- Comp-neuro - lists.cnsorg.org

Computational Neuroscience Postdoc Positions

by Neymotin, Samuel (NKI)

Postdoctoral scientist positions are available at the Nathan Kline Institute (NKI) for Psychiatric Research (https://www.nki.rfmh.org<https://www.nki.rfmh.org/>) to work on computational neuroscience research funded by recently awarded NIH and DoD grants. Our NIH-funded projects investigate the brain's dynamic circuit motifs underlying internal vs. external-oriented processes in the auditory and interconnected areas, using circuit modeling of the thalamocortical system. In this project, the postdoc will build data-driven biophysical models constrained by data collected from electrophysiology labs at NKI and Columbia (Noelle O’Connell, Charlie Schroeder, Dan Javitt) & The Feinstein Institutes for Medical Research (Stephan Bickel), and then use the models to predict optimal neuromodulation strategies for inducing/suppressing circuit patterns, testable in vivo. Related projects include investigating the origin of electrophysiology patterns observed in the auditory system of animal models of schizophrenia (biomarkers including mismatch negativity and altered oscillatory patterns), and using modeling to predict their circuit-level origins and potential treatments. Recent related publications (https://www.biorxiv.org/content/10.1101/2022.02.03.479036v2.abstract , https://www.eneuro.org/content/9/4/ENEURO.0281-21.2022.abstract , https://www.sciencedirect.com/science/article/pii/S0006322319318517) Our DoD project involves developing computational models of the hippocampal and entorhinal cortex circuitry used in spatial navigation, higher level decision making circuits, and integrating the models with agents learning to solve navigation tasks using neurobiologically-inspired learning rules. This project includes mathematicians and robotics researchers at UTK and CMU. Recent related publications (https://www.frontiersin.org/articles/10.3389/fncom.2022.1017284/full , https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0265808) Applicants should have a strong background in: multiscale modeling using NEURON/NetPyNE, Python software development, neural/electrophysiology data analysis, machine learning, and writing/presenting research. To apply, email a CV and cover letter to Sam Neymotin (samnemo(a)gmail.com) The position requires presence at NKI (New York), with part telecommuting. ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

July 19, 2023

CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023

by Fabian Braesemann

12 th International Conference on Complex Networks & Their Applications Menton Riviera<https://www.menton-riviera-merveilles.co.uk/>, France November 28 - 30, 2023 COMPLEX NETWORKS 2023<https://complexnetworks.org/> You are cordially invited to submit your contribution until September 02, 2023. SPEAKERS ● Michael Bronstein<https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK ● Kathleen Carley<https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie Mellon University USA ● Manlio De Domenico<https://manliodedomenico.com/> University