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PhD position Radboud University Donders Institute
by peter.delooff＠ru.nl 26 Apr '23

26 Apr '23

Dear list, Apologies for any cross postings, but we have a PhD position available from a collaboration between the Donders Institute, RadboudUMC and Tilburg University that might be of interest to you. For additional information, please visit: https://werkenbijfivoor.nl/vacatures/details/phd-student-in-digital-phenoty… PhD Student in Digital Phenotyping and implementation with wearables in Forensic Psychiatry We are seeking a highly motivated PhD student to join our interdisciplinary team of researchers in the field of forensic psychiatry and digital phenotyping. The successful candidate will work with the team on developing several stress, sleep, and physical activity algorithms based on data from the Healthy Brain Study (HBS). The HBS is a prospective longitudinal cohort study that utilizes careful digital phenotyping in 1000 healthy participants. HBS combines bio-sampling, neuro-imaging and ecological momentary assessments to carefully assess several physiological, cognitive, affective and behavioural outcomes in both the laboratory and in real life with wearables. The PhD student will work on integrating these algorithms in an existing open source application for wearables in collaboration with patients and staff members from Forensic Psychiatry that will provide tailored, personalized insights and can be implemented in treatment settings. The PhD student will also carefully design several single case experiments to assess the efficacy and value of the open source application in (forensic) psychiatric treatment. This project is a collaboration between Donders Institute Radboud, Tilburg University, Fivoor, and de Borg and will be embedded in the infrastructure of the Donders Institute, providing a unique and stimulating learning environment for young researchers, including a high-profile graduate school and in-house methodological expert courses. All the best,

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Announcement of EITN Fall school in Computational Neuroscience
by DESTEXHE Alain 25 Apr '23

25 Apr '23

Hi All, In the name of the organizers, I'd like to announce the next edition of the EITN Fall School in Computational Neuroscience, in Paris in September 20-29, 2023. This school is intended for PhD students (although we do accept postdocs or Master students occasionally), and is structured in 4 scales of modeling: cellular, network, populations and whole-brain models. Each scale is associated with courses and tutorials on simulation tools such as Neuron, NEST, BRIAN, TVB, etc. The students form 4 groups to work on a modeling project, with the help of tutors. The course ends with the student presentations of the results obtained. This 10-day intensive course selects students on the basis of their excellence and need to follow this training. Students interested should send CV and a motivation letter to eitn(a)services.cnrs.fr (deadline end of June 2023). More details can be found at https://eitn.cnrs.fr/events/eitn-fall-school-2023 Thanks and see (some of) you soon, Alain --------------- EITN Fall School in Computational Neuroscience 2023 Paris, 20-29 September 2023 The EITN Fall School in Computational Neuroscience consists of a 10-day course in theoretical and computational neuroscience, from cellular to whole-brain levels. The course is structured in thematic days with lectures, tutorials, and project work.The course is typically aimed for PhD students, young postdocs, or master students interested to learn more about techniques of computational neuroscience, and the use of various simulation environments for model building. The students will form thematic groups to work on predefined subjects, with the help of tutors.The course will cover cellular models, models of brain signals, circuit models and networks, mean-field models, and whole-brain models. There will be lectures and tutorials associated to these topics. Organizers: Sacha Van Albada (Julich), Albert Gidon (U Berlin), Hermann Cuntz (Ernst Strüngmann Institute, Frankfurt), Alain Destexhe (CNRS), Matteo di Volo (University Lyon 1), Spase Petkoski (Aix-Marseille Univ.), Gorka Zamora-Lopez (Universitat Pompeu Fabra) Why join? 10 days of intensive training in computational neuroscience provided by researchers from all over Europe. A complete program: • Cellular models, and models of brain signals • Circuit models and networks • Mean-field models • Whole-brain models Hands-on learning schedule based on: • Morning classes and tutorials • Group projects in the afternoon • Free time in the evenings to visit Paris How to apply? This training has a limited capacity of 20 students, therefore a selection will be performed by a scientific organizing committee. Applications are open until 30 June 2023. Send your application by email at eitn(a)services.cnrs.fr<mailto:eitn@services.cnrs.fr> → You will receive a confirmation your application has be received within 5 working days (or on the day application period closes (whichever comes the soonest). If not, please consider a technical issue and submit your application again. Contact eitn(a)services.cnrs.fr<mailto:eitn@services.cnrs.fr> for any question or assistance. Selection criteria include: • Working or studying in neuroscience or related • Experience in python programming would help • Priority is given to PhD students as the primary target of this training, although Master students and post-docs are welcome to apply as well Practical information: If selected, registration fee to attend the training is 400€ If selected, you will need to bring your own laptop with a few pre-installed programs. The tuition fee includes lunch, coffee, access to conference facilities and internet connection during the course days (Sunday not included). Location : Institut Supérieur Clorivière, 119 Bd Diderot, 75012 Paris This training is design to be attended in-person in Paris. It will not be recorded nor accessible remotely. Download flyer.pdf<http://eitn.cnrs.fr/wp-content/uploads/2023/04/Flyer.pdf> <http://eitn.cnrs.fr/wp-content/uploads/2023/04/Flyer.pdf> Preliminary list of Faculty and Speakers: Jan Antolik Nicolas Brunel Hermann Cuntz Gustavo Deco Damien Depannemaecker Alain Destexhe Matteo di Volo Gaute Einevoll Albert Gidon Moritz Helias Viktor Jirsa Marja-Leena Linne Jorge Mejias Spase Petkoski Maria Sacha Marcel Stimberg Bartosz Telenczuk Federico Tesler Sacha Van Albada Romain Veltz Gorka Zamora-Lopez <https://eitn.cnrs.fr/events/eitn-fall-school-2023>

