Last Modified : Sun, 24 Jan 21
ECE498-ECENeuroScience-S21
- Neural circuits and systems (Neuroscience for Engineers: Science of Brain function)
- Syllabus: Syllabus; Schedule: 498-NS, ECE 498NS: CRN 70830: Scroll down to 498-NS; UIUC Spring 2021,
Official Calendar
*Time: 11:00-11:50 AM; 3017 ECEB, zoom Neural Circuits and Systems;Office hrs: Monday, 2-4 PM, zoom
*Text: Neuroscience: A mathematical primer (Scott, 2002) pdf; Abbott &Dayan; Allen text: An invitation to mathematical physics; pdf; Basic Brain Facts
* Office Hours: Tues TBD
* Independent research, ISUR - Instructor: Prof. Jont Allen (netID jontalle; Office 3062ECEB); Tuesday 2PM Location TBD
- This week's schedule; Final: TBD
- Schedule done to here
ECE-498NS Daily Schedule Spring 2021
| Week | M | W | F |
|---|---|---|---|
| 4 | L1: 1, 3.1 (Read p. ) Intro + history; | L2: 3.1,.1,.2 (p. ) | L3: 3.1.3,.4 (p.) |
| 5 | L4: 3.2,.1,.2, B1, B3 | L5: 3.2.3 | L6: 3.2,.4,.5 |
| 6 | L7: 3.5 | L8: 3.5.1-.4 |
ECE-498NS Daily Schedule Spring 2021
| L/W | D | Date | Neuroscience for engineers--a first course |
|---|---|---|---|
| Part I: Introduction and History | |||
| 1/4 | M | 1/25 | L1: Introduction to Neuroscience for engineers; Short History: Helmholtz; Dynamics of a Nerve Impulse, Spikes and their propagation; Thermodynamic models are critical, models Read: \(\ \S \) 1.1 (Preface: pp vii-x; Ch 1: History pp 1-8) |
| 2 | W | 1/27 | L2: The structure of a nerve cell Read: \( \S \). 1.2 (p. 8-11) DNA and Genetics, Quanta Magazine articles |
| 3 | F | 1/29 | L3: Organization of the brain; Numbers and density of neurons in the human brain; Read: \( \S \) 1.3 (p. 11-19) AI and brain waves |
| 4/5 | M | 2/1 | L4: The Hierarchical Nature of Brain Dynamics; Integration of the 5 sensory inputs; Assignment: NS1: Matlab homework on the diffusion and wave equations. Due on Lec 11; pdf), Postulates For a discussion of the solution method look at my book, \(\S\) 4.8.3 (pp. 143-147). A detailed example is worked out on pages 149-151. Read: Scott Chapter 12, \( \S \) 12.1 (p. 293-300); Orexin & the Theory of weight gain/loss |
| 5 | W | 2/3 | L5: Feedback: negative vs. positive causality; Impedance and causality; Nonlinear Causality Read: 12.1.1 (p. 294-296) Solving simple differential equations |
| 6 | F | 2/5 | L6: Biological Reductionism; Objections to Reductionism; Biodiversity; Read: \( \S \) 12.1.2 (p. 296-300) |
| 7/6 | M | 2/8 | L7:Number of amino acids is immensely greater than the number that exist Read: \( \S \) 12.2-12.3 (p. 305-311) |
| 8 | W | 2/10 | L8:Cognitive Hierarchy Read: \( \S \) 1.3 (p. 11-19) |
| Week | M | W | F |
|---|---|---|---|
| 6 | L9: 3.5.5, 3.6 | ||
| 7 | L10: 3.8,.1-.4 Lec 10-360 Broken audio | Wed University Holiday --No Class-- | L11: 3.10,.1-.3 (Lec 12-360, |
| 8 | L12: 3.11,.1,.2 (Lec13-360 @13 min, | L13: (Lec14-360 @25min, Lec14-zoom, | L14: 1, 3.1 (Read pp. ) |
