulia Boncu
- Federico Citterio
Research
Neural coding of information for proactive cognitive control
PI: María Ruz
Funded by the Spanish Ministry of Science — PID2022-138940NB-I00
Ready, Steady, Go! It is common lay knowledge that preparing in advance improves the efficiency of behavior. Why and how this happens, however, is still far from being understood. One of the research fields that can provide highly valuable insights to advance this knowledge is the study of information coding in the human brain. The present project will test the overarching hypothesis that anticipatory activations reflect a form of internal control of brain circuit dynamics that brings cortical states closer to the representational subspace that matters for the upcoming task. We will employ functional magnetic resonance (fMRI) and electroencephalography (EEG) neuroimaging combined with several multivariate analyses to investigate the spatio-temporal dynamics of the neural codes underlying advance preparation in the human brain.
Characterizing the role of prediction and task-relevance in neural information coding
PI: María Ruz
Funded by the Spanish Ministry of Science — PID2025-171459NB-I00
The human brain has a relatively stable anatomical structure, which is capable of generating numerous mental states that change rapidly, efficiently adapting to the specific circumstances of each moment. Understanding how this dynamic flexibility occurs is one of the major current challenges in the science that studies the brain support of human mental function.
The objective of this project is to advance our understanding of one of the factors underlying this flexibility: the ability of neurons to code, or represent, different types of information through their activity patterns. The information represented by neurons is not fixed but varies over time according to the specific demands of each situation. Furthermore, the format in which this information is coded also adapts to the specific context. In this project, we will primarily use indices that reflect the separability, dimensionality, and abstraction of information coding. We will employ experimental tasks that manipulate two factors known to facilitate mental function: the ability to predict what will happen next and the ability to select information relevant to a person’s goals at a given time. By combining tasks that generate information prediction and vary the relevance of this anticipated information with the collection (using functional magnetic resonance imaging and electroencephalography) of data of brain activity while participants perform these tasks, we will analyze how these factors dynamically change the way different brain regions efficiently represent information.
Neural coding geometries for flexible behavior
PI: Ana F. Palenciano
Funded by the Spanish Ministry of Science — PID2023-151911NA-I00
This research project focuses on the principles by which task information is encoded in distributed brain activity, addressing the hypothesis that these mechanisms are determined by (and fine-tuned to) current computational demands. Previous literature has identified two main coding architectures that support cognitive control: conjunctive coding, where tasks are represented by context-unique and highly segregated activity patterns, and compositional coding, where abstract neural codes are recombined to generalize to novel task settings. Our project aims to examine whether and how different contextual factors shape the neural space toward the conjunctive or compositional extremes, thereby supporting adaptive, goal-oriented behavior. To achieve this, we will explore where (fMRI) and when (EEG) in the brain neural task codes emerge, employing a comprehensive multivariate pattern analysis protocol to characterize the underlying representational geometries.
Silent waves of consciousness
PI: Rodika Sokoliuk
Funded by the Ramón y Cajal Grant 2022 — RYC2022-037911-I
This project focuses on improving the accuracy of prognosis and diagnosis in unresponsive patients with disorders of consciousness, while also developing therapeutic tools for neurorehabilitation. Assessing consciousness in clinical settings typically relies on overt command following—verbal or motor responses that indicate communication between the patient and medical staff. However, unresponsive patients are unable to communicate in the same way as healthy individuals. Some of these patients can covertly follow commands, which can be detected by measuring brain activity in response to specific instructions. Others, however, show no measurable response, yet this does not necessarily mean they are unconscious. Command following requires the coordination of multiple cognitive processes, the integrity of which I will investigate using electroencephalography (EEG). Specifically, I will focus on oscillatory brain patterns associated with perception, attention, and working memory. The aim of this project is not only to provide a more detailed picture of each patient’s cognitive state to improve diagnostic and prognostic accuracy, but also to identify targets for personalised neurorehabilitation. By applying various neuromodulation techniques, we aim to develop therapeutic interventions tailored to each patient’s needs. Ultimately, this approach could help restore covert communication in a broader group of seemingly unresponsive patients, enhancing both their diagnosis and potential for recovery.
