- Comp-neuro - lists.cnsorg.org

Call for participation in the Frontiers topic "Advances in brain functional and structural networks modeling via graph theory"
by farras abdelnour 13 Apr '21

13 Apr '21

We would like to announce a special issue of Frontiers in Neuroscience titled “Advances in brain func/onal and structural networks modeling via graph theory,” https://www.frontiersin.org/research-topics/20135/advances-in-brain-functio… The aims of this Research Topic are to advance the current understanding of the brain modeled as a mathematical network, develop new and advanced methods capturing the graph relationship between function and structure, propose new analysis methods of brain time series explicitly grounded on underlying structural network, and ultimately apply the resulting knowledge to brain disease and further foster the understanding of the brain’s underlying configuration and dynamics. We welcome submissions focusing on but not limited to the following topics: - Application of tools such as machine learning, deep learning and convolutional neural network to functional imaging data from fMRI to EEG to predict function from structure. - Study of graph properties of structural or functional networks in healthy and non-healthy brains. - Graph signal processing and harmonic analysis applied to brain networks. - Novel methods and modalities for constructing functional and structural networks. Farras Abdelnour Amy Kuceyeski Ashish Raj Yasser Iturria Medina Samuel Deslauriers-Gauthier -- Farras Abdelnour *Guest Associate Editor of the Frontiers Research Topic **"**Advances in brain functional and structural networks modeling via graph theory <https://www.frontiersin.org/research-topics/20135/advances-in-brain-functio…>* *”* farras.abdelnour(a)gmail.com http://sacklerinstitute.academia.edu/FarrasAbdelnour http://www.abdelnour.photos

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Postdoc position in Litwin-Kumar group at Center for Theoretical Neuroscience, Columbia U.
by ashok litwin-kumar 13 Apr '21

13 Apr '21

A Postdoctoral Research Scientist position is available in the group of Dr. Ashok Litwin-Kumar at Columbia’s Center for Theoretical Neuroscience. The postdoc will develop tools for the analysis of synapse-level wiring diagrams (“connectomes”) and theoretical methods for understanding how network structure identified by such datasets constrains the dynamics of task-optimized neural networks. The development of such methods is important and timely given the increasing availability and scale of connectomic data. The postdoc will be integrated into the large, vibrant neuroscience community at Columbia University of which the Center for Theoretical Neuroscience forms a key component. They will also have the opportunity to participate in strong existing collaborations with groups at Columbia, Janelia, Cambridge, and elsewhere focused on the generation and analysis of connectome data. Applicants are expected to have a PhD in Physics, Mathematics, Computer Science, Statistics, Neuroscience, Biology, or a related discipline and, preferably, experience in theoretical neuroscience or the statistical analysis of neuroscience data. The Mortimer B. Zuckerman Mind Brain Behavior Institute at Columbia University brings together researchers from different scientific disciplines to transform our understanding of the mind and brain. In this highly interactive research environment, laboratories work together to gain critical insights into human health by exploring how the brain develops, performs, endures and recovers. The Zuckerman Institute is housed in the Jerome L. Greene Science Center, an architectural masterpiece on Columbia University’s Manhattanville campus. All appointments are initially for one year and are renewable for at least three years given satisfactory performance. The salary is competitive. Applicants should apply through Columbia’s job portal: https://pa334.peopleadmin.com/postings/7453 Applications should include the following: 1. CV, including a list of publications 2. Statement of research interests 3. Three letters of reference (reference writers should send their letters directly to yao2107(a)columbia.edu) Columbia University is an Affirmative Action/Equal Opportunity employer. Columbia values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.

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Statistical neuroscience postdoc in houston
by xaq pitkow 13 Apr '21

13 Apr '21

Postdoctoral research position in Statistical Neuroscience POSITION: We seek a highly motivated postdoctoral research fellow for a collaborative team project building statistical models for interpreting large scale neural recordings. The fellows will develop new methods and applications of probabilistic graphical models to infer statistical interactions amongst neurons and with their environment. The tools will be validated in neural network simulations, tested in physiological recordings, and made widely available to the neuroscience community for understanding data from next-generation experiments. TEAM: Fellows will join a lively team led by theorists Krešimir Josić and Xaq Pitkow, and may work with collaborators Genevera Allen, Ankit Patel, Robert Rosenbaum, and Andreas Tolias as well as several other labs interested in applying novel methods we develop. Fellows will also be members of the new Center for Neuroscience and Artificial Intelligence housed at the Baylor College of Medicine and supported in part by the NSF NeuroNex program. The Center brings together interdisciplinary researchers from across Houston, including members from Baylor College of Medicine, Rice University, University of Houston, and University of Texas Health Sciences. Researchers at the Center contribute diverse expertise in fields including neuroscience, machine learning, statistics, physics, computer science, electrical engineering, and applied mathematics. QUALIFICATIONS: Candidates must have outstanding mathematical skills and a PhD in a relevant quantitative discipline, and expertise in probabilistic graphical models or statistical machine learning. APPLYING: Applicants should email a letter of research interests and CV to Camila Lopez (Camila.Lopez(a)bcm.edu) along with contact information for three references. We look forward to hearing from you!

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NEST Conference 2021 goes virtual — registration & call for contributions open
by Hans Ekkehard Plesser 13 Apr '21

13 Apr '21

Dear all, The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2021. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. This year's conference will again take place as a virtual conference on Monday/Tuesday 28/29 June 2021 followed by a virtual NEST User Hackathon until Friday 2 July, which offers the opportunity to deep-dive your own code with expert developers at your fingertips. Registration and submission of contributions are now open! We are inviting contributions to the conference, including plenary talks, "posters", breakout sessions and workshops on specific topics. Please register and submit your contribution(s) via the conference website https://nest-simulator.org/conference. Important dates 16 May 2021 — Deadline for submission of contributions and for NEST Initiative Membership applications 08 June 2021 — Notification of acceptance 21 June 2021 — Registration deadline 28 June 2021 — NEST Conference 2021 starts We are looking forward to seeing you all in June! Hans Ekkehard Plesser, Dennis Terhorst & Anne Elfgen -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

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Faculty Position at the University of Calgary
by Wilten Nicola 13 Apr '21

