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X-WR-CALNAME:Bordeaux Neurocampus
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X-WR-CALDESC:Events for Bordeaux Neurocampus
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DTSTART;VALUE=DATE:20241118
DTEND;VALUE=DATE:20241206
DTSTAMP:20260422T111923
CREATED:20240123T171300Z
LAST-MODIFIED:20241128T174623Z
UID:167247-1731888000-1733443199@www.bordeaux-neurocampus.fr
SUMMARY:Cajal lectures - Movement and motor control in health and disease
DESCRIPTION:The Brain Prize Course \nLectures are open to everyone. \nVenue: CARF \n\nNovember 18 – 11:00am\nSilvia Arber (Basel University\, Switzerland)\nDisentangling brainstem circuits for body movement. \nNovember 19 – 9:00am\nDavid McLean (University of Edinburgh\, UK)\nSizing up principles of recruitment during locomotion in zebrafish. \nNovember 20 – 9:00am\nSamuel Sober (Emory University\, USA)\nSpiking codes for skilled motor control. \nNovember 20 – 11:00am\nClaire Wyart (Paris Brain Institute\, France)\nOptical innovations to probe connectivity and functions of sensorimotor circuits of the brainstem and spinal cord. \nNovember 25 – 9:00am\nLora Sweeney (Institute of Science and Technology\, Austria)\nEvolution and development of swim versus limb motor circuits. \nNovember 25 – 11:00am\nJonathan Whitlock (KISN\, Norway)\nCortical integration of posture and active sensing in freely moving animals. \nNovember 28 – 9:00am\nCamille Jeunet (Bordeaux University\, France)\nBCI-based neurofeedback training procedures to restore or improve motor skills: a user-centred approach. \nNovember 28 – 11:00am\nMarie-Laure Welter (Paris Brain Institute\, France)\nUnderstanding Gait and Balance Disorders in Parkinson’s Disease: The Role of Basal Ganglia and Mesencephalic Locomotor Region Dysfunction. \nNovember 29 – 9:00am\nNicolas Mallet (Bordeaux University\, France)\nAbnormal Network Dynamics in Basal ganglia circuits during Parkinsonism: Origins and pathophysiological insights. \nDecember 2 – 9:00am\n Claire Meehan (University of Copenhagen\, Denmark)\nProbing intrinsic motoneurone excitability from mice to human. \nDecember 2 – 11:00am\nGilad Silberberg (Karolinska Institute\, Sweden)\nStriatal circuits underlying sensorimotor functions. \nDecember 3 – 9:00am\nIan Duguid (University of Edinburgh\, UK)\nNeural circuits for executing task-specific movements. \nDecember 3 – 11:00am\nRune Berg (University of Copenhagen\, Denmark)\nControl of movement by spinal circuitry: Model and population recordings. \nDecember 5 – 9:00am\nJoaquim Da Silva (Champalimaud CU\, Portugal)\nDirect and indirect pathway dynamics in dystonia. \nDecember 5 – 11:00am\nOle Kiehn (University of Copenhagen\, Denmark)\nUnraveling Brainstem Circuits for Movement: Insights into Motor Control and Implications for Treatment of Movement Disorders. \nMore details about the course\nWebsite: https://cajal-training.org/on-site/movement-and-motor-control-in-health-and-disease/ \n
URL:https://www.bordeaux-neurocampus.fr/en/event/cajal-lectures-the-brain-prize-course-movement-and-motor-control-in-health-and-disease/
CATEGORIES:Cajal Lectures,For scientists,home-event
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20241122T113000
DTEND;TZID=Europe/Paris:20241122T113000
DTSTAMP:20260422T111923
CREATED:20240903T200323Z
LAST-MODIFIED:20240910T141430Z
UID:175323-1732275000-1732275000@www.bordeaux-neurocampus.fr
SUMMARY:Friday seminar - Richard Naud