of Padua Italy ● Danai Koutra<http://web.eecs.umich.edu/~dkoutra/> University of Michigan USA ● Romualdo Pastor-Satorras<http://www.fen.upc.edu/~romu/> Univ. Politècnica de Catalunya Spain ● Tao Zhou<https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China TUTORIALS ● Tiago de Paula Peixoto<https://skewed.de/tiago> CEU Vienna Austria ● Maria Liakata<https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary University of London UK PUBLICATION Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ● Papers will be included in the conference proceedings edited by Springer ● Extended abstracts will be published in the Book of Abstracts (with ISBN) Extended versions will be invited for publication in special issues of international journals: o Applied Network Science<https://appliednetsci.springeropen.com/> edited by Springer o Advances in Complex Systems<https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems <https://www.complex-systems.com/about/> o Entropy<https://www.mdpi.com/journal/entropy> edited by MDPI o PLOS one<https://journals.plos.org/plosone/> o Social Network Analysis and Mining<https://link.springer.com/journal/13278> edited by Springer SUBMISSION https://complexnetworks.org/submission/ TOPICS Topics include, but are not limited to: * Models of Complex Networks * Structural Network Properties and Analysis * Epidemics * Community Structure * Motifs * Network Mining * Network embedding * Machine learning with graphs * Dynamics and Evolution Patterns of Complex Networks * Link Prediction * Multilayer Networks * Controllability * Synchronization * Visual Representation * Large-scale Graph Analytics * Social Reputation, Influence, and Trust * Information Spreading in Social Media * Rumour and Viral Marketing in Social Networks * Recommendation Systems * Financial and Economic Networks * Mobility * Biological and Technological Networks * Mobile call Networks * Bioinformatics * Earth Sciences Applications * Resilience and Robustness of Complex Networks * Networks for Physical Infrastructures * Networks, Smart Cities and Smart Grids * Political networks * Supply chain networks * Complex networks and information systems * Complex networks and CPS/IoT * Graph signal processing * Cognitive Network Science * Network Medicine * Network Neuroscience * Quantifying success through network analysis * Temporal and spatial networks * Historical Networks * Graph-Based Natural Language Processing GENERAL CHAIRS Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) --- Dr Fabian Braesemann Departmental Research Lecturer in AI & Work Oxford Internet Institute University of Oxford Publicity Co-Chair 12th International Conference on Complex Networks & Their Applications 28 - 30 November, 2023, French Riviera, France fabian.braesemann(a)oii.ox.ac.uk<mailto:fabian.braesemann@oii.ox.ac.uk> +44 7731 700 704 Google Scholar<https://scholar.google.at/citations?user=L2AXGNwAAAAJ&hl=en> | LinkedIn<https://uk.linkedin.com/in/fabian-braesemann-210645138> Oxford Internet Institute University of Oxford 1 St Giles Oxford, OX1 3JS

