March 2019 - Comp-neuro - lists.cnsorg.org

Junior Scientist Workshop on Advanced Neural Data Analysis 2019 in NYC

by Rainer Engelken

*Junior Scientist Workshop on Advanced Neural Data Analysis 2019 <https://ctn.zuckermaninstitute.columbia.edu/junior>* August 26th - 29th 2019, New York City, USA Hosted by the Center for Theoretical Neuroscience <https://ctn.zuckermaninstitute.columbia.edu/> at Columbia University Apply HERE <https://goo.gl/forms/xqlaJYZA7tiuhlWX2> by May 15 (11:59 p.m. EST): This workshop is intended for PhD students and postdocs who want to learn and share with their peers new advanced techniques in data analysis and apply them to complex neural datasets. During the workshop, attendees will present their research projects, followed by a hands-on programming tutorial on the computational techniques used in their work. The purpose is to gain a detailed understanding of the complexity of data and of the appropriateness of the different analysis techniques. The ideal participants are theoreticians with experience in analyzing experimental data as well as computationally minded experimentalists. By mixing a group of scientists with a diverse background but with overlapping goals of uncovering structure in neural data, the participants will learn an array of techniques and foster fruitful collaborations. The workshop will include presentations, tutorial sessions and lots of time and space for unfiltered in-depth discussions and data hacking sessions. We envision tutorials both on advanced data analysis as well as on specific experimental techniques and data processing. Participants are therefore expected to contribute with code or data to share and a reasonable dose of energy for giving tutorials on their work. Data and/or code can come in any format, including artificially generated data, but we encourage to make them available in a form that everyone can explore them with minimal overhead. Any data is shared only within the workshop. In order to foster an interactive atmosphere and allow everyone to give a detailed description and tutorial of their work, the workshop will be limited to a small group of participants. Participants will be provided with funds to cover travel, accommodation, and meals. We encourage applications from female scientists and those belonging to underrepresented minorities. The Junior Scientist Workshop is organized in partnership with the NeuroNex Theory Team at the University of Houston <https://neuronex.org/projects/13> and funded by NSF's NeuroNex <https://www.nsf.gov/news/news_summ.jsp?cntn_id=242652> initiative. The 2019 workshop will be held at Columbia University's Jerome L Greene Science Center <https://www.google.com/maps/place/Jerome+L.+Greene+Science+Center/@40.81685…>. Organizers: Fabio Stefanini, Mario Dipoppa, Rainer Engelken, Krešimir Josić, and Ashok Litwin-Kumar. ************************************************************* Rainer Engelken Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University pgp fingerprint: F94E 83D9 77AB 76F6 15E9 1503 3AD6 FCDC 410B 14F2 re2365(a)columbia.edu ctn.zuckermaninstitute.columbia.edu *************************************************************