13 Apr '21

The * Department of Computer Science* seeks an outstanding candidate for a tenure-track position at the * Assistant Professor level in the area of * * Fundamental Data Science* with an anticipated start date of September 1, 2021. The applicant must possess a PhD in Computer Science or a Data Science-related discipline at the time of appointment. The successful candidate must demonstrate evidence of a track record of impactful publications in high quality journals and conferences. The successful applicant needs to contribute to the Faculty's innovative teaching and research initiatives, including our highly successful professional graduate programs in Data Science & Analytics <https://science.ucalgary.ca/data-science>. The successful applicant must have demonstrated expertise in the latest big data processing approaches, data analysis, information presentation and visualization, machine learning, cloud computing, or distributed processing of sensors and computational devices. The candidate must have strong interests in multi-disciplinary approaches in exploring artificially intelligent systems as partners to augment scientific inquiries, support innovative exploration of ideas, and investigate how smart technologies and artificial intelligence can be used to benefit our society and help solve scientific, social, and environmental challenges. *The candidate in Fundamental Data Science ** needs to demonstrate evidence of foundational research in data science and machine-based analytics, thus creating the next generation of artificial intelligence systems (including but not limited to deep learning and explainable AI). We are also seeking applicants with demonstrated evidence of expertise in neuroscience-inspired artificial intelligence to investigate, for example, human/brain-computer interfaces, neuroscience-inspired machine learning architectures, and their applications. * The candidate must have strong interests in multi-disciplinary approaches in supporting the Faculty of Science's Data Science research initiatives and training programs, which we offer in partnership with the Cumming School of Medicine and the Haskayne School of Business. The candidate is expected to contribute to the University of Calgary’s * Growth through Focus * <https://ucalgary.ca/president/unstoppable-growth-through-focus?%2Fgrowth-th…> strategy to promote transdisciplinary scholarship and innovation and empower our students and communities to tackle society’s big problems. The candidate’s teaching obligations will be primarily in our professional graduate Data Science & Analytics <http://science.ucalgary.ca/data-science> programs. *Application Deadline: May 3, 2021 * Please apply online via the link: *https://careers.ucalgary.ca/jobs/6496560-assistant-professor-fundamental-data-science-department-of-computer-science-faculty-of-science <https://careers.ucalgary.ca/jobs/6496560-assistant-professor-fundamental-da…>.* A complete application should be submitted in a single pdf, and include the following: - Cover letter (1-2 pages) - Current curriculum vitae - Research Plan (1-3 pages) - Teaching Philosophy (1-2 pages) - Statement describing the candidate’s contributions, or potential contributions, to Equity, Diversity, and Inclusion (EDI) along with their ability to work with a culturally diverse and international student, staff, and faculty body (up to 1 page) *Applications can be addressed to: Dr. Christian Jacob, Head, Department of Computer Science* The University of Calgary has launched an institution-wide Indigenous Strategy <https://www.ucalgary.ca/indigenous-strategy/> in line with the foundational goals of * Eyes High <https://www.ucalgary.ca/eyeshigh>*, committing to creating a rich, vibrant, and culturally competent campus that welcomes and supports Indigenous Peoples, encourages Indigenous community partnerships, is inclusive of Indigenous perspectives in all that we do. *The University of Calgary recognizes that a diverse staff/faculty benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers that have been historically encountered by some people in our society. We strive to recruit individuals who will further enhance our diversity and will support their academic and professional success while they are here. All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority. In this connection, at the time of your application, please answer the following question: Are you a Canadian citizen or a permanent resident of Canada? (Yes/No) * *Additional Information* To learn more about academic opportunities at the University of Calgary and all we have to offer, view our * Academic Careers website <http://careers.ucalgary.ca/pages/academic-careers>*. For more information about the Faculty of Science visit * Careers in the Faculty of Science <https://science.careers.ucalgary.ca/>.* *About the University of Calgary* The University of Calgary is Canada’s leading next-generation university – a living, growing and youthful institution that embraces change and opportunity with a can-do attitude. Located in the nation’s most enterprising city, the university is making tremendous progress on its Eyes High journey to be recognized as one of Canada’s top five research universities, grounded in innovative learning and teaching and fully integrated with the community it both serves and leads. The University of Calgary inspires and supports discovery, creativity and innovation across all disciplines. For more information, visit *ucalgary.ca <http://www.ucalgary.ca>*. *About Calgary, Alberta* Calgary is one of the world's cleanest cities and has been named one of the world's most livable cities for years. Calgary is a city of leaders - in business, community, philanthropy and volunteerism. Calgarians benefit from a growing number of world-class dining and cultural events and enjoy more days of sunshine per year than any other major Canadian city. Calgary is less than an hour's drive from the majestic Rocky Mountains and boasts the most extensive urban pathway and bikeway network in North America.

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Don't miss the upcoming INCF Assembly on FAIR neuroscience!
by Helena Ledmyr 12 Apr '21

12 Apr '21

Join us virtually for the 2021 INCF Assembly on April 19-27, with an exciting program <https://neuroinformatics.incf.org/2021/program> covering different aspects of FAIR neuroscience, registration <https://neuroinformatics.incf.org/2021/registration> is now open! Members of INCF enjoy heavily discounted registration fees, which are already lowered due to the meeting being virtual this year. You can sign up for membership and see the other benefits here <https://www.incf.org/join-incf/individuals> - one year costs 20 USD for students and postdocs, and 50 USD for regular members. *Please share this with your networks!* The INCF Assembly 2021 aims to provide the neuroscience community with approaches that can be used today to implement the FAIR principles in their research. It also aims to provide tool developers and infrastructure providers with an opportunity to interact with the user community and to interact with other practitioners to advance the field of neuroinformatics. The 2021 INCF Assembly will address topics around FAIR neuroscience such as: - FAIR approaches for neuroscience in general, neuroimaging, electrophysiology, and computational neuroscience - Electrophysiology and computational neuroscience - Data science - Showcase of tools and infrastructures - Open innovation and intellectual property - Information about ongoing work in INCF councils and committees - Funders and publishers roundtable - Workshops on developing standards and a roadmap for FAIR neuroscience The INCF Assembly is the only international meeting that focuses on providing researchers with hands-on training experiences and enabling interaction with software developers and infrastructure providers. We hope to see you online next week! Best wishes, Helena and the INCF Team ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr(a)incf.org Phone: +46 8 524 870 35 incf.org neuroinformatics.incf.org

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NIH-funded course on multiscale modeling of brain circuits using NetPyNE/NEURON
by Salvador Dura 11 Apr '21

11 Apr '21

Would you like to build a model of brain circuits but don’t know where to start? Want to test a hypothesis or find an explanation for your experimental observations? Our online hands-on course (May 17 to June 1, 2021) will provide you an accelerated introduction to theory, methods, and tools to build brain circuit models at multiple scales (molecular, cellular, network, system, behavior) using the NetPyNE<http://netpyne.org/> and NEURON tools. Our tutors will then work closely with you to help you develop your own model. See all the details and how to apply here: http://dura-bernal.org/netpyne-course-2021

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New FRONTIERS TOPIC: Memory Processes in Medial Temporal Lobe: Experimental, Theoretical and Computational Approaches
by Vassilis Cutsuridis 10 Apr '21

10 Apr '21

Dear colleagues, please consider submitting to the new Frontiers Topic in Systems Neuroscience: https://www.frontiersin.org/research-topics/20768/memory-processes-in-media… Regards, --- Vassilis Cutsuridis, PhD, M.Sc, M.A. Senior Lecturer School of Computer Science University of Lincoln UK Tel: +44 (0) 1522 83 5701 Email: vcutsuridis(a)lincoln.ac.uk Web:http://staff.lincoln.ac.uk/vcutsuridis Personal website:http://www.vassiliscutsuridis.org/ "The greatest threat to our planet is the belief that someone else will save it" - Robert Swan "The important thing in science is not so much to obtain new facts as to discover new ways of thinking about them" — Sir William Lawrence Bragg, 1890–1971