July 19, 2023

1st CFP IV Latin American Workshop on Computational Neuroscience (LAWCN 2023) - Institution University of Envigado, Colombia - 28 - 30 Nov 2023

by Jaime Andres Riascos Salas

CALL FOR PAPERS Paper Submission Deadline: August 1, 2023 IV LATIN AMERICAN WORKSHOP ON COMPUTATIONAL NEUROSCIENCE (LAWCN) November 28-30, 2023 Institution University of Envigado, Envigado, Colombia. www.lawcn.co Contact: lawcn(a)iue.edu.co Overview The IV Latin-American Workshop on Computational Neuroscience (LAWCN 2023) provides an international forum to bring students, academic researchers, and professionals from diverse backgrounds to present cutting-edge research on four major topics: Computational Neuroscience, Neuroscience, Neuroengineering, and Artificial Intelligence. Since the first edition, LAWCN has contributed to revealing knowledge about the brain in an enthusiastic atmosphere for sharing ideas, creating networks, and fostering collaboration among Latin countries and the world. The current edition is organized by the research group "Grupo de Investigación Tecnologías Emergentes Sostenibles e Inteligentes GITESI" from the Engineering Faculty of the Institution University of Envigado (IUE), in collaboration with the Colegio Colombiano de Neurociencias (COLNE), the most representative association of neuroscience researchers and students in Colombia. The workshop will take place in the city of Envigado (Antioquia - Colombia) from November 28 to 30, 2023. This is the first LAWCN edition outside of Brazil, expanding its presence to Latin America, seeking for enhancing the collaboration network among the countries of our region but keeping the worldwide approach. Envigado is in the Metropolitan Area of the Aburrá Valley, close to Medellín, the second-largest city in Colombia, and the capital of the department of Antioquia. Envigado is known for maintaining the traditions of the Paisa Region and for its architecture. It also has one of the highest standards of living in Colombia. Also, Envigado was recognized recently as one of the UNESCO Global Network of Learning Cities (UNESCO GNLC). In keeping with the tradition of the previous edition of this meeting, the IV LAWCN has four main topics: A- Computational Neuroscience B- Neuroscience C- Neuroengineering D- Artificial intelligence and related topics. See the full list of topics at https://www.lawcn.co/event/submissions.html. Prospective authors are invited to contribute to the conference by electronically submitting papers in English, Portuguese, or Spanish, according to the model found on the event website. Best papers that are related to Computer Science will be published as a book volume in Springer-Verlag Communications in Computer and Information Science (CCIS; ISSN 1865-0929) series. Also, authors can submit their papers for the Special Issue "Interdisciplinary Approaches for Human Cognition: Expanding Perspectives on the Mind" to be published in the International Journal in Psychological Research (IJPR; https://revistas.usb.edu.co/index.php/IJPR/index ISSN 2011-7922). Papers will be evaluated based on the quality and significance of the theoretical and practical contributions. The Workshop will consist mainly of the following activities. * A presentation of up to 8 key researchers of international and national renown. * A round table to widely discuss gender diversity in Neuroscience. * Oral presentations of accepted papers by their authors. * Poster session. Conference chairs * Jaime A. Riascos, Institution University of Envigado(IUE), Colombia * Lina Becerra, Colegio Colombiano Neurociencias (COLNE), University del Valle, University Pontificia Javeriana, Colombia Organization * Dante Barone Federal University Rio Grande do Sul (UFRGS), Brazil * Vinicius Cota Federal University São João do Rei (UFSJ), Brazil * Marta Molinas NTNU, Norway * Edwin Moncada Institution University of Envigado, Colombia * Jonier Rendón Institution University of Envigado, Colombia * Efraín Buriticá Universidad del Valle - COLNE * Pablo Reyes Pontificia Universidad Javeriana - Colne * Hernán Villota Institution University of Envigado, Colombia * Daniel Betancourt Institution University of Envigado, Colombia * Catalina Alvarado Pontificia Universidad Javeriana * Paula Herrera Universidad Tecnológica de Pereira Keynote Speakers * Prof. PhD. Norberto García Caraisco (USP, Brazil) * Prof. PhD. Salvador Dura-Bernal (SUNY, USA) * Prof. PhD. Jose Luis Contreras-Vidal (NSF IUCRC BRAIN Center, USA) * Prof. PhD. Fabien Lotte (INRIA, Francia) * Prof. PhD. Jose M. Azorin (Universidad Miguel Hernández de Elche, Spain) * Profa. PhD. Marta Molinas (NTNU, Noruega) * Profa. PhD. Catalina Alvarado (Pontificia Universidad Javeriana, Colombia) * Profa. PhD. Paula Herrera (Universidad Tecnológica de Pereira, Colombia) Roundtable * Lina Becerra, Colegio Colombiano Neurociencias (COLNE), University del Valle, University Pontificia Javeriana, Colombia Important dates. Paper submission deadline: August 1st, 2023 Notification of acceptance (paper): September 30, 2023 Camera-ready (paper): October 31, 2023, Abstract submission deadline: September 1st, 2023 Notification of acceptance (abstract): September 30, 2023 Camera-ready (abstract): October 31, 2023. Workshop: November 28-30, 2023 (IUE, Envigado, Colombia) More Information: www.lawcn.co Best regards and see you in Envigado, Colombia!!! -- Jaime A. Riascos Salas Assistant professor - IUE

July 18, 2023

Ph.D. position in Theoretical and Applied Neuroscience - Deadline 4th of August.