| 9 | L15: | L16: | L17: |
| 10 | L18: | L19: | L20: |
| 11 | L21: | L22: | L23: Exam II |
| L/W | D | Date | Neuroscience for engineers--a first course |
|---|---|---|---|
| Part II: Structure of a Neuron | |||
| 9/6 | F | 2/12 | L9: The generic neuron Assignment: NS2 pdf Due on Lec 16 Read: \( \S \) 2.1 (p. 25-28, 189, 208) |
| 10/7 | M | 2/15 | L10: Synapses Read: \( \S \) 2.3 (p. 35-40) |
| -- | W | 2/17 | University Holiday; No Class |
| 11 | F | 2/19 | L11: Neural models: McCulloch–Pitts (MP) (pdf); AI models work; Assignment: NS1 due Read: \( \S \) 2.4 (p.41-43) |
| 12/8 | M | 2/22 | L12: Real neurons (Fig. 2.1) vs. Σ-∆ codec, png Read: \( \S \) 2.4.3 (p. 44-46) |
| 13 | W | 2/24 | L13: Nerve membranes and Synaptic cleft Read: \( \S \) 3.1 (p. 49-53) |
| 14 | F | 2/26 | L14: Lipid bilayers and electrical properties (capacitance and conductance) Read: \( \S \) 3.2 (p. 50-55) |
| 15/9 | M | 2/1 | L15: --NO CLASS-- Exam I: 7-10 PM Rm 3020 |
| 16 | W | 3/3 | L16: Ionic currents (conduction, diffusion currents) Assignment: NS3 pdf, Due on Lec 22 ; NS2 Due Read: \( \S \) 3.3 (p. 56-57) |
| 17 | F | 3/5 | L17: Nernst, Plank and Einstein relations; Membrane models Resting potentials and pumps Read: \( \S \) 3.3.3 (p. 58-65) |
| 18/10 | M | 3/8 | L18: Ch. 4, Hodgkin-Huxley model; Current analysis HH model; Helmholtz measures velocity of spikes, Adrian and nerve pulses Read: \( \S \) 4.1, (p. 67-69) |
| 19 | W | 3/10 | L19: Squid Voltage patch clamp; Read: \( \S \) 4.2 (p. 70-74) |
| 20 | F | 3/12 | L20: Space clamped neruons; Read: \( \S \) 4.3 (74-77) |
| 21/11 | M | 3/15 | L21: Nonlinear diffusion (cable) equation Muscle dynamics, Guillain-barr syndrom Read: \( \S \) 4.4 (p. 77-78) |
| 22 | W | 3/17 | L22: Leading-edge nonlinear wave equation; Read: \( \S \) 4.5 (79-80, 84-87) NS3 due |
| 23 | F | 3/19 | L23: Exam II 7-10 PM ECE 3020 ECEB |
| Week | M | W | F |
|---|---|---|---|
| 12 | L24: 3.1,.1,.2 (pp. ) | Holiday --No Class-- | L25: 1, 3.1 (Read pp. ) |
| 13 | L26: 3.1,.1,.2 (pp. ) | L27: 3.1.3,.4 (p.) | L28: 1, 3.1 (Read pp. ) |
| 14 | L29: 3.1,.1,.2 (pp. ) | L30: 3.1.3,.4 (pp. ) | L31 (Read pp. ) |
| 15 | L32: 3.1,.1,.2 (pp. ) | L33: 3.1.3,.4 (pp. ) | L34 (Read pp. ) |
| 16 | L35: 3.1,.1,.2 (pp. ) | L36: 3.1.3,.4 (pp. ) | L37 (Read pp. ) |
| 17 | L38: 3.1,.1,.2 (pp. ) | L39: 3.1.3,.4 (pp. ) | L40 (Read pp. ) |
| 18 | L41: 3.1,.1,.2 (pp. ) | L42: 3.1.3,.4 (pp. ) | First day of Exams |
| L/W | D | Date | Neuroscience for engineers--a first course |
|---|---|---|---|
| Part III: Neuronal Assemblies | |||
| 24/12 | M | 3/22 | L24: Dendritic trees; Information processing Neural computation Read: \(\S\) 9.1 (p. 188-199, Fig. 9.1); \(\S\) 9.2.2 (p. 201-204) |
| -- | W | 3/24 | University Holiday --NO Class-- |
| 25 | F | 3/26 | L25: Branching; Tapered Fibers; Dendritic information processing and logic (State machines) mitrohcondrial membrane Read: \(\S\) 9.3.1 (p. 207-210); \(\S\) 9.3 (p. 206-213), 9.4 (p. 217-220) |
