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2 x Postdoctoral research fellowships Horizon Europe project PRIMI
by Di Nuovo, Alessandro Sept. 13, 2023

Sept. 13, 2023

Sheffield Hallam University is advertising two positions to work on the Horizon Europe project PRIMI: Performance in Human Robot Interaction via Mental Imagery<https://cordis.europa.eu/project/id/101120727>, led by Professor Alessandro Di Nuovo (scientific coordinator). The project aims to create the next-gen humanoid robots with efficient computation, high cognition and autonomy, by synergistically combining interdisciplinary research development in neurophysiology, psychology, machine intelligence, cognitive mechatronics, neuromorphic engineering, and humanoid robotics. The PRIMI project seeks to create more capable interactive robots with advanced abilities, able to provide innovative and personalised services. Prototypes will be used in stroke rehabilitation studies. SHU unit will focus on machine intelligence techniques and neuromorphic computing technologies to create active inference models for interactive learning in robots with human-like performance. You will also join the Smart Interactive Technologies (SIT) research laboratory; a vibrant interdisciplinary group, led by Prof. Alessandro Di Nuovo, that conducts world-leading research on Artificial Intelligence and Robotics. The group is currently running several research projects worth over £2.5 million funding from the European Commission and UKRI. As a Senior Research Fellow, https://bit.ly/SnrResFellMachIntell, you are expected to work alongside the scientific coordinator of the PRIMI project, Prof. Di Nuovo, and support him in the high-level management of the project activities. It will also be your responsibility to carry out independent research as required by the project and provide leadership and support to the other staff, along with the supervision of a PhD student's research on the topics of the PRIMI project. It will be your responsibility to guarantee the delivery of research objectives, including the day-to-day management and implementation of the research tasks, e.g. design and carry-out neuro-robotic experiments, assist with data collection and perform both quantitative and qualitative analysis, develop and maintain open-source software, prepare high-quality scientific outputs, and present and organise at international events. As a Research Fellow https://bit.ly/ResFellNeuroRobot, you will carry out independent research as required by the project, provide leadership, and support the supervision of a PhD student researching on the topics of the PRIMI project. Under the mentorship of Prof. Di Nuovo, the research fellow will guarantee the delivery of the research objectives, including the day-to-day management and implementation of the research tasks, e.g. design and carry out neuro-robotic experiments, assist with data collection and perform both quantitative and qualitative analysis, develop and maintain open-source software, prepare high-quality scientific outputs, present and organise at international events. Please read the job information pack in the links above, which includes the full job description and person specification, available on our website for more details: https://www.shu.ac.uk/jobs/apply-for-jobs Alessandro Di Nuovo, PhD Professor of Machine Intelligence Leader of Technological and Digital Innovations, Advanced Wellbeing Research Centre College of Business, Technology and Engineering Sheffield Hallam University, United Kingdom Email: a.dinuovo(a)shu.ac.uk<mailto:a.dinuovo@shu.ac.uk>

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2 year Post Doc position @University of Padova - LIPh group - Dr. Michele Allegra
by Samir Suweis Sept. 13, 2023

Sept. 13, 2023

We are looking for a strongly motivated young scholar for a two-year Post-doctoral position at the Physics Department, University of Padova within the LIPh Lab https://www.liphlab.com/. The post-doc will work with Dr. Michele Allegra, but also in close contact with Prof. Dal Maschio’s Lab (Department of Biomedical Sciences, Unipd) and in collaboration with Dr. Pietro Rotondo (Department of Mathematical, Physical and Information Sciences, University of Parma). The post-doc will combine data analysis and modeling to investigate low-dimensional manifolds in neural activity, comparing real data from zebrafish and computational models based on artificial neural networks (a more detailed description of the project is provided below). The position will be fully funded by the National Interest Research Project (PRIN) “Unveiling the role of low dimensional activity manifolds in biological and artificial neural networks”, which also includes funding for traveling. Candidates should have a PhD in Physics, Computational Neuroscience or a related subject. Advanced computational skills (including solid experience with Matlab or Python programming) and data analysis experience are mandatory. Previous experience with neural data is highly welcome. Starting date: as soon as possible. For further info: Michele Allegra <michele.allegra(a)unipd.it> ***************** Samir Suweis www.liphlab.com Tel: +39 049 827 71 74