March 20, 2019

PhD Positions Available in Computational Neuroscience at Simula/UiO

by Kimberly McCabe

The Simula School for Research and Innovation seeks applicants for 3 *PhD positions* offered as part of a larger collaborative PhD programme between Simula, the University of Oslo (UiO), and the University of California, San Diego (UCSD). This programme has been named SUURPh (the Simula-UiO-UCSD Research and PhD training programme), and more details can be found on the programme home page <https://www.simula.no/education/educational-partnerships/suurph-programme>, and on the page for SUURPh applicants <https://www.simula.no/education/educational-partnerships/suurph/suurph-appl…> . Detailed descriptions of the projects being offered can be found on the Projects Page <https://www.simula.no/education/educational-partnerships/suurph/available-s…>. Each project will require slightly different expertise and experience, but all are within the scope of *computational biology *and medicine. Thus, Simula and UiO are seeking motivated and independent students from a wide range of training backgrounds, but particularly with a strong working knowledge in computational and quantitative sciences to take up these doctoral fellowships. The duration of SUURPh doctoral fellowships will be 3 years, and the time of initiation will vary depending on the project but can be as early as August 1st 2019. All Simula-based SUURPh fellows will be enrolled as PhD students at the University of Oslo Mathematics and Natural Sciences Faculty. An additional unique feature of the SUURPh programme is that SUURPh fellows will be required to conduct a portion of their doctoral research in San Diego. As such, all applicants should be prepared and eager to spend a portion of their degree (generally 6 months – 1 year) at UCSD. Applicants are also obligated to meet academic standards for PhD students at UiO, including receipt of a Master’s Degree by June 30, 2019. The deadline for applications is April 15, with hiring decisions expected by mid-June. Details regarding available projects, application requirements, and the hiring process can be found through our online application portals (through Simula <https://www.simula.no/about/job/simula-school-research-and-innovation-seeks…> or UiO <https://www.jobbnorge.no/en/available-jobs/job/166324/phd-fellowships-avail…>). UiO is separately advertising 4 PhD positions for this programme, and applicants are welcome to rank projects from both the Simula and UiO sections during the application process. Please feel free to forward this announcement to those who may be interested. If you have any questions, you may direct them to the programme coordinator Kim McCabe (kimberly(a)simula.no) Best, Kim Kimberly McCabe SUURPh Programme Coordinator Simula School for Research and Innovation

March 19, 2019

post-doc positions at UCL, Space and Memory group of Neil Burgess

by Bicanski, Andrej

Two post-doc positions at University College London, in the Space and Memory group, with Neil Burgess Two post-doc positions are available at the UCL Inst of Cognitive Neuroscience with Neil Burgess’ Space and Memory group (https://www.ucl.ac.uk/icn/people/neil-burgess) Posts are until Sept 2021 in the first instance, extension contingent on further funding. Candidates will perform research in human cognitive and computational neuroscience that should complement the group’s current work, which includes: MEG decoding of sequential planning [1]; 3T and 7T fMRI of neural mechanisms in imagery, memory, navigation [2-4]; the effects of emotional content on memory [5]; intracranial recording in epilepsy patients [6]; computational modelling of imagery, memory and the roles of grid and place cells [7,8]. Researchers will collaborate with related work on grid and place cells in rodent virtual reality [9] and related groups at the ICN, Welcome Centre for Human Neuroimaging, Sainsbury Wellcome Centre for Neural Circuits and Behaviour and the wider UCL neuroscience community. For details and to apply, please see https://tinyurl.com/yyhr3kzr The deadline is 9th April. selected recent publications: 1. Kornysheva et al (2019) https://doi.org/10.1016/j.neuron.2019.01.018 2. Horner et al (2016) https://doi.org/10.1016/j.cub.2016.01.042 3. Horner et al (2015) https://www.nature.com/articles/ncomms8462 4. Grande et al (2017) http://www.abstractsonline.com/pp8/#!/4376/presentation/7698 5. Bisby & Burgess (2017) https://doi.org/10.1016/j.cobeha.2017.07.012 6. Bush et al (2017) https://doi.org/10.1073/pnas.1708716114 7. Bicanski & Burgess (2018) https://doi.org/10.7554/eLife.33752.001 8. Bicanski & Burgess (2019) https://doi.org/10.1016/j.cub.2019.01.077 9. Chen et al (2019) https://www.nature.com/articles/s41467-019-08550-1 Dr. Andrej Bicanski Institute of Cognitive Neuroscience University College London 17 Queen Square, WC1N 3AZ London, UK www.andrejbicanski.com<http://www.andrejbicanski.com>

March 18, 2019

Tenure-track position: Theoretical and Computational Neurophysics, University of Calgary, Canada

by Nicola, Wilten

Tenure-track position: Theoretical and Computational Neurophysics, University of Calgary, Canada The Department of Physics and Astronomy at the University of Calgary seeks outstanding candidates for a tenure-track position at the rank of Assistant Professor, in the area of theoretical and computational neurophysics. The successful candidate is expected to establish an independent research program related to the fundamentals of brain and neural dynamics at the intersection of physics and neuroscience. Theoretical, computational and data-driven areas of interest in modeling neural systems include neural dynamics, plasticity, information propagation, and network neuroscience. Link: https://careers.ucalgary.ca/jobs/3670741-assistant-professor-theoretical-an… Deadline: May 31, 2019 --- Dr. Jörn Davidsen Associate Professor of Physics & Humboldt Research Fellow University of Calgary www.ucalgary.ca/complexity/davidsen<http://www.ucalgary.ca/complexity/davidsen>