FLARE - The representational architecture of fast learning through abstraction
PI: Carlos González-García
Funded by the Spanish Ministry of Science — PID2023-149428NB-I00
PreVision - Prediction error computation in visual perception
PI: David Richter
Funded by Marie Skłodowska-Curie Action — 101147241
Prior knowledge plays a central role in shaping our perception and interactions with the world. Predictive coding theories provide an influential framework that formalizes the neural computations underlying the integration of prior knowledge into perception. A central tenet of predictive coding is the computation of prediction errors, which signify the discrepancy between predictions derived from prior knowledge and incoming sensory input. Despite ample empirical evidence supporting the existence of prediction errors, such as heightened sensory responses to unexpected compared to expected stimuli, several unresolved questions persist.
One pivotal question pertains to the nature of the surprise encoded in sensory prediction errors across the visual cortical hierarchy. Does the computation of prediction errors reflect local surprise, specific to each level in the visual hierarchy (e.g., surprising orientations in the primary visual cortex)? Alternatively, is the coding of surprise inherited top-down, aligning with the notion in predictive coding that predictions are relayed from higher to lower areas? Furthermore, it remains unclear whether the computation of surprise dynamically adapts to our goals or remains a static feature of cortical tuning. Lastly, the networks and temporal dynamics that underlie prediction and prediction error computations are poorly understood.
The PreVision project aims to address these critical knowledge gaps by integrating advanced neuroimaging techniques and artificial intelligence methodologies. By shedding light on the fundamental neurocomputational mechanisms that drive perception, this research seeks to enhance our understanding of how prior knowledge influences sensory processing in the brain.
Publications
RECENT PUBLICATIONS
Richter, D., Pena, P., Ruz, M., Rapid Computation of High-Level Visual Surprise, iScience (2025) — PDF
López-García, D., Peñalver, J. M., Górriz, J. M., & Ruz, M. (2022). MVPAlab: A machine learning decoding toolbox for multidimensional electroencephalography data. Computer Methods and Programs in Biomedicine, 214, 106549. — PDF
Liu, X., Wisniewski, D., Vermeylen, L., Palenciano, A. F., Liu, W., & Brysbaert, M. (2021). The representations of Chinese characters: evidence from sub-lexical components. Journal of Neuroscience. — PDF
Mas-Herrero, E., Adrover-Roig, D., Ruz, M., & de Diego-Balaguer, R. (2021). Do bilinguals outperform monolinguals in switching tasks? Contrary evidence for nonlinguistic and linguistic switching tasks. Neurobiology of Language, 2(4), 586-604. — PDF
Arco, J. E., Ramírez, J., Górriz, J. M., Ruz, M., & Alzheimer’s Disease Neuroimaging Initiative. (2021). Data fusion based on Searchlight analysis for the prediction of Alzheimer’s disease. Expert Systems with Applications, 185, 115549. — PDF
Spears, D., Okan, Y., Hinojosa-Aguayo, I., Perales, JC., Ruz, M. & González, F. (In press) Can induced reflection affect moral decision-making? Phiilosophical Psychology. — PDF
Díaz-Gutiérrez, P., Arco, J.E., Alguacil, S., González-García, C., Ruz, M. (2020). Neural representations of social valence bias economic interpersonal choices. Neuropsychologia, 147, 107584. — PDF
Lopez-Garcia, D., Sobrado, A., Peñalver, JMG., Gorriz, JM., Ruz, M. (2020) Multivariate pattern analysis techniques for electroencephalography data to study Flanker interference effects, International Journal of Neural Systems. https://doi.org/10.1142/S0129065720500240. — PDF
González-García, C., García-Carrión, B., López-Benítez, R., Sobrado, A., Acosta, A., & Ruz, M. (2020) Induced affective states do not modulate effort avoidance. Psychological Research, 1-13. — PDF
