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Topic 1 September 2015 – Volume 08, Issue 02
Topic 1 September 2015 – Volume 08, Issue 02 www.medical-neurosciences.de 22 Editorial CNSNewsletter September 2015 3 FOCUS Eating Right, Staying Bright 3 From Molecules to Mouthwatering Feast your eyes on the latest issue of the CNS Newsletter! If you’re reading this fi rst thing in the morning, have you 4 Boost Your Baby’s Brain! had breakfast yet? We can’t believe we’re saying this but 5 Breakfast and Brain Function if you haven’t, put the newsletter down and grab the most important meal of the day before doing anything else 6 The ABCs of Brain Foods (you’ll thank us when you get to page 5). 8 Our Moods, Our Foods What’s the hype about those shiny green “Bio” signs scattered across Berlin you pass by everyday on your 9 The Social Microbiome: A Gutsy Hypothesis morning commute? Read the low-down about organic 10 Aphrodisiacs and the Doctrine of Signatures food and the big debate about genetically modifi ed crops on pages 16 and 17. Are they any good for us? If you’re not 10 Are Oreos the New Cocaine? convinced, maybe you’re a natural skeptic. In that case: 11 Can You Be Addicted to Food? what do you think about the state of science? Is it in big trouble? Is it in need of profound change? Our brand new 12 Can Surgery Treat a Mental Illness? “Critique Corner” features an anonymous contributor dis- cussing the gloomier parts of contemporary science. 13 Ceasing Seizures with Fat? We have an inspiring interview with the man who 14 Dieting and the Brain brought us even more excitement than is usually expected from a FIFA World Cup opening match. -
(Jimmy) Dooley
Updated: 10/12/2017 JAMES (JIMMY) DOOLEY Department of Psychological and Brain Sciences Lab: (319) 335-3975 University of Iowa Mobile: (714) 308-2784 E11 Seashore Hall E-mail: [email protected] Iowa City, Iowa 52242 EDUCATION B.A. 2009 Biology and Psychology, honors University of Chicago Honors advisor: Dr. Brian Prendergast Awarded June, 2009 Ph.D. 2015 Neuroscience University of California, Davis Advisor: Dr. Leah Krubitzer Awarded September, 2015 Dissertation: Anatomical connections of parietal cortex and visual acuity in Monodelphis domestica: Insights into the brain organization of the mammalian ancestor. CURRENT AND PREVIOUS POSITIONS Postdoctoral Fellow, University of Iowa, Dr. Mark Blumberg 2016 – present Postdoctoral Scholar, University of California, Davis, Dr. Leah Krubitzer 2015 Rotation Student, University of California, Davis, Dr. Barbara Chapman 2010 Rotation Student, University of California, Davis, Dr. Brian Trainor 2009 Research Assistant, University of Chicago, Dr. Brian Prendergast 2007 – 2009 COURSES ATTENDED Cold Spring Harbor Neural Data Science July 2017 Barcelona Cognition, Brain, and Technology Summer School September 2014 ACADEMIC AWARDS, HONORS, AND SPECIAL RECOGNITION College of Biological Sciences Student Spotlight July 2015 Ling-Lie Cha Graduate Student Award 2015 UC Davis Graduate Student Travel Award 2014 UC Davis Center for Visual Science Travel Fellowship 2014 Travel award to attend the International Society for Developmental 2014 Neurobiology meeting 1st place, Best Student Project, Barcelona -
Deep Learning Approaches for Neural Decoding: from Cnns to Lstms and Spikes to Fmri
Deep learning approaches for neural decoding: from CNNs to LSTMs and spikes to fMRI Jesse A. Livezey1,2,* and Joshua I. Glaser3,4,5,* [email protected], [email protected] *equal contribution 1Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States 2Redwood Center for Theoretical Neuroscience, University of California, Berkeley, Berkeley, California, United States 3Department of Statistics, Columbia University, New York, United States 4Zuckerman Mind Brain Behavior Institute, Columbia University, New York, United States 5Center for Theoretical Neuroscience, Columbia University, New York, United States May 21, 2020 Abstract Decoding behavior, perception, or cognitive state directly from neural signals has applications in brain-computer interface research as well as implications for systems neuroscience. In the last decade, deep learning has become the state-of-the-art method in many machine learning tasks ranging from speech recognition to image segmentation. The success of deep networks in other domains has led to a new wave of applications in neuroscience. In this article, we review deep learning approaches to neural decoding. We describe the architectures used for extracting useful features from neural recording modalities ranging from spikes to EEG. Furthermore, we explore how deep learning has been leveraged to predict common outputs including movement, speech, and vision, with a focus on how pretrained deep networks can be incorporated as priors for complex decoding targets like acoustic speech or images. Deep learning has been shown to be a useful tool for improving the accuracy and flexibility of neural decoding across a wide range of tasks, and we point out areas for future scientific development. -