DESCRIPTION:Venue: Centre Broca \n\nRichard Naud\nUniversity of Ottawa \nRichard Naud is in one-year sabbatical in Naoya Takahashi’s team \nTitle\nA prospective code for value in the serotonin system \nAbstract\nThe in vivo responses of dorsal raphe nucleus (DRN) serotonin neurons to emotionally-salient stimuli are a puzzle. Existing theories centred on reward\, surprise\, salience\, and uncertainty individually account for some aspects of serotonergic activity but not others. Building on recent insights into the physiology of the DRN\, here we find a unifying perspective in a prospective code for value\, a quantity central to reinforcement learning theory. Our model explains why serotonin neurons are activated by both rewards and punishments\, and why these neurons are more strongly activated by surprising rewards but have no such surprise-preference for punishments\, observations that previous theories have failed to reconcile. In addition\, our model quantitatively predicts in vivo  activity fluctuations on the order of a single spike. By unifying previous theories and establishing a deep connection with reinforcement learning\, our work represents an important step towards understanding the role of serotonin in learning and behaviour. \n  \n
URL:https://www.bordeaux-neurocampus.fr/en/event/friday-seminar-richard-naud/
CATEGORIES:For scientists,home-event,Seminars
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20241122T170000
DTEND;TZID=Europe/Paris:20241122T170000
DTSTAMP:20260422T111923
CREATED:20240925T074028Z
LAST-MODIFIED:20241104T093350Z
UID:175795-1732294800-1732294800@www.bordeaux-neurocampus.fr
SUMMARY:Thesis defense - Naomi Chaix-Eichel
DESCRIPTION:Venue : Centre Broca Nouvelle-Aquitaine\nOn zoom : https://u-bordeaux-fr.zoom.us/j/82199115165\, ID meeting : 821 9911 5165 \n \nThesis defended in english \n\nNaomi Chaix\nIMN\nThesis directors : Nicolas Rougier and Thomas Boraud \nTitle\nExploring the role of neural network architecture onto decision-making processes with reservoir computing. \nAbstract\nA striking similarity exists across diverse species in the structure of certain brain regions\, strongly suggesting that they have been conserved throughout evolution. This observation raises fundamental questions about the origins of these structures and the potential for alternative ones to achieve similar cognitive functions. To address this question\, this thesis explores the relationship between brain architecture and cognitive function\, with a focus on decision-making processes. We use variants of a recurrent neural network model that is structurally minimal. The latter successfully solves simple decision tasks; however\, when applied to more complex tasks\, the model encounters performance limitations\, requiring additional structural constraints to achieve better results. We subsequently employ a genetic algorithm to evolve network structure to more complex ones\, leading us to discover multiple realizable solutions emerging through structural variations. Furthermore\, our findings reveal that identical architectures can exhibit a range of different behaviors\, leading us to investigate additional factors contributing to these behavioral differences beyond structural variations. Our analysis of the behavior of 24 monkeys living in a community reveals that social factors\, such as social hierarchy\, play a significant role in influencing behavior. \nThis thesis takes an approach that differs from traditional neuroscience methodologies. Rather than directly constructing biologically inspired architectures\, the models are designed from simple to complex structures\, reproducing the process of biological evolution. By leveraging the principles of multiple realizability\, this approach enables the evolution of diverse structural configurations that can achieve equivalent functional outcomes. \nKey words\ndecision-making\, reservoir-computing\, neural network architecture \nJury\n\n\nMme. Eleni Vasilaki – University of Sheffield\nM. Peter Dominey – University of Bourgogne\nM. Clément Moulin-Frier – INRIA Bordeaux\nMme Anne Collins -University of Berkeley\nM. Mehdi Khamassi – Sorbonne Université\nM. Thomas Boraud – IMN\nM. Nicolas P. ROUGIER – INRIA Bordeaux\n\n\n
URL:https://www.bordeaux-neurocampus.fr/en/event/soutenance-de-these-naomi-chaix/
CATEGORIES:IMN,Thesis
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