Correa, Á., Alguacil, S., Ciria, L.F., Jiménez, A. & Ruz, M. (2020). Circadian rhythms and decision-making: a review and new evidence from electroencephalography. Chronobiology International, doi: 10.1080/07420528.2020.1715421. — PDF
Díaz-Gutiérrez, P., Gilbert, S. J., Arco, J. E., Sobrado, A., & Ruz, M. (2020). Neural representation of current and intended task sets during sequential judgements on human faces. NeuroImage, 204, 116219. — PDF
Arco, J. E.; Díaz-Gutiérrez, P., Ramírez, J., & Ruz, M. (2020). Atlas-based classification algorithms for identification of informative brain regions in fMRI data. Neuroinformatics, 1-18. — PDF
Juechems, K., Balaguer, J., Castañón, S. H., Ruz, M., O’Reilly, J. X., & Summerfield, C. (2019). A network for computing value equilibrium in the human medial prefrontal cortex. Neuron, 101(5), 977-987. — PDF
Palenciano, A. F., González-García, C., Arco, J. E., Pessoa, L. & Ruz, M. (2019) Representational organization of novel task sets during proactive encoding. Journal of Neuroscience, 719–725. — PDF
Palenciano, A. F., González-García, C., Arco, J. E., & Ruz, M. (2018). Transient and sustained control mechanisms supporting novel instructed behavior. Cerebral Cortex, 1-13. — PDF
Arco, J.E., González-García, C., Díaz-Gutiérrez, P., Ramírez, J., & Ruz, M. (2018). Influence of activation pattern estimates and statistical significance tests in fMRI decoding analysis. Journal of Neuroscience Methods, 308, 248–260. — PDF
Díaz-Gutiérrez, P.; Alguacil, S. & Ruz, M. (2017). Bias and control in social decision-making. In A. Ibáñez, L. Sedeño & A. García (eds), Neuroscience and Social Science: The missing link (pp 47- 68). Cham: Springer.
Juechems K, Balaguer J, Ruz M, Summerfield C. (2017) Ventromedial prefrontal cortex encodes a latent estimate of cumulative reward. Neuron 93(3):705-714.e4. doi: 10.1016/j.neuron.2016.12.038.
Palenciano, AF, Díaz-Gutiérrez, P, González-Garcia, C, Ruz, M (2017) Neural mechanisms of cognitive control/Mecanismos neurales de control cognitive. Estudios de Psicología 38 (2), 311-337. — PDF
González-García C, Arco JE, Palenciano AF, Ramírez J, Ruz M. (2017) Encoding, preparation and implementation of novel complex verbal instructions. Neuroimage 1;148:264-273. doi: 10.1016/j.neuroimage.2017.01.037 — PDF
Alguacil S, Madrid E, Espín AM, Ruz M. (2017) Facial identity and emotional expression as predictors during economic decisions. Cognitive, Affective & Behavioral Neuroscience 17(2):315-329. doi: 10.3758/s13415-016-0481-9
Correa A, Ruiz-Herrera N, Ruz M, Tonetti L, Martoni M, Fabbri M, Natale V. (2017) Economic decision-making in morning/evening-type people as a function of time of day. Chronobiology International 34(2):139-147. doi: 10.1080/07420528.2016.1246455. — PDF
Lapotka M, Ruz M, Salamanca Ballesteros A, Ocón Hernández O. (2016) Cold pressor gel test: A safe alternative to the cold pressor test in fMRI. Magnetic Resonance Medicine doi: 10.1002/mrm.26529
González-García C, Mas-Herrero E, de Diego-Balaguer R, Ruz M. (2016) Task-specific preparatory neural activations in low-interference contexts. Brain Structure & Function (8):3997-4006. — PDF
González-García C, Tudela P, Ruz M. (2015) Unconscious biases in task choices depend on conscious expectations. Consciousness & Cognition 37:44-56. doi: 10.1016/j.concog.2015.08.001. — PDF
Alguacil, S., Tudela, P., & Ruz, M. (2015). Ignoring facial emotion expressions does not eliminate their influence on cooperation decisions. Psicológica, 36(2). — PDF
Wei Z, Ruz M, Zhao Z, Zheng Y. (2015) Epistemic motivation affects the processing of negative emotional stimuli in interpersonal decisions. Frontiers in Psychology 23;6:1057. doi: 10.3389/fpsyg.2015.01057. — PDF
Sanabria D, Madrid E, Aranda C, Ruz M. (2015) Attentional orienting to own and others’ hands. Experimental Brain Research 233(8):2347-55. doi: 10.1007/s00221-015-4303-z.