by Russo, Eleonora

One Ph.D. position available within the National Ph.D. Program in “Theoretical and Applied Neuroscience”. The Ph.D. will be held in the Brain Dynamics Lab<https://www.santannapisa.it/en/institute/biorobotics/brain-dynamics-laborat…> at the Biorobotics<https://www.santannapisa.it/en/institute/biorobotics> Institute of Sant'Anna School of Advanced Studies, Pisa (Italy). Information about the call can be found here<https://www.unicam.it/bandi/2023/bando-47966-del-5-luglio-2023>. The deadline for applying to the position is the 4th of August. The project description can be found here<https://www.unicam.it/sites/default/files/bandi/2023/07/All1-Topic%20list_P…> under ‘Code 4.5’. Project title: Functional modeling of brain dynamics: investigation of cognitive functions through the lens of dynamical systems. Keywords: neural coding, neuronal manifolds, modeling, dynamical system reconstruction, RNN, statistical mechanics Host Institution: Sant'Anna School of Advanced Studies, BioRobotics Institute Reference person/supervisor: Russo Eleonora; eleonora.russo(a)santannapisa.it Research topic description: Understanding the dynamical system governing neuronal activity is crucial for unraveling how the brain performs cognitive functions. Historically, various forms of recurrent neural networks (RNNs) have been suggested as simplified models of the cortex. Recently, owing to remarkable advancements in the field of machine learning, RNNs' inherent ability to capture temporal dependencies has been leveraged to develop tools for approximating unknown dynamical systems directly by training on observed time-series data. Concurrently, improvements in electrophysiological recording techniques have enabled the simultaneous recording of hundreds of neurons in animals performing complex behavioral tasks. These parallel developments present a unique opportunity to characterize comprehensively population dynamics and parametrize the neuronal manifold, thereby constructing functional models of cognitive functions. The objective of this research project is to further refine RNN-based algorithms, tailoring them to investigate neuronal dynamics, and applying them to experimental data. Research team and environment The Ph.D. student will carry out his/her studies at the BioRobotics Institute of Sant'Anna School of Advanced Studies. The project will expose the student to a highly interdisciplinary context, in tight collaboration with theoretical and experimental neuroscientists. At the BioRobotics Institute, the research groups involved will be the Brain Dynamics Lab, the Computational Neuroengineering Lab, and the Bioelectronics and Bioengineering Area. During the second year of the Ph.D., the student might be able to spend a period abroad. Preferred Research Skills and Competences The ideal candidate has computational and programming skills (ideally, knowledge of Matlab and/or Python), a strong interest in neuroscience, and a background in physics/math/biomedical engineering. The ideal candidate must also be able to carry out his/her work in a diligent, independent, and highly collaborative manner. Best wishes, Eleonora --------------------------------------------------------------------------------------------------------------------- Eleonora Russo, Ph.D. Assistant Professor at Sant’Anna School of Advanced Studies, The BioRobotics Institute, P.za Martiri della Liberta', 33 56127 Pisa, Italy

July 17, 2023

Multiple PhD positions in Cognitive Neuroscience at SISSA - application deadline 28 August

by Alessandro Treves

Up to 5 PhD positions in Cognitive Neuroscience are available at SISSA, Trieste, starting October 2023. SISSA is an elite postgraduate research institution for Maths, Physics and Neuroscience, located in Trieste, Italy. SISSA operates in English, and its faculty and student community is diverse and strongly international. The Cognitive Neuroscience Department (https://phdcns.sissa.it/) hosts 7 research labs that study the neuronal bases of time and magnitude processing, visual perception, motivation and intelligence, language and reading, tactile perception and learning, and neural computation. The Department is highly interdisciplinary; our approaches include behavioural, psychophysics, and neurophysiological experiments with humans and animals, as well as computational, statistical and mathematical models. Students from a broad range of backgrounds (physics, maths, medicine, psychology, biology) are encouraged to apply. The selection procedure is now open. The application deadline is 28 August 2023. To learn how to apply, please visit https://phdcns.sissa.it/admission-procedure . Please contact the PhD Coordinator Mathew Diamond (diamond(a)sissa.it) and/or your prospective supervisor for more information and informal inquiries. Best wishes, Eugenio Piasini -- Eugenio Piasini International School for Advanced Studies (SISSA) Via Bonomea 265, 34136 Trieste - Italy https://people.sissa.it/~epiasini