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Assistant Professor Position in Cognitive Neurosciences of Language - University of Geneva Switzerland
by Narly Golestani 09 Apr '21

09 Apr '21

Dear all, An Assistant Professor Position in Cognitive Neuroscience of Language is available at the University of Geneva, Switzerland. The position will be in the Psychology section of the Faculty of Psychology and Education Science https://www.unige.ch/fapse/, with access to Campus Biotech Facilities "https://www.campusbiotech.ch/en/node/320". This position is opened in the context of the NCCR (National Center of Research Competence) "Evolving Language" - http://www.snf.ch/en/researchinFocus/nccr/evolving-language/Pages/default.a…. The whole application process can be carried in English. It is required that the successful candidate acquire a working command of French within the first two years in the position. The application deadline is on May 19th, 2021 - please see https://jobs.unige.ch/www/wd_portal.show_job?p_web_site_id=1&p_web_page_id=… for more information. We would be most thankful if you could distribute widely. Thanks in advance, and best wishes, Narly Golestani. ----------------------------------------------------------------------------------------------------------------------------------------------------------------- Brain and Language Lab Prof. Narly GOLESTANI Department of Psychology Campus Biotech 9 Chemin des Mines, 1202 Genève +41 22 379 53 52 <https://outlook.unige.ch/owa/redir.aspx?SURL=5WTo-p-J-W9FrDydU-0WU4PdMytUGs…>http://www.brainandlanguagelab.org https://twitter.com/brain_lang_lab ----------------------------------------------------------------------------------------------------------------------------------------------------------------- <https://outlook.unige.ch/owa/redir.aspx?SURL=5WTo-p-J-W9FrDydU-0WU4PdMytUGs…>

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2y PostDoc position on EEG analysis in Scuola Superiore Sant'Anna, Italy
by Alberto Mazzoni 09 Apr '21

09 Apr '21

Dear all, I am looking with Prof. Silvestro Micera for a motivated postdoc with previous experience in EEG analysis for a 2y contract in the neural engineering area of the Institute of Biorobotics of the Scuola Superiore Sant Anna https://www.santannapisa.it/en/computational-neuroengineering-laboratory https://www.santannapisa.it/en/institute/biorobotics/translational-neural-e… Projects include Alzheimer diagnostics, robotic rehabilitation, neuroprosthetics, Impulse Control Disorders in Parkinson. Last but not least, Tuscany is a great place to live! Please spread the voice and contact me if interested. Thanks, best Alberto Mazzoni

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New FRONTIERS TOPIC: BRAIN CONNECTIVITY, DYNAMICS AND COMPLEXITY
by Stephen José Hanson 09 Apr '21

09 Apr '21

Please considering submitting to the new Frontiers Topic in Human Neuroscience: https://www.frontiersin.org/research-topics/20807/brain-connectivity-dynami… -- Stephen José Hanson Professor Director RUBIC (University- Wide) Department of Psychology (NK) Cognitive Science Center (NB)

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[CFP] MDPI Molecules (IF: 3.267, ISSN: 1420-3049) - Special Issue "Practical Aspects of Molecular Communications"
by Murat Kuşcu 09 Apr '21

09 Apr '21

MDPI Molecules (IF: 3.267, ISSN: 1420-3049) Special Issue on Practical Aspects of Molecular Communications https://www.mdpi.com/journal/molecules/special_issues/molecular_communicati… --------------------------- CALL FOR PAPERS The Internet of Bio-Nano Things (IoBNT) is an emerging technology that aims to extend our connectivity to nanoscale and biological environments with collaborative nanonetworks of artificial nanomachines and biological entities integrated into the Internet infrastructure. To enable the IoBNT and its groundbreaking applications, such as continuous intrabody health monitoring, it is imperative to devise low-complexity nanoscale communication techniques suitable for the envisioned nanomachines of simple architectures. The most promising communication technology for realizing the IoBNT is Molecular Communications (MC), as it ubiquitously manifests itself in many complex biological systems in the Universe, and thus, stands as one of the most common communication modalities, optimized from many aspects as a result of billions of years of evolutionary advancement. Making use of this naturally existing technology requires understanding its foundations through our existing modeling and analysis tools. This quest, which started almost 15 years ago, has received increasing attention from ICT researchers, which have been overly inspired by conventional electromagnetic communication technologies in their approach to this radically different paradigm. These theoretical approaches, however, have not always come with sufficient physical relevance. Currently, this emerging field has come to a critical turning point, as many researchers have started to report on initial MC experiments following different approaches and using different materials, while consistently pointing out a discrepancy between the obtained experimental results and the past theoretical work. This reveals the need to rethink the previous efforts and come up with new interdisciplinary strategies, thus building practical MC techniques and developing feasible MC system components, experimental testbeds, and prototypes in order to close the gap between theory and practice, and expedite the transfer of this emerging technology to the market. Among the challenges stated above, this Special Issue is particularly focused on the practical aspects of MC. Therefore, we are calling for technical papers that report on new research with the potential to move this field forward towards its practical applications, as well as surveys/tutorials focusing on the practical challenges of MC research. Hence, its scope encompasses a wide range of interdisciplinary research topics, with some examples listed as follows: ** The physical design, modeling, and implementation of MC system components (e.g., transmitter, receiver, channel); ** The design and implementation of MC testbeds; ** Practical and low-complexity MC methods (e.g., modulation, detection, channel estimation, synchronization, coding methods); ** The testing and validation of MC transceiver/channel models and MC methods; ** Applications of microfluidics, biosensors, and nanomaterials for MC system design; ** Bio-cyber interfaces between MC networks and conventional macroscale networks; ** Synthetic biology-based MC transceiver architectures; ** Optimization of ligand-receptor interactions for MC; ** Biocompatibility and co-existence challenges; ** Energy harvesting and power transfer techniques for MC networks; ** The design and demonstration of MC applications (e.g., those in healthcare, agriculture, biocomputing). --------------------------- Deadline for manuscript submissions: 15 September 2021 --------------------------- Guest Editors Sasitharan Balasubramaniam, TSSG/Walton Institute, Waterford Institute of Technology (sasib(a)tssg.org) Murat Kuscu, Koc University, Turkey (mkuscu(a)ku.edu.tr) Bige D. Unluturk, Michigan State University, USA (unluturk(a)msu.edu) Kerstin Lenk, Graz University of Technology, Austria (kerstin.lenk(a)tugraz.at ) Ergin Dinc, University of Cambridge, UK (ed502(a)cam.ac.uk) Michael Barros, University of Essex, UK (m.barros(a)essex.ac.uk) --------------------------- Paper submission Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Molecules is an international peer-reviewed open access semimonthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions. --------------------------- Additional information: Please visit the MDPI Molecules Special Issue webpage at: https://www.mdpi.com/journal/molecules/special_issues/molecular_communicati… Inquiries can be addressed to Ms. Emity Wang at: emity.wang(a)mdpi.com, molecules(a)mdpi.com