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Last Call for nominations for the Valentin Braitenberg Award
by Alexander Lammers 25 Apr '23

25 Apr '23

Last Call for nominations for the Valentin Braitenberg Award ____________ Since 2012, the Bernstein Network Computational Neuroscience awards the Valentin Braitenberg Award every two years, which honors outstanding scientific achievements in the field of computational neuroscience. Following Braitenberg’s scientific tradition, special attention is paid to theoretical studies that reveal the functional significance of brain structures and their neuronal network dynamics. The award ceremony Further information: https://bernstein-network.de/en/network/awards-and-initiatives/valentin-bra… We welcome nominations for the Valentin Braitenberg Award for Computational Neuroscience 2023 until April 30, 2023. The award will be presented at the Bernstein Conference 2023 in Berlin. _____________ Award criteria: The major criterion for the selection of the awardee is the impact of the recipient’s research on the neurosciences. In the spirit of Valentin Braitenberg’s research, special emphasis is given to theoretical studies elucidating the functional implications of brain structures and their neuronal network dynamics. The crucial work should preferentially have been carried out in a European institution. ________________ Nominations: Nominations may be submitted by scientists working in the field of Computational Neuroscience and should include the following documents: * One-page laudation, in which the scientific work of the candidate is honored with regard to the award’s criteria * CV and list of publications Please send the nomination documents via e-mail to Dr. Alexandra Stein, a.stein(a)fz-juelich.de<mailto:a.stein@fz-juelich.de>, (Head of Bernstein Coordination Site). _________________ Former award winners: * Eve Marder * Wulfram Gerstner * David Willshaw * Alexander Borst * Moshe Abeles Dr. Alexander Lammers Press and Public Relations Bernstein Network Computational Neuroscience Bernstein Coordination Site Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9a | 79104 Freiburg | Germany Phone: +49 761 203-96787 Mail: a.lammers(a)fz-juelich.de<mailto:a.lammers@fz-juelich.de> Web: www.bernstein-network.de<http://www.bernstein-network.de> LinkedIn: Bernstein Network Computational Neuroscience Twitter: BernsteinNeuro Mastodon: BernsteinNetwork(a)mastodon.world<mailto:BernsteinNetwork@mastodon.world> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Multiple Openings for Post-Doc, Research Assistant and PhD student in Neuromorphic, In-memory computing IC design using SRAM/RRAM
by Prof. Arindam BASU 23 Apr '23

