Last Modified : Sun, 28 Mar 21

- Engineering Neuroscience
- Syllabus: Syllabus; Schedule: 498-NS, ECE: Scroll down to 498-NS; UIUC Calendar

*Time: 11:00-11:50 AM; 3020 ECEB; Neural Circuits and Systems;Office hrs: Monday, 2-4 PM, 3081 ECEB

*Text:**Neuroscience: A mathematical primer (Scott, 2002)**pdf;

zoom recordings ~/Documents/Zoom/498NS-Lecs_2-8_2021

Allen text:**An invitation to mathematical physics**; pdf; Basic Brain Facts

* Office Hours: Tues TBD

*Instructor: Prof. Jont Allen (netID jontalle; Office 3062ECEB); Tuesday 2PM Location TBD - This week's schedule; Final: TBD

L/W | D | Date | Neuroscience for engineers--a first course |
---|---|---|---|

Part I: Introduction and History | |||

-/4 | M | 1/20 | Instruction begins |

- | M | 1/20 | L1: MLK day (Holiday) |

1 | W | 1/22 | L1: Introduction to Neuroscience for engineers; Some History;Dynamics of a Nerve Impulse zoom recordings ~/Documents/Zoom/498NS-Lecs_2-8_2021 Read: \(\ \S \) 1.1 (p. 1-8); DNA and Genetics |

2 | F | 1/24 | L2: The structure of a nerve cell Read: \( \S \). 1.2 (p. 8-11); Orexin & the Theory of weight gain/loss |

3/5 | M | 1/27 | 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 | W | 1/29 | L4: The Hierarchical Nature of Brain Dynamics; Integration of the 5 sensory inputs;Assignment: NS1 Matlab homework assignment on solving the diffusion and wave equation (Postulates, NS1);For a discussion of the method, look at my book, \(\S\) 4.8.3 (p. 167). An example is worked out on pages 111-113. Read: Scott Chapter 12, \( \S \) 12.1 (p. 293-294); Solving simple differential equations |

5 | F | 1/31 | L5: Feedback: negative vs. positive causality; Impedance and causality; Nonlinear CausalityRead: 12.1.1 (p. 298-305) |

6/6 | M | 2/3 | L6: Biological Reductionism; Objections to Reductionism; Biodiversity;Guest Lect 1 (Allen out of town) Read: \( \S \) 12.1.2 (p. 296-298) |

7 | W | 2/5 | L7:Number of amino acids is immensely greater than the number that existGuest Lect 2 Read: \( \S \) 12.2 (p. 305-309) |

L/W | D | Date | Neuroscience for engineers--a first course |
---|---|---|---|

Part II: Structure of a Neuron | |||

8 | F | 2/7 | L8:Cognitive HierarchyGuest Lect 3 Adiction to Caffine Read: \( \S \) 1.3 (p. 11-19) |

9/7 | M | 2/10 | L9: The generic neuron Assignment: NS2, Due Feb 19, 2020 NS2Read: \( \S \) 2.1 (p. 25-28, 189, 208) |

10 | W | 2/12 | L10: Synapses Read: \( \S \) 2.3 (p. 35-40) |

11 | F | 2/14 | L11: Neural models: McCulloch–Pitts (MP) (pdf); AI models work; NS1 due Read: \( \S \) 42.4.2 (p.41-43) |

12/8 | M | 2/17 | L12: Real neurons (Fig. 2.1) vs. Σ-∆ codec, pngRead: \( \S \) 2.4.3 (p. 44-46) |

13 | W | 2/19 | L13: Nerve membranesRead: \( \S \) 3.1 (p. 49-53) NS2 due |

14 | F | 2/21 | L14: Lipid bilayers and electrical properties (capacitance and conductance)Read: \( \S \) 3.2 (p. 53-55) |

15/9 | M | 2/24 | L15: Review for Exam I |

15/10 | Tu | 2/25 | Exam I 7-10 PM Rm 3020 |

16 | W | 2/26 | L16: Ionic currents (conduction, diffusion currents) Assignment NS3 (pdf) Read: \( \S \) 3.3 (p. 56-57) |

17 | F | 2/28 | L17: Nernst, Plank and Einstein relations; Membrane models Resting potentials and pumpsRead: \( \S \) 3.3.3 (p. 58-65) |

18/10 | M | 3/2 | L18: Ch. 4, Hodgkin-Huxley model; Current analysis HH modelRead: \( \S \) 4.1, (p. 67-69) |