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Reader/Principal Lecturer in Artificial Intelligence at the University of Hertfordshire
by Volker Steuber 09 Apr '21

09 Apr '21

Reader/Principal Lecturer in Computer Science (Artificial Intelligence) School of Physics Engineering and Computer Science/ Department of Computer Science University of Hertfordshire, Hatfield, UK FTE: Full time position working 37 hours per week (1.0 FTE) Duration of Contract: Permanent Salary: UH9 £51,034 - £60,905 pa dependent on relevant skills and experience Closing date: 9 May 2021 Applications are invited for an academic position as Reader/Principal Lecturer in the Department of Computer Science, University of Hertfordshire. The Department has an international reputation for teaching and research, with 64 academic staff, 40 adjunct lecturer staff, and 65 research students and postdoctoral research staff. With a history going back to 1958, the Department teaches one of the largest cohorts of undergraduate students in the UK, and also delivers a thriving online computer science degree programme. Main duties and responsibilities The person appointed will be expected to make a significant contribution to the leadership of research in the department, including gaining research awards as Principal Investigator, the development of the research environment in the department and across the University, and publishing in peer reviewed journal articles and other internationally excellent or world-leading publications in education. To contribute to the development of, and supervise and teach on, doctoral programmes in the UK and internationally in relation to a wide spectrum of AI, especially emerging topics in AI. Possible fields include, but are not limited to: • Machine learning: reinforcement learning, Deep Methods, statistical methods, large scale data modelling/intelligent processing and high-performance learning algorithms • Robotics: embodied and/or cognitive robotics, HRI, robot safety, emotional/social robots, smart homes and sensors, sensor fusion, assistive robotics, soft robotics, adaptive or evolutionary robotic design • Biological and biophysical computation paradigms, systems biology, neural computation • Complex Systems: collective intelligence, adaptive, autonomous and multi-agent/robot systems, collective and swarm intelligence, social and market modelling, adaptive, evolutionary and unconventional computation • Mathematical Modelling: statistical modelling, information-theoretic methods, compressive sensing, intelligent data visualization, multiscale models, optimization; causality • Emerging Topics in AI: computer algebra and AI, topological methods (e.g. persistent homology), algebraic and category-theoretical methods in AI; modern topics in games and AI; quantum algorithms for AI • AI and applications: financial modelling, AI and biology/physics/cognitive sciences • Foundations: fundamental questions of intelligence and computation, emergence of life/intelligence, Artificial Life Preference will be given to candidates that can deliver teaching to Level 7 in a selection of relevant subjects. The appointee will also be expected to lead and develop taught modules in a range of computer science areas. For appointees with the appropriate experience, there will be the possibility of taking up the role of Head of Subject Group within the department of Computer Science. Skills and experience The appointee will strengthen the research culture in the Department by pursuing research as part of a larger research team, seeking external funding, publishing papers, supervising research students, and participating in commercial activity as appropriate. Therefore it is essential that candidates have a track record (e.g. in published, grant-funded research) in Computer Science. Additionally, experience of different types of assessment and higher education quality assurance is an essential requirement of this role. Prior experience of developing modules and/or programmes of study in Computer Science is essential in addition to significant experience of operating in a UK HE Environment, or equivalent professional experience. Readers/Principal lecturers are expected to take on duties in the capacity of leader, and hence experience of academic leader, programme leadership and line management is desirable. Good interpersonal and presentation skills with proficiency in the English Language are essential along with the ability to manage conflicting demands and work to deadlines. Qualifications required Reader/Principal Lecturer applicants must hold a First Degree and a PhD in an appropriate area of Computer Science or an equivalent, relevant postgraduate professional qualifications. In addition, the Reader/Principal Lecturer will be expected to contribute to the leadership and management academic programmes, as well as proactive participation in enterprise, knowledge transfer and/or research and scholarship in the School. There are expectations of leadership and potentially supervisory oversight of groups of staff. Readers/Principal lecturers are also expected to contribute to the richness of the academic environment, through scholarly activity, support events, projects and activities, including open days, outreach, extra curricula initiatives, and potentially act as a representative of the School or University at national or international fora. The School of Physics, Engineering and Computer Science is an Athena Swan Bronze award holder, and we are committed to providing a supportive environment and flexible working arrangements. The university also provides an onsite childcare facility and child-centred holiday clubs. Staff work with the university values, which are: Friendly, Ambitious, Collegial, Enterprising, and Student focused. Contact Details/Informal Enquiries: Informal enquiries may be addressed to Dr Simon Trainis, Head, Department of Computer Science by email: S.A.Trainis(a)herts.ac.uk Please note that applications sent directly to this email address will not be accepted. Closing Date: 9 May 2021 Interview Dates: TBC but candidates are advised to be available on 16 and 17 June 2021 Apply through https://www.herts.ac.uk/staff/careers-at-herts, Reference Number: 032595 Date Advert Placed: 8 April 2021 Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK +44 (0)1707 284350 biocomputation.herts.ac.uk<http://biocomputation.herts.ac.uk>

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PhD position in computational neuroscience and modeling of salamander spinal locomotor circuits, EPFL, Lausanne Switzerland
by Auke Ijspeert 08 Apr '21

08 Apr '21

The Biorobotics laboratory (Biorob, https://www.epfl.ch/labs/biorob/ <https://www.epfl.ch/labs/biorob>) at EPFL (Lausanne, Switzerland) has one open *PhD student position* in *computational neuroscience and modeling of salamander spinal locomotor circuits*. The position is part of the ERC Synergy Salamandra project that will start in September 2021, together with Prof. Andras Simon (KTH Sweden) and Prof. Dimitri Ryczko (U. Sherbrooke, Canada). See some info here: https://actu.epfl.ch/news/salamanders-provide-a-model-for-spinal-cord-rege-… The goals of the position are (i) to develop numerical models and simulations of the locomotor circuits in the spinal cord of the salamander, (ii) to analyze their dynamics when coupled to a simulated mechanical model of the body (interactions between central and peripheral mechanisms), and (iii) to investigate their regenerative properties after spinal cord lesions. The models will be based on integrate-and-fire neuron models. The positions are fully funded for 4 years. EPFL is one of the leading Institutes of Technology in Europe and offers extremely competitive salaries and research infrastructure. *Requirements:* Candidates need to have a Master degree in a field related to computational neuroscience, e.g. in computer science, neuroscience, or physics. The ideal candidate for this position should have a strong numerical modeling background, good programming skills, good math background (e.g. in dynamical systems), and interest in locomotion and robotics. *How to apply for the position:* Step 1: The position is only open to applicants who have been accepted by the EPFL doctoral school (see http://phd.epfl.ch/ <http://phd.epfl.ch/>). The first step is therefore to fill the applications for one of the relevant EPFL doctoral programs in neuroscience, or related fields (e.g. computer science or robotics). Step 2: In parallel to step 1, or once accepted by one of the doctoral programs (please specify which doctoral program and the date of acceptance), the application to the position should be sent by email to Prof. Auke Ijspeert and consist of a motivation letter (explaining why you are interested in the project, and why you feel qualified for it) and a copy of the doctoral program application. Informal inquiries about the relevance of an application can be sent to auke.ijspeert(a)epfl.ch <mailto:auke.ijspeert@epfl.ch> (e.g. before or while submitting an application to the doctoral school), but responses can be slow because of a heavy schedule and a filled mail box. *Deadline and starting date:* *The ideal starting date is September 2021* (with some flexibility). Applications will be considered starting *from May 31 2021*, and then continuously until the positions are filled. *Instructions to apply* can be found here: https://www.epfl.ch/labs/biorob/openings/ Best regards, Auke Ijspeert -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