July 17, 2023

Hybrid Workshop "Cortical Prostheses - Interdisciplinary Research Towards Artificial Vision for the Blind" (September 19-22, 2023)

by David Rotermund

We would like to invite you to participate in our excellence workshop *‘Cortical Prostheses – Interdisciplinary Research Towards Artificial Vision for the Blind’*. It will take place *September 19-22, 2023 at the Hanse-Wissenschaftskolleg in Delmenhorst (near Bremen, Germany)*. As you might know quite well from your own experience, it is a huge problem to interface with the brain and to successfully introduce artificial, meaningful signals into on-going neural information processing. On the other hand, exciting possibilities in medical and fundamental research are waiting to be explored and to be realized. In particular, it becomes more and more obvious that making communication with the brain more efficient requires a much more profound understanding about 'normal' visual information processing in healthy subjects. This workshop will address major topics and challenges in this field: ** Advances in neurotechnology** *** Advances in the understanding of visual information processing** *** Novel methods for combining theory and technology* Our workshop will bring together experimentalists, technologists, medical scientists, and theoreticians who are the experts in getting meaningful signals into neuronal circuits actively engaged in information processing. Speakers include *Diego Ghezzi, Pieter Roelfsema, Eduardo Fernandez Jover, Bogdan Raducanu, Arto V. Nurmikko, Umut Guclu, Christopher Pack, Michael Herzog, Avi Caspi, Shelley I. Fried, Udo Ernst, Fabian Sinz, Carlos Ponce, Theo Doll, Ione Fine, Daniel Yoshor, Michael Beyeler, Björn Lüssem, Schander Andreas, Michael Schmid, and Dirk Jancke.** *** There are two options for attending the workshop: *a.) On-site at the Hanse-Wissenschaftskolleg in Delmenhorst (limited number of available slots)*, allowing for in-depth discussions and presentation of your own work in a poster session. The registration fee is 100 Euros and covers participation and catering during the workshop. The deadline for registering for on-site participation is the Sunday, July 23rd. The registration is a two step process: You inform us that you are interested in registering via the webform on https://www.uni-bremen.de/i-see/hwk-workshop or via an email to ajanssen(a)neuro.uni-bremen.de. You will then be contacted by the HWK for finalizing the registration process. b.) *Via Zoom at no cost*. You also need to register via the webform on https://www.uni-bremen.de/i-see/hwk-workshop, and we will send you your access code shortly before the start of the workshop. For more details and information how register please visit: https://www.uni-bremen.de/i-see/hwk-workshop Please feel free to forward the following information to anyone in or outside of your group who you think may be interested in attending our workshop. -- *Dr. David Rotermund* *University of Bremen* Institute for Theoretical Physics Faculty 01 Physics/Electrical Engineering Hochschulring 18, D-28359 Bremen Cognium, room 2450 Tel. +49 421 218-62003 Fax +49 421 218-62014 davrot(a)neuro.uni-bremen.de www.neuro.uni-bremen.de <https://www.neuro.uni-bremen.de> www.isee.uni-bremen.de <https://www.isee.uni-bremen.de>

