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ECE498-ECENeuroScience-S21

ECE-498NS Daily Schedule Spring 2021

Reading assignments + videos: Neuroscience for Engineers (Weeks 4-6)
WeekMWF
4L1: Read: \(\ \S \) 1.1 (Preface: pp vii-x; Ch 1: History pp 1-8) 360 Lec 1L2: Read: \( \S \) 1.2 (p. 8-11)L3: Read: \( \S \) 1.3 (p. 11-19)
5L4: Read: Ch. 12, \( \S \) 12.1 (p. 293-300);L5: Read: 12.1.1 (p. 294-296)L6: Read: \( \S \) 12.1.2 (p. 296-300)
6L7: Read: \( \S \) 12.2-12.3 (p. 305-311)L8: Read: \( \S \) 1.3 (p. 11-19) 

ECE-498NS Daily Schedule Spring 2021

L/WDDateNeuroscience for engineers--a first course
    Part I: Introduction and History
1/4M1/25L1: 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)
2W1/27L2: The structure of a nerve cell
Read: \( \S \). 1.2 (p. 8-11)
DNA and Genetics, Quanta Magazine articles
3F1/29L3: Organization of the brain; Numbers and density of neurons in the human brain;
Read: \( \S \) 1.3 (p. 11-19)
AI and brain waves
4/5M2/1L4: 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
5W2/3L5: Feedback: negative vs. positive causality; Impedance and causality; Nonlinear Causality
Read: 12.1.1 (p. 294-296)
Solving simple differential equations
6F2/5L6: Biological Reductionism; Objections to Reductionism; Biodiversity;
Read: \( \S \) 12.1.2 (p. 296-300)
7/6M2/8L7:Number of amino acids is immensely greater than the number that exist
Read: \( \S \) 12.2-12.3 (p. 305-311)
8W2/10L8:Cognitive Hierarchy
Read: \( \S \) 1.3 (p. 11-19)
Reading assignments + videos: Neuroscience for Engineers (Weeks 6-14)
WeekMWF
6  L9: 3.5.5, 3.6
7L10: 3.8,.1-.4 Lec 10-360 Broken audioWed University Holiday --No Class--L11: 3.10,.1-.3 (Lec 12-360,
8L12: 3.11,.1,.2 (Lec13-360 @13 min,L13: (Lec14-360 @25min, Lec14-zoom,L14: 1, 3.1 (Read pp. )
9L15:L16:L17:
10L18:L19:L20:
11L21:L22:L23: Exam II
L/WDDateNeuroscience for engineers--a first course
    Part II: Structure of a Neuron
9/6F2/12L9: The generic neuron
Assignment: NS2 pdf Due on Lec 16
Read: \( \S \) 2.1 (p. 25-28, 189, 208)
10/7M2/15L10: Synapses
Read: \( \S \) 2.3 (p. 35-40)
--W2/17 University Holiday; No Class
11F2/19L11: Neural models: McCulloch–Pitts (MP) (pdf);
AI models work;
Assignment: NS1 due
Read: \( \S \) 2.4 (p.41-43)
12/8M2/22L12: Real neurons (Fig. 2.1) vs. Σ-∆ codec, png
Read: \( \S \) 2.4.3 (p. 44-46)
13W2/24L13: Nerve membranes and Synaptic cleft
Read: \( \S \) 3.1 (p. 49-53)
14F2/26L14: Lipid bilayers and electrical properties (capacitance and conductance)
Read: \( \S \) 3.2 (p. 50-55)
15/9M2/1L15: --NO CLASS-- Exam I: 7-10 PM Rm 3020
16W3/3L16: Ionic currents (conduction, diffusion currents)
Assignment: NS3 pdf, Due on Lec 22 ; NS2 Due
Read: \( \S \) 3.3 (p. 56-57)
17F3/5L17: Nernst, Plank and Einstein relations; Membrane models Resting potentials and pumps
Read: \( \S \) 3.3.3 (p. 58-65)
18/10M3/8L18: 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)
19W3/10L19: Squid Voltage patch clamp;
Read: \( \S \) 4.2 (p. 70-74)
20F3/12L20: Space clamped neruons;
Read: \( \S \) 4.3 (74-77)
21/11M3/15L21: Nonlinear diffusion (cable) equation Muscle dynamics, Guillain-barr syndrom
Read: \( \S \) 4.4 (p. 77-78)
22W3/17L22: Leading-edge nonlinear wave equation;
