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ECE-498NS Weekly Schedule Spring 2021

Part I: Lectures, Reading assignments + videos: Calendar Weeks 4-6
4L1: Read: \(\ \S \) 1.1 (Preface: pp vii-x; Ch 1: History pp 1-8)
360 Lec 1 (Starts at 6:00 mins)
L2: Read: \( \S \) 1.2 (p. 8-11)
360 Lec 2 (Starts @ 3:30 mins)
L3: Read: \( \S \) 1.3 (p. 11-19)
360 Lec 3
5L4: Read:Scott Ch. 12, \( \S \) 12.1 (p. 293-298); 360 Lec 4
Assignment: NS1: Due by Lec 11; (NS1.pdf, Gscope, Solution: (NS1-sol.pdf); Network Postulates.pdf)
L5: Read: 2.1, .2 (p. 25-31, 189, 208) Generic neurons (Fig. 2.1) Neuron, Body
360 Lec 5 (Starts @ 2:15)
L6: Read: 2.2.2-.3 (p. 31-35) Nonlinear Diffusion lines
360 Lec 6
6L7: Read: \(\S\) 2.3 (p. 35-40) Synapses & Gap junction
360 Lec 7
L8: Read: \(\S\) 10-.1.2 AI models: (pp. 233-241), Boolean Hilbert space;
360 Lec 8 (Starts @ 1:15); 360-open Lec 8
L9: Read: \(\S\) 10.2 (p. 241-248),
360-open Lec 9 (Starts @ 0:37)
L/WDDateDaily lectures
    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
2W1/27L2: The structure of a nerve cell Neuron, Body
DNA and Genetics, Quanta Magazine articles
3F1/29L3: Organization of the brain; Numbers and density of neurons in the human brain;
McCullochPitts.43.pdf; AI and brain waves;
4/5M2/1L4: The Hierarchical Nature of Brain Dynamics; Integration of the 5 main sensory inputs;
Orexin & the Theory of weight gain/loss
Assignment: NS1: Matlab homework on the diffusion and wave equations. Due by Lec 11; (pdf), Postulates
For a discussion of the solution method look at Book; \(\S\) 4.8.3 (pp. 143-147). A detailed example is discussed on pages 149-151;
5W2/3L5: The generic neuron; Σ-∆ codec, png
6F2/5L6: Nonlinear diffusion model General solution (Green's function method): Green's function method;
Transmission line (ABCD) method: Examples; Solving simple differential equations
7/6M2/8L7: Chemical synapse, gap junction, Neuron, Body, types of Neurotransmitters
8W2/10L8: McCulloch-Pitts (MP) AI neuron (model), \(\S\) 10.1.1-.2: (pp. 235-241) Boolean Hilbert space;
(M-P model; pdf); How do AI models work?)
9F2/12L9: Deep-learning concepts: STFT and fast convolution; Sejnowski.20.pdf
Assignment: NS2 (pdf, sol), Gscope, Due by Lec 14

Part II: Lectures, Reading assignments + videos: Calendar Weeks 6-11
7L10: Read: \( \S \) 3, 3.1 (p. 49-53); 360p Lec10
Holiday --No Class--
L11: Read: \( \S \) 3.2 (p. 53-55), Solution: (NS1-sol.pdf); 360 Lec 11
8L12: Read: \( \S \) 3.3 (p. 56-57); 360 Lec 12 (@1:25 min)
L13: Read: \( \S \) 3.3.3 (p. 58-60) 360 Lec 13 (Starts @ 2:30 12:19--13:19)
L14: ''Read: \( \S \) 3.4 (p. 60-63) Membrane models; 360 Lec 14 (@1:30); NS2 due
9L15: Exam I
L16: Read: \( \S \) 3.5 (p. 63-65) Na & K pumps and Nernst potentials
L17: Read: \( \S \) 4.1, (p. 67-69)
10L18: Read: \( \S \) 4.1-4.2 (p. 70-74)
L19: Read: \( \S \) 4.3 (p. 74-77)
L20: Read: \( \S \) 4.4 (p. 77-78)
11L21: Read: \( \S \) 3.4, 4.5, Fig 4.8 (60-64, 79-80, 84-88)
L22: Read: Matlab similink 2-Diode model
L23: Exam II
L/WDDateDaily lectures
    Part II: Structure of a Neuron
10/7M2/15L10: Lipid bylayers and their electro/mechanical properties Lipid bylayers, Transport mechanisms, Fun with bubbles
--W2/17 University Holiday; No Class
11F2/19L11: Electrochemical properties of membranes
Assignment: NS1 due, Solution: (NS1-sol.pdf)
12/8M2/22L12: Transmembrane currents; channel types
13W2/24L13: Einstein's relation (1905-III) and the derivation (Four 1905 papers, Princeton.edu)
14F2/26L14: Membrane two-diode (min/max) models; NS2 Due;
15/9M2/1L15: --NO CLASS-- Exam I: 8--11 AM Rm. 2017 ECEB
16W3/3L16: Ionic currents (conduction, diffusion currents), electrochemistry
Assignment: NS3 pdf, Due by Lec 22