Download a Copy of the 264-Page Publication
2020 Department of Neurological Surgery Annual Report Reporting period July 1, 2019 through June 30, 2020 Table of Contents: Introduction .................................................................3 Faculty and Residents ...................................................5 Faculty ...................................................................6 Residents ...............................................................8 Stuart Rowe Lecturers .........................................10 Peter J. Jannetta Lecturers ................................... 11 Department Overview ............................................... 13 History ............................................................... 14 Goals/Mission .................................................... 16 Organization ...................................................... 16 Accomplishments of Note ................................ 29 Education Programs .................................................. 35 Faculty Biographies ................................................... 47 Resident Biographies ................................................171 Research ....................................................................213 Overview ...........................................................214 Investigator Research Summaries ................... 228 Research Grant Summary ................................ 242 Alumni: Past Residents ........................................... 249 Donations ................................................................ 259 Statistics -
Implantable Microelectrodes on Soft Substrate with Nanostructured Active Surface for Stimulation and Recording of Brain Activities Valentina Castagnola
Implantable microelectrodes on soft substrate with nanostructured active surface for stimulation and recording of brain activities Valentina Castagnola To cite this version: Valentina Castagnola. Implantable microelectrodes on soft substrate with nanostructured active sur- face for stimulation and recording of brain activities. Micro and nanotechnologies/Microelectronics. Universite Toulouse III Paul Sabatier, 2014. English. tel-01137352 HAL Id: tel-01137352 https://hal.archives-ouvertes.fr/tel-01137352 Submitted on 31 Mar 2015 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THÈSETHÈSE En vue de l’obtention du DOCTORAT DE L’UNIVERSITÉ DE TOULOUSE Délivré par : l’Université Toulouse 3 Paul Sabatier (UT3 Paul Sabatier) Présentée et soutenue le 18/12/2014 par : Valentina CASTAGNOLA Implantable Microelectrodes on Soft Substrate with Nanostructured Active Surface for Stimulation and Recording of Brain Activities JURY M. Frédéric MORANCHO Professeur d’Université Président de jury M. Blaise YVERT Directeur de recherche Rapporteur Mme Yael HANEIN Professeur d’Université Rapporteur M. Pascal MAILLEY Directeur de recherche Examinateur M. Christian BERGAUD Directeur de recherche Directeur de thèse Mme Emeline DESCAMPS Chargée de Recherche Directeur de thèse École doctorale et spécialité : GEET : Micro et Nanosystèmes Unité de Recherche : Laboratoire d’Analyse et d’Architecture des Systèmes (UPR 8001) Directeur(s) de Thèse : M. -
Human Enhancement Technologies and Our Merger with Machines
Human Enhancement and Technologies Our Merger with Machines Human • Woodrow Barfield and Blodgett-Ford Sayoko Enhancement Technologies and Our Merger with Machines Edited by Woodrow Barfield and Sayoko Blodgett-Ford Printed Edition of the Special Issue Published in Philosophies www.mdpi.com/journal/philosophies Human Enhancement Technologies and Our Merger with Machines Human Enhancement Technologies and Our Merger with Machines Editors Woodrow Barfield Sayoko Blodgett-Ford MDPI • Basel • Beijing • Wuhan • Barcelona • Belgrade • Manchester • Tokyo • Cluj • Tianjin Editors Woodrow Barfield Sayoko Blodgett-Ford Visiting Professor, University of Turin Boston College Law School Affiliate, Whitaker Institute, NUI, Galway USA Editorial Office MDPI St. Alban-Anlage 66 4052 Basel, Switzerland This is a reprint of articles from the Special Issue published online in the open access journal Philosophies (ISSN 2409-9287) (available at: https://www.mdpi.com/journal/philosophies/special issues/human enhancement technologies). For citation purposes, cite each article independently as indicated on the article page online and as indicated below: LastName, A.A.; LastName, B.B.; LastName, C.C. Article Title. Journal Name Year, Volume Number, Page Range. ISBN 978-3-0365-0904-4 (Hbk) ISBN 978-3-0365-0905-1 (PDF) Cover image courtesy of N. M. Ford. © 2021 by the authors. Articles in this book are Open Access and distributed under the Creative Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons license CC BY-NC-ND. -
Modular Subdivisions of Dolphin Insular Cortex: Does Evolutionary History Repeat Itself?
