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Neural Signal Processing Are you in the right room? • How does the brain represent and process informa<on? • How can we (experimenters) process and understand the signals that we record from the brain? introduc<ons • Instructors Jacob Robinson – “Nano-‐Neuro-‐Naut” (devices interfacing with neural circuits) Caleb Kemere – “Rat-‐Wrangler” (decoding/interac<ng with neurons in animals) • Course Asst. Paul Haugen prerequisites • Excitement about the brain • Basic probability, (random processes) • Linear algebra (comfortable with matrix/ vector mul<plica<on and concepts) • Matlab or other programming Beware – it will get harder! syllabus • • • • Office hours Websites Textbooks Expecta<ons: – Grading – Homework (where/when) – Exams – Co-‐working policy – Absences – s<ll responsible syllabus • • • • Office hours Websites Textbooks Expecta<ons: Prof. Kemere – MW 9-‐10 AM Prof. Robinson – TuTh 10:50-‐11:50 AM also by appointment! – Grading – Homework (where/when) – Exams – Co-‐working policy 2046 – Absences – s<ll responsible 2026 syllabus • • • • Office hours Websites Textbooks Expecta<ons: DSP website – assignments, lecture notes Owlspace – “closed” content, data sets, forums, e-‐submission of HW – Grading Note -‐ if you’re not enrolled, we need to give you owlspace access!! – Homework (where/when) – Exams – Co-‐working policy – Absences – s<ll responsible syllabus • • • • Office hours Websites Textbooks Expecta<ons: – Grading – Homework (where/when) – Exams – Co-‐working policy – Absences – s<ll responsible syllabus • • • • Office hours 10% -‐ Homework (about 8) 50% -‐ Mid-‐term Exams Websites 40% -‐ Final Exam Textbooks ExpectaDons: – Grading – Homework (where/when) – Exams – Co-‐working policy – Absences – s<ll responsible syllabus • • • • Office hours Turned in by 5pm on due date (late policy). Websites Submit scanned assignment on Textbooks owlspace or paper version to ExpectaDons: Prof. Robinson’s office. – Grading – Homework (where/when) – Exams – Co-‐working policy – Absences – s<ll responsible syllabus • • • • Office hours HW – work in groups, but everyone turns in their own Websites copy. Textbooks Exams – per-‐exam policy ExpectaDons: (honor code!) – Grading – Homework (where/when) – Exams – Co-‐working policy – Absences – s<ll responsible syllabus • • • • Office hours Websites Textbooks ExpectaDons: – Grading – Homework (where/when) – Exams – Co-‐working policy – Absences – you’re responsible Other classes of interest • • • • • • • • • Fund. of Cellular/Molecular Neuro (BIOC 3/585) Theore<cal Neuroscience I & II (CAAM 415 & 416) Fund. Nerve and Muscle Electrophys. (ELEC 481) Sensory Neuroengineering (BIOE 4/592) Neural Networks and Informa<on Theory (ELEC 502) Other neuro @ BCM Data Mining and Sta<s<cal Learning (STAT 640) Sta<s<cal Machine Learning (COMP 540) Computer Vision (ELEC 547) ELEC 548 Lecture 1, part 2 Fundamental neurobiology and experimental methods Clerical issues • Printed slides • Technology policy Not ok for class Ok for class Real-‐<me feedback? Coursework? Research experience? What is Neural Signal Processing? ? What is Neural Signal Processing? • How does the brain represent and process informa<on? • How can we (experimenters) process and understand the signals that we record from the brain? What can you expect to learn: Part 1 How does the brain represent and process informaOon? The organiza<on of the brain & its components How do the cells within the brain represent and transmit informa<on? Origins of electrical poten<als within cells Modeling a neuron Hodgkin-‐Huxley model Neurons transmit signals intracellularly by ac<on poten<als Patch clamp Neurons display diverse behavior Neurons transmit signals to other neurons Electrical Synapse Chemical synapse How Does a Neuron Integrate Information? Synaptic input Threshold Integrated inputs Action potentials How the brain changes Short Term Plas<city Long Term Plas<city Mechanisms of synap<c plas<city Homeosta<c plas<city Experimental Methods Throughout the course, we will briefly introduce experimental methods used to study cellular and molecular neuroscience • Electrophysiology • Imaging • Gene<c Techniques Big Picture • Why do “Neural Signal Processing” – Assis<ve/repara<ve – Interven<onal/treatment – Pharmacology development – Neuromorphic systems/circuits – Basic science • What is neural signal processing, actually? assis<ve interven<onal pharmacology neuromorphic Neural Signal Processing IRL braingate memory traces Deep brain s<mula<on canabinoid example Robbe, Buzsaki 2009 SpiNNaker project • Asynchronous-‐connected chips model ~1000 neurons ea.. Connect 50,000 chips together? hnp://spectrum.ieee.org/compu<ng/hardware/lowpower-‐chips-‐to-‐model-‐a-‐billion-‐neurons Neural Signal Processing, Actually “Encoding” model => “Decoding” algorithm Kalman Filter: hand posiOon (gaussian) neural signals (gaussian)