March 18, 2019

Call for applications: Brains for Brains Young Researchers' Computational Neuroscience Award 2019

by Kerstin Schwarzwaelder

Dear colleagues, It's our pleasure to inform you that for the ninth time, the Bernstein Network<http://www.nncn.de/en/bernstein-association> is announcing the "Brains for Brains Young Researchers' Computational Neuroscience Award". The call is open for researchers of any nationality who have contributed to a peer reviewed publication (as coauthor) or peer reviewed conference abstract (as first author) that was submitted before starting their doctoral studies, is written in English and was accepted or published in 2018 or 2019. The award is endowed with a travel grant of 2.000 € to cover a trip to Germany, including participation in the Bernstein Conference 2019 in Berlin (www.bernstein-conference.de<http://www.bernstein-conference.de>), and an individually planned visit to up to two German research institutions in Computational Neuroscience. Deadline for application is April 24, 2019, 2:00 p.m. CET (Application deadline will not be extended!) Detailed information about the application procedure can be found under: https://www.bernstein-network.de/en/the-network/awards/b4b2019 For inquiries please contact bernstein.network(a)fz-juelich.de<mailto:bernstein.network@fz-juelich.de> Best regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

March 18, 2019

MSc Neuroscience program University of Freiburg, Germany

by Carsten Mehring

MSc program in Neuroscience - University of Freiburg, Germany We are inviting applications for the interdisciplinary MSc program in Neuroscience at the University of Freiburg, Germany. The program provides theoretical and practical training in neuroscience, covering both the foundations and the latest research in the field. It is taught by lecturers from an international scientific community from three faculties and two neuroscience research centres. The modular course structure caters to the specific backgrounds and research interests of each individual student and we offer specialisations in computational neuroscience, neuro-/optophysiology, neurotechnology and genes,circuiots & behaviour. All courses are taught in English. We welcome applications with a background in natural sciences, mathematics, behavioural sciences, computer science or engineering sciences. The deadline for applications for the October 2019 entry is the 31st of May 2019. Further details can be found on our homepage http://www.mscneuro.uni-freiburg.de <http://www.mscneuro.uni-freiburg.de/> Please contact mscneuro@uni-freiburg,de for further questions. With kind regards Carsten Mehring University of Freiburg