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New Online Master Program for Cognitive Science M.Sc.
by mcruz＠uni-osnabrueck.de 08 Apr '21

08 Apr '21

Dear all, We are very excited to announce that the Institute of Cognitive Science at Osnabrück University will offer a new digital track of the Cognitive Science M.Sc. program! The DAAD-funded program targets international students who can successfully complete most of the coursework remotely. Possible focus areas include Artificial Intelligence, Neuroinformatics, and Neuroscience. In addition to the online coursework, students will be present in Osnabrück for 2-3 weeks every academic year. During this period, students will be able to get to know one another and participate in courses and face-to-face exams. This also gives students a chance to get to know the city of Osnabrück, learn about German culture, and gain insight into the work-life in Germany through possible internships and company visits. The program will be open for applications soon - check out our website (https://www.ikw.uni-osnabrueck.de/en/courses_of_study/master_program/cognit…) for more details. Please do not hesitate to contact us (os-cosmos(a)uni-osnabrueck.de) with further inquiries! We look forward to hearing from you. Best wishes, Misha Cruz Wissenschaftliche Mitarbeiterin OS-COSMOS mishael.g.cruz(a)uni-osnabrueck.de Institut für Kognitionswissenschaften und virtUOS Universität Osnabrück Misha Cruz Wissenschaftliche Mitarbeiterin OS-COSMOS mishael.g.cruz(a)uni-osnabrueck.de Institut für Kognitionswissenschaften und virtUOS Universität Osnabrück

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2 postdoc positions at the Perception, Neuroimaging, and Modeling lab at Georgia Tech
by Xue, Kai 08 Apr '21

08 Apr '21

Hi all, The Perception, Neuroimaging, and Modeling lab (PI: Dr. Doby Rahnev, rahnevlab.gatech.edu) has two postdoctoral fellow openings to work on funded projects. The exact topic of research is flexible and could include investigating the neural and/or computational bases of perception, memory, metacognition, attention, expectation, learning, cognitive control, working memory, etc. The Rahnev lab uses a wide range of methods such as fMRI, TMS, psychophysics, computational modeling and concurrent TMS-fMRI. The position is initially for 2 years with a possibility for extension. Candidates will be given the opportunity to conduct studies building on current lab research or developing their own projects ideas. Review begins April 15, 2021 and will continue until both positions are filled. The Rahnev lab, at the Georgia Institute of Technology in Atlanta, has access to exceptional research facilities. The lab space is conveniently located just steps away from a 3T Prisma MRI scanner at the Center for Advanced Brain Imaging (CABI, cabiatl.com) The lab also houses its own TMS equipment and is pioneering the use of concurrent TMS-fMRI that allows TMS to be delivered inside the MRI scanner. Working in the Rahnev lab presents opportunities for collaborations across several Atlanta-based universities including Georgia Tech, Emory and Georgia State. Georgia Tech is located at the heart of Atlanta, a vibrant, multicultural city that offers many opportunities for engaging in cultural, culinary, sports, and entertainment activities. Our lab aims to create a supportive, fun and productive environment. We are especially interested in maintaining our already diverse team and therefore seek applications from qualified individuals from all demographics and backgrounds. For more information, visit our website at http://rahnevlab.gatech.edu/getinvolved.html. To apply, email (1) your CV, (2) a brief description of what types of research questions you may want to pursue if you join us, and (3) a list of three references (names and email addresses will suffice at this point) to Dr. Rahnev (rahnev(a)psych.gatech.edu) Review begins on April 15, 2021 and will continue until both positions are filled. Best, Kai Kai Xue PNM Lab Manager Georgia Institute of Technology | Department of Psychology 424.402.7816

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Research Software Engineer - Comp. Neuroscience Project @Harvard
by Mohammadi Shad, Mahmood 07 Apr '21

07 Apr '21

Dear Comp-Neuro Community, We have an opening in the FAS Research Computing department at Harvard University related to Computational Neuroscience. Harvard University is hiring a Research Software Engineer (RSE) to support researchers' high-performance scientific software development, numerical analysis, and machine learning (ML) needs. This project plays an essential role in helping facilitate cutting-edge research on the brain. Through regular engagements with researchers, this RSE will help with the refactoring of a legacy software package for clustering electrophysiological neural data (spike sorting). They will improve code design, unit testing, performance of statistical/numerical libraries, cloud-readiness, as well as porting to general-purpose scientific programming languages (Python, C++, Julia). Additionally, the RSE will make a modular software structure to test different clustering and cluster-tracking algorithms utilizing ML and deep learning (DL) techniques. More information: https://www.rc.fas.harvard.edu/about/employment/#Research_Software_Engineer… Best, ---------------- Mahmood M. Shad, PhD Associate Director of Research Software Engineering FAS Research Computing Harvard University 38 Oxford Street, Room 210 Cambridge, MA 02138 Email: mohammadi_shad(a)harvard.edu<mailto:mohammadi_shad@harvard.edu>

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Postdoc in neural network and robot models of body representations
by Matej Hoffmann 07 Apr '21

07 Apr '21

** *Dear colleagues, * *** there is a postdoc openingin the humanoid, cognitive, neuro-, and collaborative robotics group (https://cyber.felk.cvut.cz/research/groups-teams/humanoids/) coordinated by Dr. Matej Hoffmann (https://sites.google.com/site/matejhof/) at the Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague. In the context of a 5-year project entitled “Whole-body awareness for safe and natural interaction: from brains to collaborative robots” for excellence in fundamental research from the Czech Science Foundation (seehttps://cyber.felk.cvut.cz/news/new-gacr-expro-project <https://cyber.felk.cvut.cz/news/new-gacr-expro-project/>for more information), we seek a postdoctoral researcher to conduct research in some of the following areas: - Neural network models of multisensory integration, body schema, and reaching development - Employing humanoid robots with artificial skin to construct embodied computational models of body and peripersonal space representations The postdoc will independently conduct research and will also be involved in shaping the research of the group and supervising students. Robots and infrastructure The humanoids group has at its disposal several humanoid robots (iCub, 2 Naos - 1 with whole-body sensitive skin) and collaborative or lightweight manipulators (KUKA LBR iiwa, UR10e with Airskin, Kinova Gen3). Additional infrastructure includes several robot hands (Barrett Hand BH8-282, QB Soft Hand) and grippers, a 3D Motion Capture System, impact measuring devices, etc. The group has also access to the facilities of the Research Center for Informatics such as a high-performance computational cluster. International collaborations There is a large group of international experts who have agreed to act as collaborators/advisors on the project. These include experts in - developmental psychology: Dr. Kevin O’Regan (CNRS, Paris), Prof. Jeffrey J. Lockman (Tulane University, New Orleans) - cognitive psychology and neuroscience: Prof. Matthew Longo (Birkbeck University, London), Prof. Tobias Heed (Bielefeld), Prof. Andrea Serino (University of Lausanne), Dr. Jean-Paul Noel (Center for Neural Science at New York University), Drs. M.Gori and Giulia Cappagli (Italian Institute of Technology, Dr. S. Signorini (IRCSS Fondazione Mondino Pavia) Prague There is currently a very lively international ecosystem in the areas of robotics and AI - at the Department and in Prague in general. See, for example, http://rci.cvut.cz/or https://prg.ai/en/. We seek applicants with a background in computational modeling, artificial neural networks or machine learning, with interest in neuroscience. Background in robotics is not required. How to apply. The application should include: -Motivation letter (max. 1 page) - CV (including 2 reference persons) -1 Letter of recommendation (can be from 1 of the reference persons above) Please send the application or inquiries to matej.hoffmann(a)fel.cvut.czwith (“postdoc application” in the subject). The position is open until filled. * -- Matej Hoffmann, PhD Assistant Professor Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague Karlovo namesti 13 121 35 Praha 2, Czech Republic +420 224 357 387 https://sites.google.com/site/matejhof/home https://cyber.felk.cvut.cz/humanoids