Modular Subdivisions of Dolphin Insular Cortex: Does Evolutionary History Repeat Itself? Paul Manger, Monika Sum, and Michael Szymanski University of California, Davis Downloaded from http://mitprc.silverchair.com/jocn/article-pdf/10/2/153/1758298/089892998562627.pdf by guest on 18 May 2021 Sam Ridgway Naval Command Control and Ocean Surveillance Center Leah Krubitzer University of California, Davis Downloaded from http://direct.mit.edu/jocn/article-pdf/10/2/153/1931754/089892998562627.pdf by guest on 30 September 2021 Abstract ■ The structural organization of the insular cortex in the cortex, varies dramatically. Indeed, despite the tremendous ex- bottlenose dolphin was investigated by examining Nissl- and pansion of the cetacean neocortex, the size of the modules in myelin-stained tissue that was sectioned coronally and tangen- the insular cortex is similar to that described for small-brained tially. An uneven distribution of cell clusters that coincided mammals like the mouse, suggesting that module size is evolu- with myelin-light zones was observed in layer II. When the tionarily stable across species. Selection for optimal-size proc- present observations were compared to descriptions of mod- essing units, in terms of the lengths of connections within and ules in other animals, we found that the range of module size between them, is a likely source of this stability. ■ is restricted, while the size of the brain, particularly the neo- INTRODUCTION Mountcastle (1978) was not a ªxed structure in the cortex, and he proposed that the cortex should “not be The notion that the neocortex is divided into functional regarded as a collection of isolated units cemented to- parts was popularized almost a century ago by Brod- gether in a mosaic.” mann (1909). -
Attempts to Achieve Immortality
Attempts to achieve immortality Attempts to achieve immortality Author: Stepanka Boudova E-mail: [email protected] Student ID: 419572 Masaryk University Brno Course: Future of Informatics 1 Attempts to achieve immortality Table of Contents Attempts to achieve immortality......................................................................................................1 Introduction......................................................................................................................................3 Historical context.............................................................................................................................3 History of Alchemy.....................................................................................................................3 Religion and Immortality............................................................................................................ 5 Symbols of Immortality.............................................................................................................. 6 The future.........................................................................................................................................6 Mind Uploading.......................................................................................................................... 6 Cryonics.................................................................................................................................... 10 2 Attempts to achieve immortality Introduction -
Enhancing Nervous System Recovery Through Neurobiologics, Neural Interface Training, and Neurorehabilitation
UCLA UCLA Previously Published Works Title Enhancing Nervous System Recovery through Neurobiologics, Neural Interface Training, and Neurorehabilitation. Permalink https://escholarship.org/uc/item/0rb4m424 Authors Krucoff, Max O Rahimpour, Shervin Slutzky, Marc W et al. Publication Date 2016 DOI 10.3389/fnins.2016.00584 Peer reviewed eScholarship.org Powered by the California Digital Library University of California REVIEW published: 27 December 2016 doi: 10.3389/fnins.2016.00584 Enhancing Nervous System Recovery through Neurobiologics, Neural Interface Training, and Neurorehabilitation Max O. Krucoff 1*, Shervin Rahimpour 1, Marc W. Slutzky 2, 3, V. Reggie Edgerton 4 and Dennis A. Turner 1, 5, 6 1 Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA, 2 Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA, 3 Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA, 4 Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, USA, 5 Department of Neurobiology, Duke University Medical Center, Durham, NC, USA, 6 Research and Surgery Services, Durham Veterans Affairs Medical Center, Durham, NC, USA After an initial period of recovery, human neurological injury has long been thought to be static. In order to improve quality of life for those suffering from stroke, spinal cord injury, or traumatic brain injury, researchers have been working to restore the nervous system and reduce neurological deficits through a number of mechanisms. For example, Edited by: neurobiologists have been identifying and manipulating components of the intra- and Ioan Opris, University of Miami, USA extracellular milieu to alter the regenerative potential of neurons, neuro-engineers have Reviewed by: been producing brain-machine and neural interfaces that circumvent lesions to restore Yoshio Sakurai, functionality, and neurorehabilitation experts have been developing new ways to revitalize Doshisha University, Japan Brian R. -
KAFUI DZIRASA, MD Phd