23 Apr '23

Multiple Openings for Post-Doc, Research Assistant and PhD student in Neuromorphic, In-memory computing IC design using SRAM/RRAM (application to LSTM/SNN for Keyword spotting) There are multiple openings for Post-doc, Research Assistant and PhD students for a new project on In-memory Computing in the group of Professor Arindam Basu, Department of Electrical Engineering, City University of Hong Kong. The focus of the project will be on in-memory computing implementations of neuromorphic algorithms for the application of LSTM/SNN for Keyword spotting using SRAM with extension to RRAM. In particular, novel In-memory ADC for nonlinear functions will be designed to push the state of the art. The candidate should have experience in doing analog/mixed-signal IC design with preference for experience in memory design. For Post-doctoral positions, experience with IC tapeout and measurement is a must. The maximum monthly salary allowance is HK$20,000 for research talents with a bachelor degree, HK$23,000 for those with a master degree, and HK$35,000(+10,000$ living allowance) for those with a doctoral degree. https://www.itf.gov.hk/en/funding-programmes/nurturing-talent/research-tale… Exceptional candidates can also be involved in other In-memory computing systems for the following applications: (1) Signal processing and compression in Brain-machine interfaces (2) Processing event-based video from Dynamic Vision Sensors in Autonomous driving. Candidates will get an opportunity to work on cutting-edge research with recent papers from the group published in top conferences like A-SSCC 2021, CICC 2022 and top journals like JSSC. Examples of recent work from our group in this direction: >> S. K. Bose, D. Singla and A. Basu, "A 51.3 TOPS/W, 134.4 GOPS In-memory Binary Image Filtering in 65nm CMOS" IEEE Journal of Solid-State Circuits (JSSC), 2021. >> S. K. Bose and A. Basu, "A 389 TOPS/W, always ON Region Proposal Integrated Circuit using In-Memory Computing in 65nm CMOS," IEEE Journal of Solid-State Circuits (JSSC), 2022. >> X. Zhang and A. Basu, "A 915-1220 TOPS/W, 976-1301 GOPS Hybrid In-Memory Computing Based Always-On Image Processing for Neuromorphic Vision Sensors" Journal of Solid-State Circuits (JSSC), vol. 58, no. 3, 2023. >> S. K. Bose and A. Basu, "A 389 TOPS/W, 1262fps at 1Meps Region Proposal Integrated Circuit for Neuromorphic Vision Sensors in 65nm CMOS" IEEE Asian Solid-State Circuits Conference (A-SSCC), Busan, South Korea, 2021. >> X. Zhang and A. Basu, "A 915-1220 TOPS/W Hybrid In-Memory Computing based Image Restoration and Region Proposal Integrated Circuit for Neuromorphic Vision Sensors in 65nm CMOS," IEEE Custom Integrated Circuits Conference (CICC), 2022. >> A. Basu, L. Deng, C. Frenkel and X. Zhang, "Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions," IEEE Custom Integrated Circuits Conference (CICC), 2022. Interested candidates should send their CV to arinbasu(a)cityu.edu.hk<mailto:arinbasu@cityu.edu.hk> with details about their academic record as well as IC design experience. Shortlisted candidates will be interviewed. Applications are welcome year-round until the positions are filled. Thank you and look forward to working with you! Prof. Arindam Basu Department of EE City University of Hong Kong (More information about the PI and the lab can be found here: https://www.cityu.edu.hk/stfprofile/arinbasu.htm https://scholar.google.com/citations?user=Ton5pYMAAAAJ&hl=en https://sites.google.com/view/brainsyslab/home ) Regards, Arindam Basu Professor, Dept. of EE, City University of Hong Kong, Associate Editor: IEEE Trans. BioCAS, IEEE Sensors, Frontiers in Neuroscience Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited.

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Making the odorant world intelligible - How its semantics can be characterized
by Aurel A. Lazar 22 Apr '23

22 Apr '23

The paper listed below models for the first time the identity of an odorant object as semantic information and the onset/offset timing events as semantic timing. The Functional Logic of Odor Information Processing in the Drosophila Antennal Lobe Aurel A. Lazar, Tingkai Liu, Chung-Heng Yeh, PLoS Comput Biol 19(4): e1011043. https://doi.org/10.1371/journal.pcbi.1011043 <https://doi.org/10.1371/journal.pcbi.1011043> Author summary A major challenge in the study of the Drosophila early olfactory sensory system is to determine how an odorant object (the smell of a rose) is reliably identified in the face of fluctuations of the concentration amplitude of the molecules within the odorant plume. More fundamentally, the question arises how semantic information, often associated with subjective perception, can be characterized. To address this challenge, we leveraged the unique combinatorial odorant code of Drosophila and presented a formal treatment of the identity of an odorant object as its semantic information (or semantics for short). Grounded in the physiology of the fly brain, we identified the functional roles played by Local Neurons in the fruit fly Antennal Lobe in the recovery of the semantics and the onset/offset timing information (or semantic timing). Our model of the Antennal Lobe circuit is built with a highly versatile canonical model of neural computation - the differential Divisive Normalization Processor. Aurel http://www.bionet.ee.columbia.edu <http://www.bionet.ee.columbia.edu/>

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Last Call for Satellite Workshop Proposals, Bernstein Conference 2023 in Berlin
by Alexander Lammers 20 Apr '23