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EBRAINS Training on Model Validation
by Shailesh Appukuttan 07 Apr '21

07 Apr '21

*EBRAINS Training on Model Validation* *4–7 May 2021* https://www.humanbrainproject.eu/en/education/training-on-model-validation/ The HBP Education Programme is organising a training on Model Validation. This training will guide modellers and experimentalists in model validation (comparing simulation results to experimental data) using the EBRAINS Model Validation Framework. The training will take place *virtually* over 4 days. Participation in the Training is open to the entire student and researchers community, regardless of whether they are affiliated with the HBP or not. We encourage young scientists to register and aim at an equal gender representation. *Registration will be open until 20 April 2021 and is free of charge.* *Call for Submissions:* *For the 2nd part of the training,* we invite interested researchers to bring their own models and to send us a short abstract, describing your model. The abstracts should include: • A short description of your model • Simulators/tools used for developing and simulating models • Overview of validation(s) you wish to implement during the training (specify at least one validation test), along with target (experimental) reference data • If you have already some questions or comments, you are welcome to mention them • If your model is already published, please include references at the end of the abstract Please send your abstract latest until *20 April 2021, 5pm (CET)* to training-support(a)humanbrainproject.eu Further information on abstract submission and registration: https://www.humanbrainproject.eu/en/education/training-on-model-validation/ For any further questions, please contact training-support(a)humanbrainproject.eu Cheers, Shailesh Appukuttan

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PhD Position in Computational Neuroscience, NI group @ Technische Universität Berlin
by Obermayer, Klaus, Prof. Dr. 07 Apr '21

07 Apr '21

Neural Information Processing Group @ Technische Universität Berlin Research Assistant (PhD Position) in Computational Neuroscience Computational models of sleep oscillations during non-REM sleep Salary grade E13 (TV-L Berliner Hochschulen) Duration: 5 years Starting date: June 1st, 2021 Reference number: IV-239/21 Working field: The successful candidate will work the computational modelling of sleep rhythms in the context of memory consolidation during non-REM sleep and on the effect of perturbations by transcranial electrical stimulation (cf. Aspart et al. 2018, PLoS Comput Biol 14, e1006124.; Cakan & Obermayer 2020, PLoS Comput Biol 16, e1007822; Cakan et al., 2021, arXiv:2011.14731v2). She/he is expected to collaborate with the theoretical and experimental/clinical research groups of the DFG-funded CRCs 910 (control of self-organizing nonlinear systems, https://www.itp.tu-berlin.de/sfb910/) and 1315 (mechanisms and disturbances in memory consolidation, https://www.sfb1315.de/) Teaching obligations include the supervision of tutorials for courses of the research group in the machine learning field (Master level). Requirements: Successfully completed university degree (Master, Diplom, or equivalent) in Computational Neuroscience, Computer Science, Electrical Engineering, Mathematics, Physics, or related fields; in-depth knowledge in dynamical systems and machine learning; very good programming skills; very good command of the German and English languages. How to apply: Please send your application with the reference number and with the usual documents (CV, motivation letter, transcripts of records, certificates, and the names of two persons who can provide recommendation letters) to Prof. Dr. Klaus Obermayer, FG Neuronale Informationsverarbeitung, Sekr. MAR 5-6, Marchstrasse 23, 10587 Berlin, Germany, or preferably by e-mail to klaus.obermayer(a)tu-berlin.de. For information about the research group see https://www.ni.tu-berlin.de/. Please send copies only. Original documents will not be returned. The vacancy is also available on the internet at http://www.personalabteilung.tu-berlin.de/menue/jobs/ Application deadline for full consideration: 7. 5. 2021. Applications will be accepted until the position is filled.

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Postdoctoral position in the cognitive neuroscience of aging at UCR and UCI
by Aaron Seitz 05 Apr '21

05 Apr '21

A postdoctoral position in the cognitive neuroscience of aging is available at the University of California, Riverside (UCR) to work with a research team including Professors Xiaoping Hu, Aaron Seitz, Ilana Bennett, and Weiwei Zhang at UCR, and in collaboration with Megan Peters at UC Irvine. This opportunity will involve working on a NIA-funded project to understand how individual differences in the structure and function of the locus coeruleus moderate perception and memory in an older adult population. The postdoctoral researcher is expected to take a lead role in the project, including setting up experiments, collecting and analyzing data, training and supervising graduate students and undergraduate research assistants, and disseminating results at conferences and in research publications. Successful candidates should have a strong background in fMRI data collection and analysis, advanced computational and statistical competencies, management skills, creativity and a high-level of conscientiousness. They should also have expertise in one or more of the following areas (and knowledge of the others): cognitive aging, brain aging, psychophysics, perception or memory processes, eye-tracking, metacognition, and the role of the locus coeruleus in cognition. Experience in programming psychophysical experiments, in either MATLAB or Python, is preferred. Researchers must possess a doctoral degree in Psychology, Education, Cognitive Science, Neuroscience, or a related field. The primary appointment will be either in the UCR Psychology or Bioengineering Departments, depending upon candidate interest and primary expertise. Working with our diverse research team will provide a unique interdisciplinary research and mentoring experience. Research will be conducted at the UCR Center for Advanced Neuroimaging, which features a 3T Prisma fMRI system with state of the art eye-tracking and psychophysical systems. Applications must include a cover letter, curriculum vitae, 1-2 sample publications, statement of research interests, statement of past and/or planned future contributions to advancing diversity and inclusive excellence, and the names of three to five references with phone numbers and emails. Review of applications will begin on April 18, 2021 and may continue until the position is filled. Applications received by April 18, 2021 will receive full consideration. Please send these to Aaron Seitz (aseitz(a)ucr.edu) UCR is a world-class research university with an exceptionally diverse student body. Its mission is explicitly linked to providing routes to educational success for underrepresented and first-generation college students. A commitment to this mission is a preferred qualification. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law. Best, -Aaron ************************************************** Aaron Seitz, Ph.D. Professor of Psychology Director of UCR Brain Game Center University of California, Riverside 900 University Ave. Riverside, CA 92521 Ph: (951) 827-6422 Fax: (951) 827-3985 Email: aseitz(a)ucr.edu<mailto:aseitz@ucr.edu> Web: http://faculty.ucr.edu/~aseitz/ BGC: http://braingamecenter.ucr.edu<http://braingamecenter.ucr.edu/> **************************************************

