BI 143 Rodolphe Sepulchre: Mixed Feedback Control

1

Introduction

00:00 • 5min

2

Control Engineers Are Really Engineering Science, Right?

04:40 • 3min

3

Is There No Room for Control Theorists and Machine Learning?

07:15 • 4min

4

Is There a Resurgence of Dynamical Systems Theory?

10:48 • 3min

5

Building a Braina

13:35 • 4min

6

Did You Look at a Neural Signal?

17:40 • 4min

7

Positive Fidback and Negative Feedback

21:57 • 2min

8

Logics and Neural Networks

23:31 • 2min

9

Design Principle Under Uncertainty

26:01 • 2min

10

Eve's Work on the Stomatogastric Gang on of the Lobster N Crab

28:29 • 2min

11

I've Had a Long Journey in My Career, I'm Thinking More About My Bisy Students and Pussos

30:45 • 4min

12

The Challenge in Modelling the Stematogastric Ganglion

34:35 • 3min

13

How Do You Think of Higher Cognitive Functions as Control?

37:37 • 2min

14

Central Pattern Generator - How to Generate a Rate Out of a Single Syle

39:08 • 5min

15

The Neuromorphic Approach to the St G

44:05 • 2min

16

Are We at the Right Level of Abstraction?

45:54 • 2min

17

How to Control a Spike

47:40 • 2min

18

Sense of Robustness in a Neural Network

49:52 • 2min

19

Is There a Theory to Handle Spikes?

52:02 • 3min

20

We Don't Need Spikes. They're Irrelevant, Right?

54:40 • 3min

21

Is There Something Besides Power Efficiency That We Can Add?

58:06 • 3min

22

Using Deep Learning Models to Understand Brains

01:01:03 • 4min

23

Is There a Convergence of Nora Science?

01:05:06 • 3min

24

Neuro Science Needs More Engineers

01:07:57 • 5min

25

I Think That We Need More Engineer in Neurau Science

01:12:37 • 2min

26

Is There a Role for Philosophy in Science?

01:14:15 • 3min

27

How Do You Know if You're Working on the Right Thing?

01:16:53 • 5min

28

Brain Inspired Podcast

01:22:00 • 3min