20 Apr '23

Last Call for Satellite Workshop Proposals, Bernstein Conference 2023 in Berlin +++ The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops preceding the Bernstein Conference 2023 in Berlin. +++ ____ BERNSTEIN CONFERENCE Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de<http://www.bernstein-conference.de> ____ IMPORTANT DATES - Satellite Workshops: September 26 - 27, 2023 o Tuesday, Sep 26, 14:00 – 18:00 CEST o Wednesday, Sep 27, 8:30 – 12:30 CEST - Main Conference: September 27 – September 29, 2023 - Deadline for Satellite Workshop proposal submission: Wednesday, April 26 at 15:00 CEST, and will NOT be extended - Notification of workshop acceptance: planned in mid May 2023 Find further information here: https://bernstein-network.de/bernstein-conference/call-for-satellite-worksh… ____ FINANCIAL SUPPORT Workshop registration is free for all organizers and speakers of workshops. Workshop organizers will additionally receive a waiver for the main conference fee. From the accepted workshops up to ten workshops will be selected to receive financial support of up to 1500 € each. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> -- Dr. Alexander Lammers Press and Public Relations Bernstein Network Computational Neuroscience Bernstein Coordination Site Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9a | 79104 Freiburg | Germany Phone: +49 761 203-96787 Mail: a.lammers(a)fz-juelich.de<mailto:a.lammers@fz-juelich.de> Web: www.bernstein-network.de<http://www.bernstein-network.de> LinkedIn: Bernstein Network Computational Neuroscience Twitter: BernsteinNeuro Mastodon: BernsteinNetwork(a)mastodon.world<mailto:BernsteinNetwork@mastodon.world> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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REMINDER: Call for contribution and registration to the Systems Vision Science Symposium: Aug. 22-24, 2023, in Tuebingen, Germany
by Pavlovic, Maria 20 Apr '23

20 Apr '23

Systems Vision Science Symposium Aug. 22-24, 2023 in Tübingen, Germany -------------------------------- REMINDER DEADLINE TO SUBMIT CONTRIBUTIONS APRIL 30, 2023! Our symposium takes place at the end of our Systems Vision Science summer school Aug. 14-24, 2023. Presentation topics by the invited speakers will be ® Topics in Systems Vision Science ® The power of two: New perspectives on binocular vision ® Central versus peripheral vision We are pleased to announce our symposium's keynote speaker: Marty Sereno. The keynote speech will be on August 22, 2023 Invited speakers of the Systems Vision Science Summer School and Symposium include: Assaf Breska, Peter Dayan, Andrea van Doorn, Wolfgang Einhäuser-Treyer, Karl Gegenfurtner, Ziad Hafed, Tadashi Isa, Jan Koenderink, Kristine Krug, Hanspeter Mallot, Laurence Maloney, Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read, Alexander Schütz, Manuel Spitschan, Kristina Visscher, Li Zhaoping. -------------------------------- We invite you to submit contributions in form of posters to the symposium on all topics in Systems Vision Science, which combines computational, behavioral, and neuroscience methods to discover functions and algorithms for vision in various brain regions and their implementations in neural circuits. To maximize exchanges during the symposium, each poster will be displayed throughout the symposium, which includes five poster sessions (two daytime sessions and three evening sessions), in a venue next to the lecture hall and coffee breaks to give enough time for discussions, networking and knowledge exchange. To contribute, please fill out our registration form including an abstract, which can be found here: <https://summerschool.lizhaoping.org/contributions-for-symposium/> https://summerschool.lizhaoping.org/contributions-for-symposium/ -------------------------------- Submissions of contributions are possible until April 30, 2023. Registration without contribution to the symposium will be open until capacity or deadline for organization is reached. This years venue capacity is 100, including invited speakers and summer school participants. Information about our summer school, which takes place just before the Systems Vision Science Symposium, can be found here: <https://summerschool.lizhaoping.org/> https://summerschool.lizhaoping.org/ Please direct inquiries to <mailto:svs.summerschool@tue.mpg.de> svs.summerschool(a)tue.mpg.de -------------------------------- Organizing team: Li Zhaoping Ulf Lüder Maria Pavlovic Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen www.lizhaoping.org <http://www.lizhaoping.org>

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Postdoc in cognitive computational neuroscience at Universitat Jaume I (Castelló, Spain)
by Raphael Samuel Matthew Kaplan 18 Apr '23