March 18, 2019

INTERNATIONAL SUMMER SCHOOL IN COMPUTATIONAL NEUROSCIENCE, Beijing, August 2019

by Rava A. da Silveira

*CNeuro**: International Summer School and Workshop* *in Theoretical and Computational Neuroscience* *Tsinghua University, Beijing (August 2019)* *Background* How intelligence and behavior emerge from complex and intricate interactions within the brain remain important and unsolved mysteries in modern science. In the last decade, we have seen rapid progress in experimental tools that now make it possible to monitor and manipulate brain circuits in unprecedented detail. This research area presents both challenges and opportunities for experimentalists and theoreticians. The complexity and dynamics of the brain make it difficult to tackle its mechanisms and functions with experimental approaches alone. Mathematical theory is pivotal for obtaining new insights and for guiding experiment, as well as for identifying and unifying concepts and principles of brain functions. The aim of the two-week summer school and workshop will be to introduce students with strong quantitative background (e.g., in mathematics, theoretical physics, computer science, or engineering) to the emerging field of theoretical and computational neuroscience. The course will also bring together leading scientists in theoretical and computational neuroscience. We envision a collaborative environment where faculty and students will have in-depth discussions on topics in the frontier of neuroscience. The course will be a pedagogical basis for new students, introducing them to advanced mathematical methods and modeling approaches that are currently being used and developed to understand brain functions. *Time* 15 – 29 August 2019 *Location* The summer school will be held at the Tsinghua Laboratory of Brain and Intelligence (THBI), at Tsinghua University, in Beijing. THBI is a flagship project of the university. It is a new interdisciplinary research institute recently established by Tsinghua University, with dedicated faculty positions and research space. The institute aims to conduct cutting-edge interdisciplinary research across the fields of systems and computational neuroscience and artificial intelligence. The institute occupies three floors in a newly renovated building with large classrooms for teaching and computer labs, and ample offices for visiting scholars. *Organizers* Xiaoqin Wang, Johns Hopkins University and Tsinghua University Aravi Samuel, Harvard University Rava Azeredo da Silveira, Ecole Normale Supérieure Quan Wen, University of Science and Technology of China Sen Song, Tsinghua University *Faculty* Yoram Burak, The Hebrew University Dmitri Chklovskii, Flatiron Institute, Simons Foundation Michael Hausser, University of College London Yu Hu, Hong Kong University of Science and Technology Dezhe Jin, Penn State University Jian Liu, University of Leicester Cengiz Pehlevan, Harvard University Aravi Samuel, Harvard University Rava Azeredo da Silveira, Ecole Normale Supérieure Sen Song, Tsinghua University Louis Tao, Peking University Srinivas Turaga, Janelia Research Campus Xiaoqin Wang, Johns Hopkins University and Tsinghua University Quan Wen, University of Science and Technology of China Kechen Zhang, John Hopkins University *Applications* Please send a CV and a statement of purpose to thbi(a)tsinghua.edu.cn Application deadline: *20 May 2019* *Housing* International students will be housed on the Tsinghua University campus.

March 16, 2019

PhD Comp Neuro position, Moreno-Bote lab, Barcelona

by Ruben Moreno Bote

*PhD Position in* *Computational Neuroscience, Ruben Moreno-Bote Lab * *Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain* 1 fully funded PhD position is available in the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with Physics, Mathematics or Machine Learning background interested in developing theory for the brain and mind. Knowledge of Computational Neuroscience or Neuroscience would be ideal, but it is not necessary. The candidate will develop state of the art theory and models to understand neuronal dynamics and coding and will have access to multielectrode recording neural data. She/he could also be involved in the design of monkey and human behavioral experiments and the development of models of visual perception, decision making and working memory. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/ruben-moreno-bote) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by the Howard Hughes Medical Institute and the Spanish MINECO. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: any time between September 2019 and January 2020 -- Rubén Moreno Bote Serra Húnter & ICREA Academia Professor Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain http://www.upf.edu/pdi/ruben-moreno-bote