KAFUI DZIRASA, MD PhD 421 Bryan Research, Box 3209 E-mail: [email protected] 311 Research Drive Durham, North Carolina 27710 Duke University Medical Center Office: (919) 681-7371 EDUCATION: University of Maryland Baltimore County, Baltimore, MD June 1996-May 2001 Bachelor of Science in Chemical Engineering, Magna cum laude Meyerhoff Scholar Duke University Graduate School, Durham NC August 2003-March 2007 Doctor of Philosophy in Neurobiology Thesis: Electrophysiological Correlates of Neurological and Psychiatric Disease Advisor: Miguel Nicolelis Postdoctoral Research August 2007-March 2009 Duke University, Durham, NC Advisor: Miguel Nicolelis Duke University School of Medicine, Durham, NC August 2001-May 2009 Doctor of Medicine Medical Scientist Training Program Duke University Hospital, Durham, NC July 2010-June 2016 Residency, General Psychiatry North Carolina Medical License License #: 2016-02599 License Status: Active EMPLOYMENT HISTORY: K. Ranga Rama Krishnan Endowed Associate Professor with Tenure, Department of Psychiatry and Behavioral Sciences. Duke University Medical Center. Aug 2019-Current K. Ranga Rama Krishnan Endowed Associate Professor, Tenure Track, Department of Psychiatry and Behavioral Sciences. Duke University Medical Center. May 2018-July 2019 Associate Professor, Tenure Track, Department of Psychiatry and Behavioral Sciences. Duke University Medical Center. September 2017-May 2018 Assistant Professor, Tenure Track, Department of Psychiatry and Behavioral Sciences. Duke University Medical Center. December 2013-August 2017 Assistant Research Professor, Department of Neurobiology. Duke University. October 2012-Current. Assistant Professor, Department of Biomedical Engineering. Duke University. March 2012-Current. Visiting Professor of Neuroscience, Edmond and Lily Safra International Institute of Neurosciences of Natal (ELS-IINN). August 2011-2019. General Psychiatry Resident, Department of Psychiatry and Behavioral Sciences. -
Artificial Intelligence and the Singularity
Artificial Intelligence and the Singularity piero scaruffi www.scaruffi.com October 2014 - Revised 2016 "The person who says it cannot be done should not interrupt the person doing it" (Chinese proverb) Piero Scaruffi • piero scaruffi [email protected] [email protected] Olivetti AI Center, 1987 Piero Scaruffi • Cultural Historian • Cognitive Scientist • Blogger • Poet • www.scaruffi.com www.scaruffi.com 3 This is Part 5 • See http://www.scaruffi.com/singular for the index of this Powerpoint presentation and links to the other parts 1. Classic A.I. - The Age of Expert Systems 2. The A.I. Winter and the Return of Connectionism 3. Theory: Knowledge-based Systems and Neural Networks 4. Robots 5. Bionics 6. Singularity 7. Critique 8. The Future 9. Applications 10. Machine Art 11. The Age of Deep Learning www.scaruffi.com 4 Bionics Jose Delgado 5 A Brief History of Bionics 1952: Jose Delgado publishes the first paper on implanting electrodes into human brains: "Permanent Implantation of Multi-lead Electrodes in the Brain" 1957: The first electrical implant in an ear (André Djourno and Charles Eyriès) 1961: William House invents the "cochlear implant", an electronic implant that sends signals from the ear directly to the auditory nerve (as opposed to hearing aids that simply amplify the sound in the ear) 6 A Brief History of Bionics 1965 : Jose Delgado controls a bull via a remote device, injecting fear at will into the beast's brain 1969: Jose Delgado’s book "Physical Control of the Mind - Toward a Psychocivilized Society" 1969: Jose Delgado implants devices in the brain of a monkey and then sends signals in response to the brain's activity, thus creating the first bidirectional brain-machine-brain interface. -
Article (Published Version)
Article Play, attention, and learning: How do play and timing shape the development of attention and influence classroom learning? HEDGES, James H., et al. Abstract The behavioral and neurobiological connections between play and the development of critical cognitive functions, such as attention, remain largely unknown. We do not yet know how these connections relate to the formation of specific abilities, such as spatial ability, and to learning in formal environments, such as in the classroom. Insights into these issues would be beneficial not only for understanding play, attention, and learning individually, but also for the development of more efficacious systems for learning and for the treatment of neurodevelopmental disorders. Different operational definitions of play can incorporate or exclude varying types of behavior, emphasize varying developmental time points, and motivate different research questions. Relevant questions to be explored in this area include, How do particular kinds of play relate to the development of particular kinds of abilities later in life? How does play vary across societies and species in the context of evolution? Does play facilitate a shift from reactive to predictive timing, and is its connection to timing unique or particularly significant? This [...] Reference HEDGES, James H., et al. Play, attention, and learning: How do play and timing shape the development of attention and influence classroom learning? Annals of the New York Academy of Sciences, 2013, vol. 1292, no. 1, p. 1-20 DOI : 10.1111/nyas.12154 Available at: http://archive-ouverte.unige.ch/unige:91882 Disclaimer: layout of this document may differ from the published version. 1 / 1 Ann.