NeuroTechX-2027, the World Congress on Neurotechnology, Artificial Intelligence and Brain Engineering, will bring together researchers, clinicians, engineers,

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Shortform link: https://shortform.com/artem This video is based on the article https://medium.com/neurotechx/how-to-get-started-in-computational-neuroscience-dde4b1817ccd My name is Artem, I'm a computational neuroscience student and researcher. In this video I share my experience on getting started with computational neuroscience. We will talk about programming languages, learning to code, recommended textbooks and finding project ideas to practice with. Related video links: Discovering research papers: https://youtu.be/Z9C4mPR0uI4 How to read papers effectively: https://youtu.be/4yOm4kklKIA Direct practice: https://youtu.be/NuTU9YFqZqQ ---------- Coding platform: https://codeforces.com Textbooks: - https://www.amazon.com/Neuroscience-Exploring-Mark-F-Bear/dp/0781778174 - https://www.amazon.com/Principles-Neural-Science-Fifth-Kandel/dp/0071390111 - https://www.amazon.com/Brain-Inside-Out-Gy-C3-B6rgy-Buzs-C3-A1ki-dp-0190905387/dp/0190905387 - https://www.amazon.com/Theoretical-Neuroscience-Computational-Mathematical-Modeling/dp/0262541858 - https://www.amazon.com/Dynamical-Systems-Neuroscience-Excitability-Computational/dp/0262514206/ Neuroscience textbook with python exercises: https://neuronaldynamics.epfl.ch/ Linear algebra: https://youtube.com/playlist?list=PL49CF3715CB9EF31D https://youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab Open datasets: https://openneuro.org/datasets https://neuromorpho.org/ --------- OUTLINE: 0:00 Introduction 0:46 What is computational neuroscience 4:24 Necessary skills 5:42 Choosing programming language 6:50 Algorithmic thinking 8:36 Ways to practice coding 9:43 General neuroscience books 11:08 Computational neuroscience books 13:00 Mathematics resources \u0026 pitfalls 15:40 Looking of project ideas 18:59 Finding data to practice with 19:29 Final advise CREDITS: Icons by https://www.flaticon.com/ B-roll footage by https://www.pexels.com/

Expanding Function and Improving Capabilities

Expanding Function and Improving Capabilities

MeetAI London and NeurotechX want to join efforts and bring together a selected panel of experts in diverse aspects of machine learning and neuroscience. An open discussion centred around how this two fields work together, the current achievements, and the future goals and limitations.   Neuroscience and artificial intelligence are heavily related and both are living a golden age. Machine learning has been inspired by the nervous systems since its first steps. Terms such as neural networks or reinforcement learning have been borrowed from natural sciences and translated into silicon. Neuroscience is using computational methods to push the limits of what we know from the brain, retro-feeding and expanding the symbiosis between this two fields. Combining both worlds we are now able to build machines that can be controlled directly by the brain, extending the capabilities of the human body and bringing the idea of cybernetic organisms come to life. Panel Discussion: Past, Present and Future of Machine Learning x Neuroscience: Collaboration, Achievements and Limitations Panelist - Grace Lindsay (PhD at the Center for Theoretical Neuroscience at Columbia University): Grace Lindsay recently completed her PhD at the Center for Theoretical Neuroscience at Columbia University, where her research focused on modeling the neural and performance correlates of attention. Prior to that she received a Bachelors in Neuroscience from the University of Pittsburgh, and then spent a year as a research fellow at the Bernstein Center for Computational Neuroscience in Freiburg, Germany. She currently co-hosts Unsupervised Thinking, a podcast on neuroscience and artificial intelligence. Panelist - Warrick Roseboom (Human Perception Researcher): I am a researcher focusing on human perception. My current position is as Time Perception Group leader at the Sackler Centre for Consciousness Science, University of Sussex, UK. ​The Time Perception Group at Sackler is part of the six-partner EU project Timestorm, which aims to equip artificial systems with human-like temporal cognition.More generally, I am interested in how usually coherent perception can result from varying and sometimes incoherent sensory input. My research focuses on human temporal perception. Panelist - Davide Valeriani (post-doctoral researcher in Brain-Computer Interfaces (BCIs) at University of Essex): Davide is a post-doctoral researcher in Brain-Computer Interfaces (BCIs) at the University of Essex. He obtained his PhD degree from the same university in 2017, with a thesis on collaborative BCIs. His research interests are in the area of non-invasive (EEG-based), multisensory (audio-visual) BCIs to improve individual and group decision making. He uses machine learning to assess the degree of decision confidence of individuals from their brain signals and other physiological and behavioural measures. In the past, Davide has been visiting researcher at Harvard University (USA) and a machine-learning research consultant in industry. He has been a member of the Essex team that won a bronze medal in the BCI race of the Cybathlon 2016. He co-founded a startup aiming at commercialising innovative interfaces to control technologies with the eyes. Moderator - Javier Asensio (PhD in Brain Computer Interfacing of University of Essex): I’m a computer scientist with a PhD in Brain Computer Interfacing from University of Essex, after which I’ve been back and forth from industry and academia, freelancing, and from the last year as a Research/ML/Software engineer in two different start-ups. I currently work for Emotech, an AI driven company where I spend my days playing with with Olly, the first voice assistant with emotions and personality. I joined NeurotechX in order to meet other people with similar interests in terms of neuroscience and technology. Agenda: 18:15—19:00 Registration & Arrival drinks 19:00—20:00 Panel Discussion: Past, Present and Future of Machine Learning x Neuroscience: Collaboration, Achievements and Limitations 20:00—20:15 Q&A 20:00—21:00 Networking We look forward to seeing you there! Previous speakers from: Event reported by:

The field of neurotechnology stands at the cusp of a revolutionary era, with promising new therapeutics and other ways of improving quality…

Get ready to hear all about the latest about NeuroTech innovation - hosted by the Crick Science Entrepreneur Network and NeuroTechX 🧠 Follow CSEN (Crick Science Entrepreneur Network)...