| 26/13 | M | 3/29 | L26: Early Evidence for Cell Assemblies Hyppocampus and memory Read: \( \S \) 11.2-11.3 (p. 261-274) |
| 27 | W | 3/31 | L27: Cell assemblies: Recent Evidence; gap junction disorders, proteins; EM micrographs Read: \( \S \) 11.5--11.8 (p. 277-282) |
| 28 | F | 4/2 | L28: Associative Network; Information processing; circuit1, circuit2, SigmaDelta, Assignment: NS5 (pdf; NS4 Due) Read: \( \S \) 10.1-10.1.1 (p. 234-237) |
| 29/14 | M | 4/5 | L29: Models of Brain Dynamics IGeneralized scalar products (Allen book \( \S \) 3.5.1, Fig 3.4Read: \( \S \) 10.1.2 (p. 237-240) |
| 30 | W | 4/7 | L30: Models of Brain Dynamics II Read: \( \S \) 10.2.2 Learning networks (Hopfield spin model) (p. 241-248) |
| 31 | F | 4/9 | L31: Field Theories for the Neocortex \(\S 9.3\) DNA information processing video, comments RNA information processing video Read: \( \S \) 9.3, 10.3 (p. 248-252) |
| 32/15 | M | 4/12 | L32: The makeup of a virus: vurlient DNA, What is a virus; Fungi can exploding ants Assignment: NS5 Due; NS6 (pdf) Read: \( \S \) 4.2 (p. 70-74) |
| 33 | W | 4/14 | L33: Attention (I); (II); speech coding process Read: \( \S \) 5.1-5-2 (p. 96-106) Leading-edge models |
| 34 | F | 4/16 | L34: Ch 5: Leading-Edge models: Fine-tuning the HH model to work off the onset of the pulse Diode model Read: \( \S \) 5.3-5.6 (p. 106-112) |
| 35/16 | M | 4/19 | L35: Recovery models: MC model Read: \( \S \) 6.1 (p. 115-122) |
| 36 | W | 4/21 | L36: FitzHugh-Nagumo (FN) neuristor simplified model Read: \( \S \) 6.2 (p. 122-129) |
| 37 | F | 4/23 | L37: Auditory systems: Mouse auditory brain map, How we can see with our ears., An example of neural auditiory signal processing How does the cochlea work?, How does the Organ of Corti work?; Structure of an FN impulse (p. 124) Assignment: NS6 Due; NS7 (pdf) Read: \( \S \) 6.3 (p. 130-136) |
| 38/17 | M | 4/26 | L38: Nonlinear cochlear signal processing and speech perception, Read: pdf, Ashmore Lecture |
| 39 | W | 4/28 | L39: Ephaptic Evidence (Robustness models). (p. 165) Read: \( \S \) 8.0-8.3 (p. 165-169) |
| 40 | F | 4/30 | L40: Virus, bactaeria, antibodies, and bacteriophages (phage, CRISPER) Short term memory Read: url |
| 41/18 | M | 5/3 | L41: Guest lecture Prof. Anu Aggerwal, Neuromorphic VLSI realization of the Hippocampal Formation, pdf Backup lecture: Modern AI and its future The brain atlas consciousness Read: \( \S \) (p. ) |
| 42 | W | 5/5 | L42: Guest Lecture: Vikor Gruev. Title: Wearable Bio-Inspired Imaging System for Image Guided Surgery Assignment: NS7 Due |
| L/W | D | Date | Neuroscience for engineers--a first course |
|---|---|---|---|
| -/18 | W | 5/5 | Instruction Ends |
| -/18 | R | 5/6 | Reading Day |
| -/18 | F | 5/7 | Final Exams |
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