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post-doc position offer on computational analysis of neuroimaging data
by GILSON Matthieu Sept. 13, 2023

Sept. 13, 2023

URL REFERENCE: https://matthieugilson.eu/positions/Post-Doc_neuroimaging_biomarkers.html JOB TITLE Post-doctorate position to study diagnosis of multimodal neuroimaging data for amyotrophic lateral sclerosis RESEARCH FIELDS Data Science, Neuroimaging, Neurology, Computational Neuroscience PROJECT DESCRIPTION The project aims to develop and test prediction tools for clinical diagnosis from neuroimaging data, with pipelines covering data preprocessing and machine-learning representational techniques. The focus is on amyotrophic lateral sclerosis (ALS), a rare neurodegenerative disease for which no efficient treatment exists. A particular goal is to test the possibility of stratifying ALS patients in subtypes with slow versus fast disease progression. It is based on a dataset of 30 ALS patients and matched controls, acquired on 7T and 3T magnetic resonance imaging (MRI) scanners, which is currently being extended. Specifically, this dataset involves advanced MRI techniques that are promising for neurodegenerative diseases: quantitative and sodium MRI modalities, in addition to usual structural and functional MRI. We thus plan to build a multimodal prediction pipeline such as to test the combination of distinct types of MRI data (graph/network fusion) for clinical prediction. It also includes an international collaboration and aims to compare ALS datasets acquired in different centers. The position lies at the intersection between clinical research in a hospital and a neuroscience laboratory, aiming to bridge the different research cultures from both sides. We provide an interdisciplinary environment with a team of experts in the following fields: • computational neuroscience with Matthieu Gilson (https://matthieugilson.eu) and Xenia Kobeleva (https://xenia-kobeleva.com/) • MRI techniques with Wafaa Zaaraoui (https://crmbm.univ-amu.fr/contact/zaaraoui-wafaa) • neurology with Aude-Marie Grapperon (https://loop.frontiersin.org/people/593696) and again Xenia Kobeleva. JOB OFFER The position consists of 2 contracts for a total duration of 18 months (full time, 35 hours / week), because of combining two sources of funding. The monthly net salary is between 2000 to 2500 euros depending on previous working experience. The work place is at the Institut de Neurosciences de la Timone (INT, https://int.univ-amu.fr) and Center for Magnetic Resonance in Biology and Medicine (CRMBM, https://crmbm.univ-amu.fr) both part of Aix-Marseille University (France). Start date: October 2023 REQUIRED QUALIFICATIONS AND PROFESSIONAL SKILLS We are looking for a candidate that can demonstrate sufficient experience at the PhD level and knowledge in data analysis for neuroscientific data for reaching the project objectives. We seek profiles with solid programming skills in Python (or an equivalent language) combined with a background in the field of neurology. Experience in clinical neuroimaging, markers for neuropathologies and/or computational neuroscience will be favored. Additionally, experience with working in a interdisciplinary team and interest for open science are desired. Women are strongly encouraged to apply. The candidates will also be evaluated on their motivation, with respect to all steps of the process from data acquisition to analysis and scientific communication. CONTACT AND REQUESTED DOCUMENTS Please send a curriculum vitae summarizing your academic and professional trajectory, as well as a motivation letter, to: matthieu.gilson(a)univ-amu.fr -- Matthieu Gilson Chaire de Professeur Junior Aix-Marseille Université Institut de Neurosciences de la Timone https://matthieugilson.eu

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*** SAVE THE DATES *** From Animals to Animats 17: The 17th International Conference on Simulation of Adaptive Behavior (SAB 2024) at UC Irvine
by Jeffrey L Krichmar Sept. 12, 2023