March 16, 2019

[CALL FOR PAPERS] IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE

by Gigg Liu

IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE https://webintelligence2019.com/ Sponsored By: Web Intelligence Consortium (WIC) Association for Computing Machinery (ACM) IEEE Computer Society In Cooperation With: Chinese Computer Federation (CCF) CALL FOR PAPERS Web has evolved as an omnipresent system which highly impacts science, education, industry and everyday life. Web is now a vast data production and consumption platform at which threads of data evolve from multiple devices, by different human interactions, over worldwide locations under divergent distributed settings. Such a dynamic complex system demands adaptive intelligent solutions, which will advance know-ledge, human interactions and innovation. Web intelligence is now a cutting edge area which must address all open issues towards deepening the understanding of all Web’s entities, phenomena, and developments. The theme for the WI'19 is: "Web Intelligence = AI in the Connected World". The 18th Web Intelligence conference (WI'19) aims to achieve a multi-disciplinary balance between research and technological disruptive advances in the fields of how intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, and the Web of Health. WI'19 welcomes research, application as well as Industry/Demo track paper submissions in these core thematic pillars under wider topics, which demand WI innovative and disruptive solutions for any of the next indicative sub-topics. Track 1: Web of People Social networks analytics Social media and dynamics User and behavioral modeling Human centric computing Opinion mining Recommendation engines Sentiment analysis Crowdsourcing and social data mining People oriented applications and services Track 2: Web of Data Data science and machine learning Big data analytics Data integration and data provenance Cognitive models Computational models Information search and retrieval Algorithms and knowledge management Knowledge bases and semantic networks Linked data management and analytics Data driven services and applications Track 3: Web of Things IoT data analytics Web infrastructures and devices Mobile web Distributed systems and devices Open autonomous systems Industrial multi-domain web Streaming data analysis Smart city applications and services Track 4: Web of Trust Hidden web analytics Blockchain analytics and technologies Web-scale security, integrity, privacy and trust Web cryptography Fake content and fraud detection Web safety and openness Monetization services and applications Track 5: Web of Health Personalized health management and analytics Health data exchange and sharing Big data in medicine Wellbeing and healthcare in the digital era Omics research and trends Healthcare and medical applications and services IMPORTANT DATES The Program Chairs are soliciting contributed technical papers for presentation at the Conference and publication in the Conference Proceedings by ACM. Submissions are encouraged before the next deadlines: Feb 20th, 2019: Workshop Proposals May 12th, 2019: Full Papers; Demo papers; Tutorial proposals June 30th, 2019: Notification of Acceptance/Rejection July 14th, 2019: Final, Camera Ready Papers, Due PAPER SUBMISSION Please follow guidelines: https://wi-lab.com/cyberchair/2019/wi19/scripts/submit.php?subarea=Wr/. Papers must be submitted electronically via Cyberchair in standard ACM format (max 8 pages). Submitted papers will undergo a peer review process, coordinated by the International Program Committee. ORGANIZATION General Chairs Georg Gottlob, UK Yannis Manolopoulos, Cyprus Program Chairs Payam Barnaghi, UK Athena Vakali, Greece Steering Committee Chairs Jiming Liu, HK, China Ning Zhong, Japan Track Chairs Panagiotis Bamidis, Greece Marios Dikaiakos, Cyprus Elena Ferrari, Italy Josiane Xavier Parreira, Ireland Herman Purohit, USA Workshop Chairs Dimitrios Katsaros, Greece Rahul Pandey, USA Demo Chairs Amelie Gyrard, USA George Pallis, Cyprus Proceedings Editor Theodoros Tzouramanis, Greece Publicity Chairs Karin Becker, Brasil Leonidas Anthopoulos, Greece Yang Liu, Hong Kong Xujuan Zhou, Australia

March 16, 2019

Post-Doc position: HuRRiCane project (deadline 27/03)