Ruz M, Aranda C, Sarmiento BR, Sanabria D. (2015) Attention to individual identities modulates face processing. Experimental Brain Research 2015 May;233(5):1491-502. doi: 10.1007/s00221-015-4223-y. — PDF
Ibanez A, Kotz SA, Barrett L, Moll J, Ruz M. (2014) Situated effective and social neuroscience. Frontiers in Human Neuroscience 28;8:547. doi: 10.3389/fnhum.2014.00547. — PDF
Moser, A., Gaertig, C. & Ruz, M. (2014) Social information and personal interests modulate neural activity during economic decision-making. Frontiers in Human Neuroscience 8:31. doi: 10.3389/fnhum.2014.00031. — PDF
González-García, C., Tudela, P., & Ruz, M. (2014). Functional magnetic resonance imaging: a critical analysis of its technical, statistical and theoretical implications in human neuroscience. Revista de neurologia, 58(7), 318-325. — PDF
Alguacil, S., Tudela, P. & Ruz, M. (2013) Cognitive and affective control in a flanker word task: common and dissociable brain mechanisms. Neuropsychologia, 51, 1663-1672. — PDF
Tortosa, M.I., Lupiáñez, J. & Ruz, M. (2013) Race, emotion, and trust: An ERP study. Brain Research, 1494, 44-55. — PDF
Tortosa, M.I., Strizhko, Capizzi, M. & Ruz, M. (2013) Interpersonal effects of emotion in a multi-round Trust Game. Psicologica, 34, 179-198. — PDF
Ruz, M., Madrid, E., Tudela, P. (2013) Interactions between perceived emotions and executive attention in an interpersonal game. Social, Cognitive & Affective Neuroscience, 8, 838-44. — PDF
Gärtig, C., Moser, A.R., Alguacil, S. & Ruz, M. (2012) Social information and economic decision-making in the ultimatum game. Frontiers in Decision Neuroscience, 6:103. — PDF
Baines, S., Ruz, M., Rao, A., Denison, R. & Nobre AC. (2011) Modulation of neural activity by motivational and spatial biases. Neuropsychologia, 49, 2489-97. — PDF
Ruz, M. & Moser, A. & Webster, K. (2011) Social expectations bias decision-making in uncertain interpersonal situations. PLoS ONE 6(2): e15762. doi:10.1371/journal.pone.0015762. — PDF
Ruz, M. & Tudela, P. (2011) Emotional conflict in interpersonal interactions. NeuroImage, 54, 1685-91. — PDF
Aranda C, Ruz M, Tudela P, Sanabria D. (2010) Focusing on the bodily self: The influence of endogenous attention on visual body processing. Attention, Perception & Psychophysics, 72, 1756-64. — PDF
Aranda C, Madrid E, Tudela P, Ruz M. (2010) Category expectations: A differential modulation of the N170 potential for faces and words. Neuropsychologia, 48, 4038-45. — PDF
Ruz, M. & Fuentes, L. (2009) Beyond perception: Testing for implicit conceptual traces in high-load tasks. Consciousness & Cognition, 18, 820-2. — PDF
Ruz, M. & Nobre, A.C. (2008) Attention modulates initial stages of visual word processing. Journal of Cognitive Neuroscience, 20, 1727-36. — PDF
Ruz, M. & Nobre, A.C. (2008) Dissociable top-down anticipatory neural states for different linguistic dimensions. Neuropsychologia, 46, 1151-60. — PDF
Periáñez, J.A., Ríos, M., Barceló, F., Madrid, E. & Ruz, M. (2008) Atención y neuroimagen. En Maestú, Ríos y Cabestrero (Eds.) Neuroimagen: Técnicas y Procesos Cognitivos (pp. 281-309). Madrid: Elsevier Masson.