17F3/5L17: Nernst, Plank and Einstein relations; Membrane models Resting potentials and pumps
18/10M3/8L18: Ch. 4, Hodgkin-Huxley model; Current analysis HH matlab model; Helmholtz measures velocity of spikes, Adrian and nerve pulses
19W3/10L19: Squid Voltage patch clamp;
20F3/12L20: Space clamped neruons;
21/11M3/15L21: Nonlinear diffusion (cable) equation Muscle dynamics, Neurological disorders, Guillain-Barre syndrom, Demylination disorders; Talk on neural regeneration Jan 25, NSP
22W3/17L22: Ion distribution during a spike
Diode model of spike propagation: Matlab Simlink simulaton of diode model: To run type '>>open hhmodel_V1.slx; Leading edge models: Chap. 5, p. 95
NS3 due
23F3/19L23: Exam II 8-11 AM Rm. 3017 ECEB
Part III: Lectures, Reading assignments + videos: Calendar Weeks 12-18
12L24: Read: \(\S\) 9.1 (187-199, Fig. 9.1); \(\S\) 9.2.2 (201-204)
Holiday --No Class--L25: Read: \(\S\) 9.3 (206-213), 9.4 (217-220)
13L26: Read: \( \S \) 11-.3 (258-274)
L27: Read: \( \S \) 11.5-11.8 (277-282)
L28: Read: \( \S \) 10-.1.1 (233-237)
14L29: Read: \( \S \) 10.1.2 (237-241)
L30: Read: \( \S \) 10.2.2 (241-248)
L31: Read: \( \S \) 9.3, 10.3 (248-252)
15L32: Read: \( \S \) 5.1-5-2 (96-106)
L33: Read: \( \S \) 6.1 (115-122)
L34: Read: \( \S \) 6.2 (122-129)
16L35: Read: \( \S \) 6.3 (130-136)
L36: Read: \( \S \) ??
L37: Read: \( \S \) ??
17L38: Read: pdf, Ashmore Lecture
L39: Read: \( \S \) 8.0-8.3 (165-169)); AI methods
L40: Short term memory: url
18L41: Guest Lecture
L42: Guest Lecture
Assignment: NS7 Due
First day of Exams
L/WDDateDaily Lectures
    Part III: Neuronal Assemblies
24/12M3/22L24: Dendritic trees; Information processing; Neural comutation-I, Neural computation-II
Assignment: NS4; Due Lec 28
--W3/24 University Holiday --NO Class--
25F3/26L25: Branching; Tapered Fibers; Dendritic information processing and logic (State machines); mitrohcondrial membrane; BackProbTraining
26/13M3/29L26: Early Evidence for Cell Assemblies Hyppocampus and memory
27W3/31L27: Cell assemblies: Recent Evidence; gap junction disorders, proteins; EM micrographs
28F4/2L28: Associative Network; Information processing; circuit1, circuit2, SigmaDelta, Role of vital signs
Assignment: NS5 (pdf); NS4 Due
29/14M4/5L29: Models of Brain Dynamics I; Generalized scalar products (Allen book \( \S \) 3.5.1, Fig 3.4); Start @ 6 min, Where does thirst come from?
30W4/7L30: Models of Brain Dynamics II
31F4/9L31: Field Theories for the Neocortex \(\S 9.3\)
DNA information processing video, comments
RNA information processing video
32/15M4/12L32: The makeup of a virus: vurlient DNA, What is a virus;
Fungi can exploding ants
Assignment: NS6 (pdf) NS5 Due
33W4/14L33: Attention (I); (II);
speech coding process
34F4/16L34: Ch 5: Leading-Edge models: Fine-tuning the HH model to work off the onset of the pulse Diode model V0, Similink model V1, Similink output V1
35/16M4/19L35: Recovery models: MC model
36W4/21L36: FitzHugh-Nagumo (FN) neuristor simplified model Structure of an FN impulse (p. 124)
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?;Assignment: NS7 (pdf); NS6 Due
38/17M4/26L38: Nonlinear cochlear signal processing and speech perception,
39W4/28L39: Ephaptic Evidence (Robustness models). (p. 165)
40F4/30L40: Virus, bactaeria, antibodies, and bacteriophages (phage, CRISPER, Significance (Start at 29:30)), Calcium and short term memory
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
42W5/5L42: Guest Lecture: Vikor Gruev. Title: Wearable Bio-Inspired Imaging System for Image Guided Surgery
Assignment: NS7 Due
-/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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