19 | W | 3/4 | L19: Squid Voltage patch clamp;Read: \( \S \) 4.2 (p. 70-74) |

20 | F | 3/5 | L20: Space clamped neruons;Allen out of town; no class Read: \( \S \) 4.3 (74-77) |

21/11 | M | 3/9 | L21: Nonlinear diffusion (cable) equation Guillain-barr syndromRead: \( \S \) 4.4 (p. 77-78) |

22 | W | 3/11 | L22: Leading-edge nonlinear wave equation;Read: \( \S \) 4.5 (79-80, 84-87)NS3 due |

23 | F | 3/13 | L23: Exam II 7-10 PM ECE 3020 ECEB |

- | S | 3/14 | SPRING BREAK |

L/W | D | Date | Neuroscience for engineers--a first course |
---|---|---|---|

Part III: Neuronal Assemblies | |||

24/13 | M | 3/23 | L24: Dendritic trees; Information processing Neural computation Read: \(\S\) 9.1 (p. 188-199, Fig. 9.1); \(\S\) 9.2.2 (p. 201-204);Assignment: IP1 (in the works) |

25 | W | 3/25 | 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 | F | 3/27 | L26: Early Evidence for Cell Assemblies Hyppocampus and memoryRead: \( \S \) 11.2-11.3 (p. 261-274) |

27/14 | M | 3/30 | L27: Cell assemblies: Recent Evidence; proteins; EM micrographsAssignment: IP2 (in the works); IP1 due Read: \( \S \) 11.5--11.8 (p. 277-282) |

28 | W | 4/1 | L28: Associative Network; Information processing; circuit1, circuit2, SigmaDelta,Read: \( \S \) 10.1-10.1.1 (p. 234-237) |

29 | F | 4/3 | L29: Models of Brain Dynamics IGeneralized scalar products (Allen book \( \S \) 3.5.1, Fig 3.4Read: \( \S \) 10.1.2 (p. 237-240) |

30/15 | M | 4/6 | L30: Models of Brain Dynamics II Read: \( \S \) 10.2.2 Learning networks (Hopfield spin model) (p. 241-248)Assignment: IP3; IP2 Due |

31 | W | 4/8 | 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 | F | 4/10 | L32: The makeup of a virus: vurlient DNA, What is a virus;Fungi can exploding ants Read: \( \S \) 4.2 (p. 70-74) |

33/16 | M | 4/13 | L33: Attention (I); (II);speech coding process Read: \( \S \) 5.1-5-2 (p. 96-106) Leading-edge models VC2 Due |

34 | W | 4/15 | L34: Ch 5: Leading-Edge models: Fine-tuning the HH model to work off the onset of the pulse Diode modelRead: \( \S \) 5.3-5.6 (p. 106-112) |

35 | F | 4/17 | L35: Recovery models: MC model Read: \( \S \) 6.1 (p. 115-122) |

36/17 | M | 4/20 | L36: FitzHugh-Nagumo (FN) neuristor simplified model Read: \( \S \) 6.2 (p. 122-129) |

37 | W | 4/22 | L37: How does the cochlea work? (pdf, pdf);Structure of an FN impulse (p. 124) Read: \( \S \) 6.3 (p. 130-136) |

38 | F | 4/24 | L38: Nonlinear cochlear signal processing and speech perception,Read: pdf, Ashmore Lecture |

39/18 | M | 4/27 | L39: Ephaptic Evidence (Robustness models). (p. 165) Read: \( \S \) 8.0-8.3 (p. 165-169) |

40 | W | 4/29 | L40: Virus, bactaeria, antibodies, and bacteriophages (phage, CRISPER)Short term memory Read: url |

41 | F | 5/1 | L41: Guest lecture Prof. Anu Aggerwal, Neuromorphic VLSI realization of the Hippocampal Formation, pdfBackup lecture: Modern AI and its future The brain atlas consciousness Read: \( \S \) (p. ) |

42/18 | M | 5/4 | L42: review of bookRead: \( \S \) (p. ) |

43 | W | 5/6 | L43: Guest Lecture: Vikor Gruev. Title: Wearable Bio-Inspired Imaging System for Image Guided SurgeryRead: \( \S \) (p. ) |

L/W | D | Date | Neuroscience for engineers--a first course |
---|---|---|---|

-/19 | W | 5/6 | Instruction Ends |

-/19 | R | 5/7 | Reading Day |

-/20 | F | 5/15 | Final paper due last day of exams |

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