Sept. 12, 2023

*** SAVE THE DATES *** From Animals to Animats 17: The 17th International Conference on Simulation of Adaptive Behavior (SAB 2024) When: September 9-12, 2024 Where: The University of California, Irvine, Irvine CA, USA Website: https://sites.uci.edu/sab2024/ The Simulation of Adaptive Behavior (SAB) interdisciplinary conference brings together researchers in artificial intelligence, artificial life, computer science, cybernetics, ethology, evolutionary biology, neuroscience, robotics, and many other fields, to further our understanding of the behaviors and underlying mechanisms that allow natural animals and artificial agents to adapt and survive in complex, dynamic and uncertain environments. Animats denote the connection between animals and synthetic agents. The conference focuses on models and experiments designed to help characterize and compare various organizational principles and architectures underlying adaptive behavior in real animals and in animats. SAB 2024 solicits contributions dealing with any aspect of adaptive behavior. We especially invite submissions from researchers who connect biology and natural behavior to synthetic agents. Conference papers are peer-reviewed and accepted papers will be published in “From Animals to Animats 17. SAB 2024.” Lecture Notes in Computer Science, Springer. Typical, but not exclusive, topics of interest are: - Artificial Intelligence, Artificial Life, and Computational neuroscience o Action selection, behavioral sequencing o Communication and language o Emotion and motivation o Internal models and representations o Reinforcement learning o Sensory-motor coordination, motor control o Software agents and virtual creatures - Philosophical Issues o Consciousness o Ethics o Mind/Body problem - Robotics o Autonomous robotics o Bio-inspired and hybrid robotics o Cognitive robotics o Developmental robotics o Humanoid robotics o Navigation and mapping o Neurorobotics - Self-Organizing Systems o Body and brain co-evolution o Collective and social behavior o Dynamical systems approaches o Evolutionary and co-evolutionary approaches o Self-assembling and self-replication IMPORTANT DATES (tentative): Paper submission deadline: April 1, 2024 Workshop and Tutorial proposals submission deadline: April 15, 2024 Notice of acceptance: June 30, 2024 Camera-ready papers: July 15, 2024 Conference dates: • Workshops and Tutorials: September 9, 2024 • Main Conference: September 10-12, 2024 ABOUT THE SAB CONFERENCE: SAB started in 1990 (Paris, 24-28 September 1990). After years of great success, SAB has given birth to numerous other conferences (on genetics algorithms, reinforcement learning, swarm intelligence, bio-inspired systems, developmental robotics, etc.). In the forthcoming 17th edition, we want to both celebrate this prior success and expand into trending research areas. Since SAB is held every two years, we want to strengthen the conference as a place to discuss the new trends in all relevant areas from the people bringing breakthrough ideas and results. SAB will continue to have a single-track format, to propose self-critical, thought-provoking, and nurturing discussions among specialists in each area as well as with specialists in other areas, so that the conference will both present the state of the art and inspire new ideas at the cutting edge of science. As steps in this direction, this year we will have a broad range of invited speakers to discuss both, longstanding topics in SAB, and the new trends in (and the future of) the Simulation of Adaptive Behavior. The conference will be held at the CalIT2 Auditorium on the UC Irvine Campus (https://www.calit2.uci.edu) We look forward to welcoming you at SAB 2024! SAB Organizing Committee ----------- 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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Autumn School in Comp Neuro/Neurotech/NeuroAI
by O'Donnell, Cian Sept. 11, 2023