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My Magnum Opus about how our brains make our minds will be published next month by Oxford University Press
by Grossberg, Stephen 02 Apr '21

02 Apr '21

Dear Colleagues, I am writing to call your attention to the publication next month by Oxford University Press of my Magnum Opus about how our brains make our minds in health and disease. The book also has implications for developing increasingly autonomous and adaptive technologies that emulate, and can thus harmoniously interact with, human users. The book discusses many topics about mind and brain. For one, it explains how, where in our brains, and why from a deep computational perspective our brains can learn to consciously see, hear, feel, and know things about the world. I wrote the book to be self-contained, accessible, and appealing to the general public. In addition to its exposition of how our minds work and how these discoveries inspire new designs in engineering, technology, and AI, I have been able to use that foundation to provide discussions of many topics that are of current interest, including how we see visual art; how mental disorders like Alzheimer's disease, autism, amnesia, and disordered sleep are caused; biological bases of creativity and morality; why so many decisions are irrational despite our belief that evolution selects adaptive behaviors; how learned helplessness, self-punitive behaviors, and fetishes may arise and persist; how our brain's design specializes a universal developmental code that it shares with all living cells across multiple species; and how our ceaseless interactions with the external world have shaped the designs that enable us to understand the physical world around us. I hope that, after reading the book Summary and Description below, and the Advance Reviews by 18 leading psychologists, neuroscientists, neural modelers, and technologists, you may be interested in reading the book. If you do, please see the information in the attached flyer for how. Best wishes, Steve Grossberg +++++++++++++++++++++++++++++++++++++++ Conscious MIND, Resonant BRAIN: How Each Brain Makes a Mind by Stephen Grossberg 800 pages, $35 (see attached flyer for 30% reduction to $24.50) https://global.oup.com/academic/product/conscious-mind-resonant-brain-97801… SUMMARY • Explores how your mind works, notably how you learn to consciously see, hear, feel, and know things • Explains how mental disorders can be understood on a continuum with normal behaviors • Creates a computational foundation for applications of autonomous adaptive intelligence in engineering, technology, and AI DESCRIPTION How does your mind work? How does your brain give rise to your mind? These are questions that all of us have wondered about at some point in our lives, if only because everything that we know is experienced in our minds. They are also very hard questions to answer. After all, how can a mind understand itself? How can you understand something as complex as the tool that is being used to understand it? This book provides an introductory and self-contained description of some of the exciting answers to these questions that modern theories of mind and brain have recently proposed. Stephen Grossberg is broadly acknowledged to be the most important pioneer and current research leader who has, for the past 50 years, modelled how brains give rise to minds, notably how neural circuits in multiple brain regions interact together to generate psychological functions. This research has led to a unified understanding of how, where, and why our brains can consciously see, hear, feel, and know about the world, and effectively plan and act within it. The work embodies revolutionary Principia of Mind that clarify how autonomous adaptive intelligence is achieved. It provides mechanistic explanations of multiple mental disorders, including symptoms of Alzheimer's disease, autism, amnesia, and sleep disorders; biological bases of morality and religion, including why our brains are biased towards the good so that values are not purely relative; perplexing aspects of the human condition, including why many decisions are irrational and self-defeating despite evolution's selection of adaptive behaviors; and solutions to large-scale problems in machine learning, technology, and Artificial Intelligence that provide a blueprint for autonomously intelligent algorithms and robots. Because brains embody a universal developmental code, unifying insights also emerge about shared laws that are found in all living cellular tissues, from the most primitive to the most advanced, notably how the laws governing networks of interacting cells support developmental and learning processes in all species. The fundamental brain design principles of complementarity, uncertainty, and resonance that Grossberg has discovered also reflect laws of the physical world with which our brains ceaselessly interact, and which enable our brains to incrementally learn to understand those laws, thereby enabling humans to understand the world scientifically. Accessibly written, and lavishly illustrated, Conscious Mind/Resonant Brain is the magnum opus of one of the most influential scientists of the past 50 years, and will appeal to a broad readership across the sciences and humanities. ADVANCE REVIEWS “A tour de force on How the Brain Works…a masterpiece on brain science and neuro-computing that could only be created by Grossberg.” -- Leon Chua, University of California at Berkeley "Whenever you claim to be "the first to do" this or that in artificial intelligence, it is customary - and correct - to add "with the exception of Stephen Grossberg". Quite simply, Stephen is a living giant and foundational architect of the field." -- Karl J. Friston, University College London "This is a breath-taking book authored by a giant pioneer of the brain and mind." -- Shun-Ichi Amari, RIKEN Brain Science Institute "Professor Grossberg is a rara avis. In an age of increasing specialization, he has a remarkable, unparalleled, gift of seeing connections between seemingly unrelated ideas. And he writes about these with passion, but without compromising accuracy." -- V. S. Ramachandran, University of California San Diego "Stephen Grossberg is a true genius, who has discovered and developed many of the most important concepts and theories about how our brains make our minds. His fundamental contributions to science for over 50 years are richly worthy of a Nobel Prize." -- Leonid Perlovsky, Harvard University "Stephen Grossberg is a "big picture" thinker who has had a remarkably deep influence on many aspects of several fields. It's difficult to overstate the range of his vision and the depth of his thinking, and I expect this book to be required reading in many courses for years to come." -- Stephen Kosslyn, Foundry College “After reading many papers by the author, I always wished that he would present them in a coherent whole. And here it is. A magnificent volume of great science from mind to brain and back, a condensed ars poetica of a great scientist.” -- György Buzsáki, New York University "The current volume charts the remarkable developments that have led Dr. Grossberg to a principled, unified theory of the link between brain and mind. Dr. Grossberg's insights are unparalleled in their breadth and detail, leading us to a scientific understanding of the most remarkable aspect of the mind, consciousness." -- Michael Mozer, Google Brain, Mountain View, CA “Stephen Grossberg is one of the most original and influential theorists in contemporary cognitive science and computational neuroscience. In Conscious MIND Resonant BRAIN, he takes the reader on an eye-opening tour in which he addresses fundamental problems of mind and brain from his unique theoretical perspective. This is an important book that should be of interest to anyone who wonders how a brain can give rise to a mind. -- Daniel L. Schacter, Harvard University “In this book Stephen Grossberg shares the wisdom and encyclopedic knowledge that he acquired over 50 years of research devoted to unravel the mysteries of the human brain. Stephen pioneered the field of theoretical neuroscience and this approach allowed him to discover general principles that govern functions as diverse as visual perception, learning and memory, attention, emotion, decision making and consciousness. It is the essence of overarching principles to be abstract and to sometimes defy intuition, but Stephen succeeds to convey the essential in a language that is readily accessible to the non- expert. He embeds the discussion of neuronal mechanisms in the rich framework of cognitive psychology and elegantly bridges the gap between scientific evidence and subjective experience. He takes the readers by the hand and lets them discover the often surprising philosophical, ethical and societal implications of neurobiological discoveries. For those who enjoy intellectual adventures and wish to explore the boundaries of the known this scholarly written book is a real treasure.” -- Wolf Singer, Max Plank Institute for Brain Research, Frankfurt "Although a behavioral modeler and not a neuroscientist, I have followed Stephen Grossberg's research closely for many years, because I regard him as one of the very most creative and insightful neuroscience theorists that the field has seen. His book should be a must read for those wanting to understand how the brain produces mind." -- Richard Shiffrin, Indiana University "How often do we have the chance to hold a true masterpiece? Grossberg's monumental accomplishments developed over multiple decades now written at an accessible level to a broader audience. What a true privilege!" -- Luis Pessoa, University of Maryland “Steve Grossberg is one of the most insightful and prolific writers on biological intelligence. This book is a masterful presentation of fundamental methods of modeling minds, brains and their interactions with the world, many of which are due to the author and his collaborators. The models are presented as mathematical systems, including computing and neural networks. The variables, parameters and functions represent biological and environmental concepts; mathematical conclusions are interpreted as predictions of biological behavior. In many cases these have been verified experimentally. There are illuminating and surprising connections to other disciplines, including art, music and economics. Highly recommended to a general audience.” -- Morris W. Hirsch, University of California at Berkeley "This comprehensive overview of Grossberg’s contributions to our understanding of the mind and brain shows exactly how prescient he, and his colleagues, have been. Whatever one’s specific interest, from visual illusions to mental illness, this book provides a principled treatment of it. The principles flow from Grossberg’s early framing of many of the questions that have come to define computational neuroscience – including his early understanding of the centrality of expectations. Kudos to him for pulling it all together here." -- Lynn Nadel, University of Arizona “This book is not for the faint of heart. Stephen Grossberg has been a giant in the field of computational neuroscience for 60 years. In this book he presents his carefully developed, integrative neurobiological theory on how the nervous system generates our conscious lives. It is bold yet self-reflective and therein challenging to all students trying to figure out how the brain does its tricks. A must read.” -- Michael Gazzaniga, University of California at Santa Barbara "Conscious Mind, Resonant Brain is the magnum opus of one of the giants of neural networks. The soaring ambition of this book reflects the career achievements of Grossberg's insatiable appetite for understanding how brains work. It is a must-read for those interested in all aspects of how the mind and brain function in health and disease." -- Donald C. Wunsch II, Missouri University of Science and Technology "Grossberg has single-handedly elevated the psychophysics and psychology pioneered by Herman von Helmholtz and William James into a comprehensive mathematical theory of brain and behavior with profound implications and strong empirical support." -- David Hestenes, Arizona State University “An excellent and wide-ranging view of how the brain perceives the world for us by a pioneering brain theoretician.” -- Wolfram Schultz, University of Cambridge