by Xavier Hinaut

Dear Colleagues, I would like to share the following post-doc position opening in my team (see below) with the title: HuRRiCane: Hierarchical Reservoir Computing for Language Comprehension If you know people interested, please forward. Thank you very much. Best regards, Xavier Hinaut Inria Researcher (CR) Mnemosyne team, Inria LaBRI, Université de Bordeaux, France Institut des Maladies Neurodégénératives +33 5 33 51 48 01 www.xavierhinaut.com --- Title HuRRiCane: Hierarchical Reservoir Computing for Language Comprehension Post-doc position for 1 year Starting October 2019 Deadline for applications Send email ASAP and before 27th of March 2019 Apply on before 31st of March 2019 How to apply? All info here: https://sites.google.com/site/xavierhinaut/job-internship-offers/post-docto… Remuneration 2653€ / month (before taxes) Keywords Computational Neuroscience, Recurrent Neural Networks, Reservoir Computing, Language Processing, Language Acquisition, Speech Processing, Modeling, Language Grounding, Prefrontal Cortex, Sequence Learning, Machine Learning. Scientific research context How does our brain understand a sentence at the same time as it is pronounced? How are we able to produce sentences that the brain of the hearer will understand? There is a huge number of tools for Natural Language Processing (NLP), but there is fewer computational models that try to understand how language comprehension and production works effectively in the brain. There are theoretical models or models based on psychological experiments (Dell & Chang 2014), but few models are based on neuro-anatomy and brain processes (Hinaut & Dominey 2013). Moreover, even fewer of these models have been implemented in robots, to demonstrate their robustness among other things (Hinaut et al. 2014). Using robots to study language grounding, acquisition and development is not a new topic, in fact Cangelosi et al. (2010) have proposed a roadmap to tackle this long research plan. In order to model how a sentence can be processed, word by word (Hinaut & Dominey 2013), or even phoneme by phoneme (Hinaut 2018), the use of recurrent neural networks such as Reservoir Computing (Jaeger 2004), and its extension, the Conceptors (Jaeger 2017), offers advantages and interesting results. In particular, the possibility to compare the dynamics of the model with the dynamics of brain electrophysiological recordings (Enel et al. 2016) is an interesting asset. The Reservoir Computing paradigm is also interesting because it can be trained with few data and have quick execution time for human-robot interactions. The use of linguistic models with robots, is not only useful to validate the models in real conditions: it also enables to test other hypotheses, notably the anchoring of the language (Harnard 1990) or the emergence of symbols (Taniguchi et al., 2016). Work description The objective is to experiment how a sentence comprehension model, based on reservoir computing, can learn to understand sentences by exploring which meanings can have the sentences, implying several steps from stream of phonemes to words and from stream of words to sentence comprehension. The model will be implemented on a virtual agent first and then on the Nao humanoid robot For the experiments we want to make, a model implemented in a situated agent or robot is needed in order to "understand" the meaning of the utterance which is being told and figure out whether the meaning is plausible or not. If the meaning found does not make sense, the model could "re-parse" the sentence and reinterpret it. Moreover, we prefer to have a concrete corpus of based on actions a robot can do rather than abstract sentences of the Wall Street Journal (a classical benchmark). We have already performed several experiments with both sentence comprehension and production models with humanoid robots such as iCub and Nao (Hinaut et al. 2014, Twiefel et al. 2016). Having a plausibility measure of a meaning will allow us to set up a cascading reinterpretation if necessary, first from the word level, and if that is not enough, to reinterpret the phonemes to find new plausible words. There exists two main types of observations made with an electroencephalogram (EEG) with human subject: P600 and N400. They are assumed to correspond to syntactically or semantically reinterpretations of the sentence. The model developed will have to account for these induced observations. In Hinaut & Dominey (2013), we showed that our model could provide an equivalent of P600 when a sentence was syntactically complex. This project is linked to other projects in the team on the hierarchical organization of the prefrontal cortex (including Broca's area, involved in language). This hierarchy corresponds to an increasingly higher abstraction, which is made by different sub-areas. We will therefore be able to link this post-doc project to existing projects of the team, where different levels of abstractions are necessary for sentence comprehension. Main References - G. S. Dell, & F. Chang (2014) The P-chain: Relating sentence production and its disorders to comprehension and acquisition. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1634). - H. Jaeger, (2017) Using conceptors to manage neural long-term memories for temporal patterns. The Journal of Machine Learning Research, 18(1), 387-429. - X. Hinaut, P.F. Dominey (2013) Real-Time Parallel Processing of Grammatical Structure in the Fronto- Striatal System: A Recurrent Network Simulation Study Using Reservoir Computing. PloS ONE 8(2): e52946. - X. Hinaut, M. Petit, G. Pointeau, P.F. Dominey (2014) Exploring the Acquisition and Production of Grammatical Constructions Through Human-Robot Interaction. Frontiers in NeuroRobotics 8:16. - Hinaut, X. (2018). Which Input Abstraction is Better for a Robot Syntax Acquisition Model? Phonemes, Words or Grammatical Constructions? In 2018 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). Skills Good background in computational neuroscience, computer science, physics and/or mathematics; A strong interest for neuroscience, linguistics and the physiological processes underlying learning; Python programming with experience with scientific libraries Numpy/Scipy (or similar programming language: matlab, etc.); Experience in machine learning or data mining; Independence and ability to manage a project; Good English reading/speaking skills. French speaking is not required Benefits package Subsidized meals Partial reimbursement of public transport costs Possibility of teleworking (after 6 months of employment) and flexible organization of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage

March 15, 2019