Ruz, M., Madrid, E., Lupiáñez, J. & Tudela, P. (2007) Unconscious perception: Illusion or reality? Estudios de Psicología, 28, 167-176.
Lupiañez, J., Ruz, M., Funes, M.J. & Milliken, B. (2007) The manifestation of attentional capture: Facilitation or IOR depending on task demands. Psychological Research, 71, 77-91. — PDF
Ruz, M., Acero, J.J.,Tudela, P. (2006) What does the brain tell us about the mind? Psicologica, 29, 149-157. — PDF
Ruz, M. (2006) Let the brain explain the mind: The case of Attention. Philosophical Psychology, 19, 495-505. — PDF
Ruz, M., Wolmetz, M., Tudela, P. & McCandliss, B. (2005) Two brain pathways for attended and ignored words. NeuroImage, 27, 852-61. — PDF
Ruz, M., Worden, M., Tudela, P. & McCandliss, B. (2005) Inattentional amnesia to words in a high attentional load task. Journal of Cognitive Neuroscience, 17, 768-76. — PDF
Ruz, M., Madrid, E., Lupiáñez, J. & Tudela, P. (2003) High density ERP indices of conscious and unconscious semantic processing. Cognitive Brain Research,17, 719-31. — PDF
Ruz, M., Tudela, P. & Madrid, E. (2003) Neurociencia Cognitiva de la consciencia: Una revisión sobre los mecanismos cerebrales de la actividad consciente. Estudios de Psicología, 24,147-162.
Ruz, M., & Lupiáñez, J. (2002) A review of attentional capture: On its automaticity and sensitivity to endogenous control. Psicologica, 23, 283-309. — PDF
Lupiáñez, J., Rueda, R., Ruz, M., & Tudela, P. (2000) Processing of attended and ignored words in the parafovea: Inhibitory aspects in semantic processing. Psicologica, 21, 233-256.
Join us
We are always happy to hear from people interested in visiting or joining the lab. If so, please email the PI/s with work closest to your interests.
The lab hosts visiting researchers or students who are supported by scholarship programs (e.g. Erasmus+ or similar) for periods of 6-12 months.
We also regularly supervise research projects by local undergraduate students applying to “Beca de Colaboracion” and “Beca de Iniciacion a la Investigacion” (UGR) scholarships. Master students in Cognitive Neuroscience or related topics are also welcome.
If you are interested in pursuing a PhD with us, it’s important to consider that available funding is highly competitive (e.g. fellowships from “la Caixa” INPhINIT, FPU, FPI, Andalusia government or from the UGR, Tatiana foundation…). If you would like to explore this road, please get in touch.
Unfortunately, we cannot host self-funded students or applicants hoping to work in areas outside our expertise.
Currently we have the following open positions in the lab:
POSTDOCTORAL JOB OFFER
The Human Neuroscience Lab of the Mind, Brain and Behavior Research Center in Granada (Spain) is looking to hire a postdoctoral researcher in the field of Cognitive Neuroscience. Starting time is flexible, ideally Jan 2027.
PREDOCTORAL JOB OFFER
The Human Neuroscience Lab of the Mind, Brain and Behavior Research Center in Granada (Spain) is looking to hire a postdoctoral researcher in the field of Cognitive Neuroscience. Starting time may vary from April to Sept 2027.
Locate us
Mind, Brain and Behavior Research Center
University of Granada
Centro de Investigación Mente, Cerebro y Comportamiento (CIMCYC). C/Campus de la Cartuja S/N, 18011, Granada.
- humneuro@ugr.es
- +34 958 245171
- María Ruz