BI 131 Sri Ramaswamy and Jie Mei: Neuromodulation-aware DNNs

1

Introduction

00:00 • 3min

2

How Did You Come to Be Interested in Innemodulators?

03:10 • 4min

3

How Did You Become Interested in Neuromodulation?

06:47 • 3min

4

Deep Learning Networks - Bottom Up Versus Top Down?

09:19 • 5min

5

Neural Networks - What's the Right Detail?

14:42 • 4min

6

Is the Brain Energy Efficient?

19:12 • 4min

7

Neuromodulator Function Depends on Brain State, Right?

22:47 • 3min

8

Neuromodulation - Is There Any Incentive to Do All These Two Thousand or So a Wholesale Recording?

26:06 • 3min

9

Using Deeper Networks for Neural Modeling and Computational Modeling

29:35 • 3min

10

How to Build a Neural Modulator for Deep Learning Models?

32:22 • 3min

11

Is There a New Mogulator in the Brain?

34:57 • 2min

12

Is There a New Neuromodilator for Back Propagation?

36:31 • 3min

13

Using Neuro Modulators in Deep Learning Models

39:20 • 2min

14

How Do We Know What We Don't Know?

41:11 • 4min

15

The Potential of Neural Modulation in Deep Learning?

44:49 • 4min

16

The Role of the Neuromodulator in Sleep and Wakefulness

48:56 • 5min

17

How to Scale Up to a 100-Neuron Network?

53:33 • 5min

18

Is There a New Neuro Modulator That Is Working?

58:07 • 5min

19

The Structure of the Cerebral Cortex

01:02:58 • 2min

20

The Optogenetic Approach to Neuronal Network Activity

01:04:43 • 5min

21

Nemodulation

01:09:40 • 6min

22

Neuromodulators in the Octopus?

01:15:25 • 2min

23

The Function of Neuromodulators in the Mammalian Brain

01:17:45 • 5min

24

Neuro Modilati Functions in the Mammalian Brain

01:22:24 • 2min

25

Brain Inspired - The Music You Hear Is by the New Year

01:24:24 • 2min