July 14, 2023

Faculty position at Cold Spring Harbor Laboratory in computational neuroscience

by Benjamin Cowley

Hi all, Cold Spring Harbor Laboratory has an open search for a faculty position in computational/neuroAI/theoretical neuroscience. Application deadline is Sept 1., 2023 (but the earlier the better!). https://www.cshl.edu/about-us/careers/faculty-positions/ CSHL is rather different from traditional research universities --- it's a highly interactive community with a pure focus on research (no teaching requirements). Please reach out if you have any questions! Job description below. Best, Ben Cowley Cold Spring Harbor Laboratory (CSHL) is seeking to fill a faculty position in the area of Computational/Theoretical Neuroscience. Of particular interest to this search are candidates with expertise in computational and theoretical neuroscience, machine learning, and artificial intelligence. The successful candidate will have an outstanding record of research achievement and an innovative research program. They will join a highly interactive and collaborative neuroscience group working on neural circuits, neural development, neurogenetics, theoretical and computational neuroscience, artificial intelligence, synaptic function, brain disorders, rodent cognition, perception, and social behavior. Preference will be given to applicants at the Assistant Professor level, but outstanding candidates at all career stages will be considered. Cold Spring Harbor Laboratory is a world-renowned research and educational institution with programs in cancer, neuroscience, plant biology, genomics, and quantitative biology. Located on the North Shore of Long Island 30 miles from New York City, the Laboratory has a rich and successful research environment rooted in interdisciplinary collaboration as well as an innovative graduate school that attracts talented students each year. CSHL is committed to fostering a diverse work environment that values best practices in mentorship, equity, and inclusion. Successful candidates will be expected to establish productive research programs while mentoring diverse groups of students and postdocs. Applications are strongly encouraged from groups historically underrepresented in science, including women and U.S. racial/ethnic minority populations. To apply, please submit a cover letter, CV, description of research accomplishments, statement of future research plans, statement of diversity and mentoring, and a completed application form via: https://apply.interfolio.com/127947 Position ID 119074. The statement of diversity and mentoring should describe a candidate’s mentoring philosophy, contributions to equity and inclusion in science, and prior training (as applicable) in mentoring, academic management/leadership, and antidiscrimination/antiracism. Contact information only for three references will be required; the reference letters will be requested separately by CSHL. We will consider applications on a rolling basis beginning July 10, 2023, and deadline for applications is September 1, 2023. Inquiries regarding the search should be directed to: CSHLfacultyjobs(a)cshl.edu

July 14, 2023

Workshop at CNS2023: Neuroscience Gateway Enabling Neuroscience Software Dissemination and Large-Scale Neuronal Modeling and Data Processing on Supercomputers

by Majumdar, Amitava

Please join us at the workshop titled: "Neuroscience Gateway Enabling Neuroscience Software Dissemination and Large-Scale Neuronal Modeling and Data Processing on Supercomputers " at CNS 2023, on July 19th, 2023, in Leipzig, Germany. Speakers include neuroscientists who are using the Neuroscience Gateway as well as Software developers whose software is disseminated via the Neuroscience Gateway. Detailed description of the workshop with list of speakers, title and abstract of the talks are available here: https://www.nsgportal.org/CNS2023NSGWorkshopWebPage.htm Best regards. Workshop Organizers Amit Majumdar, Subha Sivagnanam, Kenneth Yoshimoto, San Diego Supercomputer Center, University of California San Diego Ted Carnevale, Yale University

July 14, 2023

Professorship (W3) for “Computational Cognitive Science” at Technical University of Darmstadt, Center for Artificial Intelligence & Centre for Cognitive Science