Sept. 11, 2023

Final notice for online applications for our 3rd annual Autumn School in Computational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN3), hosted at the Intelligent Systems Research Centre (ISRC) at Ulster University, Northern Ireland (in-person attendance slots are now full). The School runs from 25-31st October 2023. Topics and lecturers: * Introductory neuroscience / Elaine Murray, Ulster University * Mathematics for neuroscience / Rachel Nicks, University of Nottingham * Computational modelling of plasticity and learning in brains / Cian O’Donnell, Ulster University * Computational modelling of neuronal and glial interactions / Liam McDaid, Ulster University * Modelling the dynamics of decision-making / KongFatt Wong-Lin, Ulster University * Investigating time series neural data: Common signal processing practices / Saugat Bhattacharyya, Ulster University * Fundamentals of functional and effective connectivity / Maria Dauvermann, University of Birmingham * Non-invasive brain-computer interfaces: Enhancing applicability using computational intelligence and technological advances / Girijesh Prasad, Ulster University * Decoding mental imagery from electroencephalography (EEG) and applications of AI-enabled wearable neurotechnology for communication and rehabilitation / Damien Coyle, University of Bath & Ulster University * Brain-inspired spiking neural network models for life-long and explainable learning / Nikola Kasabov, Auckland University of Technology & Ulster University * Introduction to Lifelong Learning / Shirin Dora, Loughborough University * Foundations of Large Language Models / Muskaan Singh, Ulster University * Neuromorphic Engineering / Jim Harkin, Ulster University * Ethical and regulatory issues in Neuroscience There will also be daily computer lab sessions and group projects. The school is primarily targeted at PhD student level but we also welcome applications from MSc students, postdoctoral researchers, academic faculty, and industrial researchers. Registration is made highly affordable: £50 for attendees from high-income countries, £20 for attendees from low- and middle-income countries. For more information and application, please visit the website at: https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-envi… Deadline for online application is 15th September 2023. Sponsored by generous funding from NeuroCONCISE, IEEE Brain, IEEE Computational Intelligence Society, IEEE EMBS, and g.tec. This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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General attendance open for Symposium on the Mathematics of Neuroscience (28th Sept - 1st Oct 2023, Old Town, Rhodes, Greece)
by Battleday, Ruairidh Sept. 11, 2023

Sept. 11, 2023

Fourth International Symposium on the Mathematics of Neuroscience. 28th September - 1st October 2023, Old Town, Rhodes, Greece. —---------------- General attendance now open; poster sessions still accepting submissions. —---------------- We have finalized the schedule for this year’s conference on the mathematics of neuroscience, and have opened registration for general attendance: www.neuromonster.org Thank you to everyone that made a submission! We will continue to accept submissions for the poster sessions until the 20th September (and, registration for poster sessions includes general conference admission). In this exploratory symposium, we present and discuss general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. Keynote Speakers Professor Aapo Hyvärinen (University of Helsinki) Painful intelligence: What AI can tell us about human suffering Professor Janneke Jehee (Donders Institute) Probabilistic representations in the human visual cortex Professor Peter Latham (UCL) What’s the question and how do we answer it? Session Chairs Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT) Neurotheory: Dr James Whittington (Oxford / Stanford) Biocomputation: Professor Dan V. Nicolau (King’s College London / Oxford) Representational alignment: Dr Ilia Sucholutsky (Princeton) Invited Speakers Professor Andrew Adamatzky (UWE) Professor Dan Nicolau Sr (McGill) Professor Bill Thompson (Berkeley) Professor Bradley Love (UCL) Professor Iris Groen (Amsterdam) Dr Thomas Parr (UCL) Dr Ilias Rentzeperis (SNRC) The symposium will be held virtually or in-person on the island of Rhodes, Greece from the 28th September - 1st October 2023 (www.neuromonster.org) Submission for poster sessions is by 250-word abstract before the 20th September 2023, emailed to the session chairs at battleday(a)thinkingaboutthinking.org, indicating the desired session. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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tenure track assistant professor position in auditory systems neuroscience at the University of Pennsylvania
by Maria Geffen Sept. 8, 2023