18 Apr '23

Dear Colleagues, The Decision and Memory group(decisionandmemory.org) at the Universitat Jaume I in Castelló de la Plana, Spain seeks a motivated postdoctoral scholar to study the influence of long-term memory processes on creativity and social cognition using computational cognitive science and cognitive neuroscience methods(neuroimaging, behavior, and computational models). The position is expected to last 2 years and involves applying social and semantic network models to data from novel online behavioral and fMRI paradigms. Competitive applicants will have a PhD in cognitive science, experimental psychology, mathematical psychology, computational neuroscience, cognitive neuroscience, or a related field. Applicants are ideally looking to build innovative careers in academia or big data analysis in industry. Postdoc candidates that have recently completed (or will complete) their PhD are particularly encouraged to apply, where they will have ample opportunity to be sponsored for regional, national, and European independent research fellowships. Some experience programming in R or Python, designing psychology experiments, or developing computational models are required for this position. Experience or interest using semantic or social network analyses, behavioral models, computational neuroscience models, or fMRI methods is a plus. The position is expected to commence this autumn. To apply, interested candidates should directly contact the group director, Raphael Kaplan at kaplan(a)uji.es with a 1-2 paragraph cover/motivation letter, CV, and contact info for three references by May 22, 2023. Please feel free to direct any questions about the position to Dr. Kaplan. We would be grateful if you could circulate this position to any students or colleagues. Kind regards, Raphael Kaplan -- Raphael Kaplan, PhD CIDEGENT Principal Investigator Departament de Psicologia Bàsica, Clínica i Psicobiologia Universitat Jaume I kaplan(a)uji.es Ext: 7431 web: www.decisionandmemory.org

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PhD in computational and systems neuroscience applied to Parkinson's Disease
by Pablo Jercog 14 Apr '23

14 Apr '23

The Neurobiology of Parkinson's Disease group from the Cajal Institute CSIC (Madrid) is seeking highly motivated Ph.D. candidates interested in developing a Doctoral Thesis in the field of Computational and Systems Neuroscience. The project will require the analyses of in-vivo electrophysiological, calcium imaging, and behavior recordings in mice models of Parkinson’s disease. The position requires: - MS degree in Biomedical Engineering, Bioinformatics, Computer Science, Applied Math/Physics, or equivalent. - Good communication and organizational skills are highly desirable. An English language degree is necessary. - Analytical skills required to resolve problems that entail the use of basic scientific, mathematical, and technical principles are a plus. - Experience with using MATLAB or PYTHON for signal processing is essential . - High average grades from Graduate school and master's will be highly valued. Some related publications: - Espadas I, Ortiz O, García-Sanz P, Sanz-Magro A, Alberquilla S, Solis O, Delgado-García JM, Gruart A, Moratalla R. Dopamine D2R is Required for Hippocampal-dependent Memory and Plasticity at the CA3-CA1 Synapse. Cereb Cortex. 2021 31(4):2187-2204. - García-Sanz P, M F G Aerts J, Moratalla R. The Role of Cholesterol in α-Synuclein and Lewy Body Pathology in GBA1 Parkinson's Disease. Mov Disord. 2021, 36(5):1070-1085. - Suarez LM, Solis O, Sanz-Magro A, Alberquilla S, Moratalla R. Dopamine D1 Receptors Regulate Spines in Striatal Direct-Pathway and Indirect-Pathway Neurons. Mov Disord. 2020;35(10):1810-1821. - Keifman E, Ruiz de Diego I, Pafundo DE, Paz RM, Solís O, Murer MG, Moratalla R. Optostimulation of striatonigral terminals in substantia nigra induces dyskinesia that increases after L-DOPA in a mouse model of Parkinson's disease. Br J Pharmacol. 2019;176:2146-2161. The position is funded for 2 years with an extension based on the outcome starting immediately. Interested candidates, please send the CV to Dr. Rosario Moratalla (moratalla(a)cajal.csic.es) until the position is fulfilled. -- Pablo Jercog, Ph.D. Team Leader Instituto Cajal Avda. Doctor Arce, 37 Madrid, Madrid, 28002, Spain cell: +34 620562808 email: pjercog(a)gmail.com Lab webpage <https://sites.google.com/view/pablojercogteam/>

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CARLsim Spiking Neural Network Simulator Feedback Requested
by Jeffrey L Krichmar 14 Apr '23

14 Apr '23

Dear Colleagues, CARLsim is an efficient, easy-to-use, GPU-accelerated library for simulating spiking neural network (SNN) models with a high degree of biological detail. Originating in 2009, CARLsim is now on its 6th major release. CARLsim supports CPU and GPU simulations ranging from small networks to networks with hundreds of thousands of neurons with millions of synaptic connections. It is supported on Linux, MacOS, and Windows. The software framework is open-source and freely available. More information can be found at: https://sites.socsci.uci.edu/~jkrichma/CARLsim/ This survey is intended for anyone who has used the CARLsim spiking neural network simulator, or who might like to use CARLsim in the future. It will help the CARLsim team develop future versions on the software framework. We appreciate your input and feedback. Please use this link to take our survey. https://forms.gle/GyVsuuey4mDB3bsB7 Thank you, 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

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