by Constantin Rothkopf

The Department of Human Sciences at the Technical University of Darmstadt invites applications for the position of a Professorship (W3) for “Computational Cognitive Science” starting as soon as possible. The position holder will be a member of the Hessian Center for Artificial Intelligence - hessian.AI ( https://hessian.ai/) and provides research at the Center and will also be a member of the Centre for Cognitive Science ( https://www.cogsci.tu-darmstadt.de/) We are looking for an outstanding scientist who will represent the topic area of Computational Cognitive Science in research and teaching. The scientific focus of the position is on the computational and algorithmic modeling of behavioral data to understand the human mind. Exemplary research topics include, but are not limited to: + computational level models of perception, cognition, decision making, action, and learning as well as extended behavior and social interactions in humans, + algorithmic models that are able to simulate, predict, and explain human behavior, + model-driven behavioral research on human cognition. Successful candidates should demonstrate an outstanding scientific profile, with high-impact research contributions in the area of computational modeling of human behavior. A research profile that is able to interact with current developments in machine learning and artificial intelligence is desired. Candidates are expected to teach these topics in our undergraduate as well as graduate-level programs in Cognitive Science. Furthermore, a proven track record of successful collaboration in international research teams, with industry, or across research disciplines is a plus. The professorship is expected to strengthen the Hessian Center for Artificial Intelligence and TU Darmstadt’s Human Science department’s research focus on Cognitive Science, which belongs to one of the three distinguished research fields of Technical University of Darmstadt (Information + Intelligence). The current faculty at both the Hessian Center for Artificial Intelligence and the Centre for Cognitive Science maintain numerous vibrant collaborations and are jointly involved in several cluster projects, including “The third Wave of AI” and “The Adaptive Mind”. Depending on the candidate’s profile there is the opportunity to participate in joint research projects currently running at TU Darmstadt. This in particular includes the state funded cluster projects “The Adaptive Mind (TAM)” ( https://www.theadaptivemind.de/) and “The Third Wave of Artificial Intelligence (3AI)” ( https://hessian.ai/projects/3ai-the-third-wave-of-ai/) In addition to excellent scientific credentials, we seek a strong commitment to teaching in the department’s Bachelor and Masters programs in Cognitive Science. Experience in attracting third-party funding as well as participation in academic governance is expected. Technical University of Darmstadt is an autonomous university with broad excellence in research, an interdisciplinary profile, and clear focus areas in engineering sciences and information and communication technology. The professorship is a full professorship on a permanent basis. A prerequisite for applying is that additional academic achievements must be present; in general, the doctorate should be more than three years old at the time of application. The position will be remunerated in line with the German “W-Besoldung” and subject to negotiations between the applicant and the university management in accordance with his/her experience and qualifications. The regulations for employment are specified under §§ 67 and 68 HessHG (Hessisches Hochschulgesetz). Technical University of Darmstadt intends to increase the number of female employees and encourages female candidates to apply. In case of equal qualifications, applicants with a degree of disability of at least 50 or equal will be given preference. Technical University of Darmstadt is certified as a family-friendly university and offers a dual career program. Please submit applications with the usual attachments (CV including research and teaching achievements, list of publications, scans/copies of diplomas) as well as a research and teaching statement, quoting the code number 380, to the Chair of the Department of Human Sciences, Prof. Dr. Josef Wiemeyer (dekanat(a)humanw.tu-darmstadt.de) For further information or questions please contact Prof. Constantin Rothkopf, PhD, email constantin.rothkopf(a)tu-darmstadt.de. By submitting your application, you agree that your data may be stored and processed for the purpose of filling the vacancy. You can find our privacy policy on our webpage. Application deadline: October 1st, 2023.

July 14, 2023

CARLsim 6.1 Spiking Neural Network Simulator Release Introduces Axonal Plasticity

by Jeffrey L Krichmar

Dear Colleagues, We are pleased to announce the 6.1 release of CARLsim. CARLsim is an efficient, easy-to-use, GPU-accelerated library for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail. CARLsim allows execution of networks of Izhikevich spiking neurons with realistic synaptic dynamics on both generic x86 CPUs and standard off-the-shelf GPUs. The simulator provides a PyNN-like programming interface in C/C++, which allows for details and parameters to be specified at the synapse, neuron, and network level. CARLsim, which is in its 6th major iteration, is open-source and publicly available. With the release of CARLsim 6.1, we introduce axonal plasticity to simulate the biological phenomenon of experience dependent plasticity to the conductance velocity of axonal signaling. Axonal plasticity appears to be important for synchronization, skill learning, and many other potential applications. More information about the implementation and an example application can be found in our recent IJCNN paper, "Experience-Dependent Axonal Plasticity in Large-Scale Spiking Neural Network Simulations", which can be found at: https://www.socsci.uci.edu/~jkrichma/CARLsim61-IJCNN2023.pdf CARLsim 6.1 is available on GitHub: https://github.com/UCI-CARL/CARLsim6 Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-…

July 14, 2023