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Three fully-funded PhD position at the Vision Institute, Sorbonne University, Paris, France
by angelo.arleo＠inserm.fr 02 Apr '21

02 Apr '21

Dear all, The following three PhD positions are currently available at the Vision Institute, Sorbonne University, Paris, France: 1. PhD position in Computational Neuroscience and Deep Learning <http://www.aging-vision-action.fr/ava_files/silversight/PhD.Comput.Neurosci…> 2. PhD position in Behavioral Neuroscience <http://www.aging-vision-action.fr/ava_files/silversight/PhD.Behav.Neurosci.…> 3. PhD position in Experimental/Clinical Neuroscience <http://www.aging-vision-action.fr/ava_files/silversight/PhD.Exp.Clin.Neuros…> Best regards, Angelo Arleo Angelo ARLEO FONTAINE, PhD Director of Research CNRS Head of the Aging in Vision and Action Lab, Director of the Chair Silversight, Institute of Vision, CNRS - INSERM - Sorbonne University, 17, rue Moreau F-75012 Paris, France Phone: +33 (0)1 53 46 26 52 Mobile: +33 (0)6 46 84 09 56 Email: angelo.arleo(a)inserm.fr Website: www.aging-vision-action.fr

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NIH-funded part-time postdoc or software developer position in computational neuroscience
by Salvador Dura 02 Apr '21

02 Apr '21

A part-time Postdoc or Software Developer position is available in the Dura-Bernal Lab<http://dura-bernal.org/> at the State University of New York (SUNY) Downstate Health Sciences (Brooklyn, New York). The position will focus on the development and dissemination of NetPyNE, a tool for data-driven multiscale modeling of brain circuits. For more details on the software tool see our eLife publication (https://elifesciences.org/articles/44494) and tool website (www.netpyne.org<http://www.netpyne.org/>). For details please see: http://dura-bernal.org/postdoc -- Salvador Durá-Bernal, Ph.D. Assistant Professor, State University of New York Downstate Medical Center Research Scientist IV, Nathan Kline Institute for Psychiatric Research Lab web: dura-bernal.org<http://dura-bernal.org/>

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Job Openings: Professor / Associate Professor / Assistant Professor (Computer Science) at Hong Kong Baptist University (2 vacancies)
by COMP HKBU 01 Apr '21

01 Apr '21

The Department of Computer Science at Hong Kong Baptist University, presently offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following faculty positions on tenure-track. Professor / Associate Professor / Assistant Professor (Computer Science) (2 vacancies) (PR0311/18-19) The appointees will perform high-impact research, to teach and supervise students at undergraduate and postgraduate levels, and to contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. They will be encouraged to collaborate with colleagues within the Department to contribute to two special thematic applications including (a) health informatics and (b) secure and privacy-aware computing, and to pursue new strategic research initiatives under the Department/Faculty/University. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in areas including but not limited to: Internet of things, Cyber-security, High-performance computing, Big data analytics, and Financial technologies. Applicants should also show strong commitment to undergraduate and postgraduate teaching in computer science and/or information systems, possess track record of innovative research and high-impact publications, and be able to bid for and pursue externally-funded research programmes. Initial appointment will be offered on a fixed-term contract of three years. Re-appointment thereafter will be subject to mutual agreement. For enquiry, please contact Dr. William Cheung, Head of Department (email: william(a)comp.hkbu.edu.hk) More information about the Department can be found at http://www.comp.hkbu.edu.hk. *Those who have responded to the previous advertisement need not re-apply.* *Rank and salary will be commensurate with qualifications and experience.* Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably *three best ones* out of their most recent publications/works. They should also request *two referees* to send in confidential letters of reference, with PR number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is on-going until the position is filled. URL: https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=503

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