Sept. 8, 2023

Dear Colleagues, The Hearing Research Center at the University of Pennsylvania <https://www.med.upenn.edu/pennhearing/> has an opening for a tenure-track assistant professor in auditory systems neuroscience to join our team. Applications are accepted on rolling basis, with preference given to applications received by Oct 16. Application is available here: https://apply.interfolio.com/100900 <https://apply.interfolio.com/100900> Assistant Professor of Auditory Neuroscience, Tenure Track <https://apply.interfolio.com/100900> The Department of Otorhinolaryngology: Head and Neck Surgery <https://www.pennmedicine.org/departments-and-centers/otorhinolaryngology> at the Perelman School of Medicine <https://www.pennmedicine.org/> at the University of Pennsylvania <http://upenn.edu/> seeks candidates for an Assistant Professor position in the tenure track <https://apply.interfolio.com/100900>. Expertise is required in the specific area of systems neuroscience with a focus on identifying the neural correlates of hearing function or dysfunction with an emphasis on identifying the causal relationships between neural activity in individual neurons and/or circuits and learning or behavior. Particular areas of interest include computational neuroscience and translational approaches. Applicants must have an M.D. or Ph.D. or M.D./Ph.D. degree. Teaching responsibilities may include training of graduate students and post-doctoral investigators. Research or scholarship responsibilities may include building an independent research program in basic and/or translational studies in auditory neuroscience. Scholarship should include peer-reviewed publications and presentations of work at scientific meetings and other venues. The selected candidate will be expected to develop interactions with investigators not only in the department <https://www.med.upenn.edu/pennhearing/>, but within the greater neuroscience community in the Perelman School of Medicine <https://mindcore.sas.upenn.edu/> (e.g. the Computational Neuroscience Institute <http://cni.upenn.edu/>) and across the University campus. Ideally, the candidate should have the vision and ability to effectively interact with clinicians to establish and foster translational research programs within their research discipline. The ideal candidate should have completed advanced postdoctoral training or be an early career investigator with an exceptional record of research achievement demonstrating a trajectory for success in academic medicine. Key selection criteria will be in research excellence and originality of science. There is opportunity for a secondary appointment in a basic science department for the successful candidate. Candidates with a keen interest in building interdisciplinary programs through interactions across the basic and clinical departments within the Perelman School of Medicine, as well as other health-related schools at the University of Pennsylvania, are encouraged to apply. The Department of Otorhinolaryngology: Head and Neck Surgery is among the leading departments in the nation, and home to basic and translational scientists who conduct world-class research in auditory systems neuroscience <https://www.med.upenn.edu/pennhearing/>. The Perelman School of Medicine <https://www.pennmedicine.org/> at the University of Pennsylvania <http://upenn.edu/> provides an intellectually vibrant and collaborative interdisciplinary environment, with a wealth of cutting-edge research resources. We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply. ______________________________________ Maria N. Geffen, Ph.D. (she/her) Professor Department of Otorhinolaryngology Department of Neuroscience Department of Neurology Co-Director, Computational Neuroscience Initiative Stemmler Hall G14 3450 Hamilton Walk Philadelphia PA 19104 (215)898-0782 mgeffen(a)pennmedicine.upenn.edu <mailto:mgeffen@pennmedicine.upenn.edu> My zoom room <https://pennmedicine.zoom.us/my/mgeffen?pwd=eWVFbUJFUGRJZ3g1eU9YZEZic2VwZz09> Follow me @ <https://mastodon.world/@geffenlab>geffenlab(a)mastodon.world <mailto:geffenlab@mastodon.world> @geffenlab.bsky.social <https://bsky.app/profile/geffenlab.bsky.social> http://hosting.med.upenn.edu/hearing <http://hosting.med.upenn.edu/hearing> Twitter: @neimarkgeffen <http://twitter.com/neimarkgeffen>

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free online Vision Courses available
by Li Zhaoping Sept. 8, 2023