Read: \( \S \) 4.5 (79-80, 84-87)
NS3 due
23F3/19L23: Exam II 7-10 PM ECE 3020 ECEB
Reading assignments + videos: Neuroscience for Engineers (Weeks 4-6)
WeekMWF
12L24: 3.1,.1,.2 (pp. ) Holiday --No Class--L25: 1, 3.1 (Read pp. )
13L26: 3.1,.1,.2 (pp. )L27: 3.1.3,.4 (p.)L28: 1, 3.1 (Read pp. )
14L29: 3.1,.1,.2 (pp. )L30: 3.1.3,.4 (pp. )L31 (Read pp. )
15L32: 3.1,.1,.2 (pp. )L33: 3.1.3,.4 (pp. )L34 (Read pp. )
16L35: 3.1,.1,.2 (pp. )L36: 3.1.3,.4 (pp. )L37 (Read pp. )
17L38: 3.1,.1,.2 (pp. )L39: 3.1.3,.4 (pp. )L40 (Read pp. )
18L41: 3.1,.1,.2 (pp. )L42: 3.1.3,.4 (pp. ) First day of Exams
L/WDDateNeuroscience for engineers--a first course
    Part III: Neuronal Assemblies
24/12M3/22L24: Dendritic trees; Information processing
Neural computation
Read: \(\S\) 9.1 (p. 188-199, Fig. 9.1); \(\S\) 9.2.2 (p. 201-204)
--W3/24 University Holiday --NO Class--
25F3/26L25: 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)
26/13M3/29L26: Early Evidence for Cell Assemblies Hyppocampus and memory
Read: \( \S \) 11.2-11.3 (p. 261-274)
27W3/31L27: Cell assemblies: Recent Evidence; gap junction disorders, proteins; EM micrographs
Read: \( \S \) 11.5--11.8 (p. 277-282)
28F4/2L28: Associative Network; Information processing; circuit1, circuit2, SigmaDelta,
Assignment: NS5 (pdf; NS4 Due)
Read: \( \S \) 10.1-10.1.1 (p. 234-237)
29/14M4/5L29: Models of Brain Dynamics IGeneralized scalar products (Allen book \( \S \) 3.5.1, Fig 3.4Read: \( \S \) 10.1.2 (p. 237-240)
30W4/7L30: Models of Brain Dynamics II Read: \( \S \) 10.2.2 Learning networks (Hopfield spin model) (p. 241-248)
31F4/9L31: 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)
32/15M4/12L32: 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)
33W4/14L33: Attention (I); (II);
speech coding process
Read: \( \S \) 5.1-5-2 (p. 96-106) Leading-edge models
34F4/16L34: 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)
35/16M4/19L35: Recovery models: MC model
Read: \( \S \) 6.1 (p. 115-122)
36W4/21L36: FitzHugh-Nagumo (FN) neuristor simplified model
Read: \( \S \) 6.2 (p. 122-129)
37F4/23L37: 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)
38/17M4/26L38: Nonlinear cochlear signal processing and speech perception,
Read: pdf, Ashmore Lecture
39W4/28L39: Ephaptic Evidence (Robustness models). (p. 165)
Read: \( \S \) 8.0-8.3 (p. 165-169)
40F4/30L40: Virus, bactaeria, antibodies, and bacteriophages (phage, CRISPER)
Short term memory
Read: url
41/18M5/3L41: 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. )
42W5/5L42: Guest Lecture: Vikor Gruev. Title: Wearable Bio-Inspired Imaging System for Image Guided Surgery
Assignment: NS7 Due

L/WDDateNeuroscience for engineers--a first course
-/18W5/5 Instruction Ends
-/18R5/6 Reading Day
-/18F5/7 Final Exams

 ||- || F || 5/?? ||  Backup: Exam III 7:00-10:00+ PM on HW1-HW11atest>><<

L= Lecture #
T= Topic #
W=week of the year, starting from Jan 1
D=day: T is Tue, W Wed, R Thur, S Sat, etc.
Each exam (I, II and Final paper) will count as 30% of your final grade, while the Assignments (NS1-DE3) plus class participation (Prof's Discuression), count for 10%. Please return the final paper by the end of the exam period.


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