Sept. 8, 2023

These online courses (available at https://zhaoping.thinkific.com/ ) include A very brief introduction of what is known about vision experimentally <https://zhaoping.thinkific.com/courses/a-very-brief-introduction-of-what-is…> A very brief introduction to simple mathematical methods for computational vision <https://zhaoping.thinkific.com/courses/a-very-brief-introduction-to-simple-…> The efficient coding principle <https://zhaoping.thinkific.com/courses/the-efficient-coding-principle> Visual attention and V1 Saliency Hypothesis <https://zhaoping.thinkific.com/courses/visual-attention-and-v1-saliency-hyp…> Visual decoding and recognition <https://zhaoping.thinkific.com/courses/visual-decoding-or-recognition> You can mix and match them for graduate courses in (e.g.,) "Introduction to Vision", "Systems Vision Science", and "Computational Vision". They have been used for teaching in the University of Tuebingen, and are also suitable for self-study. Questions and comments are most welcome! Li Zhaoping -- Li Zhaoping, Ph.D. Prof. of Cognitive Science, University of Tuebingen Head of Department of Sensory and Sensorimotor Systems, Max Planck Institute for Biological Cybernetics Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014 www.lizhaoping.org

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Special issue on Deep SNNs
by MASQUELIER Timothee Sept. 8, 2023

Sept. 8, 2023

Dear colleagues, Please consider submitting your work to our Frontiers Research Topic "Deep Spiking Neural Networks: Models, Algorithms and Applications": https://www.frontiersin.org/research-topics/58546/deep-spiking-neural-netwo… Best, Tim ___________________________________________________________________ Timothée Masquelier - timothee.masquelier(a)cnrs.fr - http://cerco.cnrs.fr/pagesp/tim

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Watch our A Eye workshop via Zoom (September 19-22, 2023): 'Cortical Prostheses - Interdisciplinary Research Towards Artificial Vision for the Blind'
by David Rotermund Sept. 8, 2023

Sept. 8, 2023

We would like to invite you to watch the talks of our workshop 'Cortical Prostheses - Interdisciplinary Research Towards Artificial Vision for the Blind'. It will take place from 19 to 22 September 2023. If you are interested in watching the talks via Zoom (free of charge), please use the web form at https://www.uni-bremen.de/i-see/hwk-workshop to register. In addition to the registration form, you will also find the abstracts of all the presentations and a provisional timetable (which is in German time) on the website. If you have any questions, please don't hesitate to ask. Here is the list of scheduled talks: Michael Beyeler Human-in-the-Loop Optimization of Simulated Prosthetic Vision Avi Caspi Eye tracking in cortical visual prosthesis - from theory to practice Gislin Dagnelie Early functional outcomes for the first human with the Intracortical Visual Prosthesis (ICVP) Theo Doll Additively Fabricated Cortical Electrodes – a materials challenge Udo Ernst I-See - Evaluating novel approaches for constructing visual cortical prostheses Eduardo Fernandez Jover Towards an advanced cortical visual neuroprosthesis based on intracortical microelectrodes Ione Fine Pulse trains to percepts: Using virtual patients to describe the perceptual effects of human visual cortical stimulation Shelley I. Fried Towards the development of a micro-coil based cortical visual prosthesis Diego Ghezzi High-density wide-area cortical visual prosthesis Umut Guclu Neural Coding and Neuroprosthetics with Deep Learning and Synthetic Reality Michael Herzog A psychophysical approach to object rendering in future V4 prostheses Dirk Jancke Probing electrical brain stimulation in genetically modified mice Arto Nurmikko Wireless Networks of Implanted Microchips for Distributed Cortical Sensing and Stimulation Christopher Pack Design considerations for an extrastriate visual cortical prosthetic Carlos Ponce Estimating the capacity of neuronal population encoding via image reconstructions Bogdan Raducanu Chips to neurons and back: electronic circuits for neural recording and stimulation Pieter Roelfsema Visual perception and consciousness and their restoration when the eyes fail Andreas Schander Development of neural probes for chronic recording and electrical stimulation Michael Schmid Influence of visual cortex stimulation on perception: Insights from experiments in non-human primates Martin Schrimpf Do Topographic ANNs Predict the Behavioral Effects of Neural Interventions in Primate IT Cortex? Fabian Sinz Exploring the Visual System with Functional Digital Twins and Inception Loops Anna Wang Roe A novel interface for cortical columnar neuromodulation with multi-point infrared neural stimulation Daniel Yoshor Implementing a Visual Cortical Prosthetic: Advances and Challenges best wishes David

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