Brain Inspired

BI 148 Gaute Einevoll: Brain Simulations

Sep 25, 2022
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Episode notes
1
Introduction
00:00 • 3min
2
The Difference Between Beautiful and Ugly Models
03:26 • 2min
3
Ugly Models
05:20 • 6min
4
Is the Human Brain Project Going to End?
11:05 • 3min
5
Is There Pushback From the Neuroscience Community?
13:55 • 2min
6
A Review of the Scientific Case for Brain Simulations
15:55 • 6min
7
The Degeneracy in Neuroscience
21:36 • 2min
8
Isfot Reglan, You're a Patrand Subscriber to Podcast
23:34 • 3min
9
How Do You Extract Principles From Complex Model Simulations?
26:26 • 5min
10
A and Hen Be Able to Extract Some Principles From Comparing the Different Granularity Models
31:07 • 2min
11
Agnostic Tools
33:00 • 3min
12
Predicting Local Field Potentials of a Neural Network
35:34 • 2min
13
The History of Spikes in the Brain of an Animal
37:07 • 2min
14
The Local Field Potential Is a Spectral Measurement of the Neurons
38:42 • 2min
15
Do Lf P Signals Predict Spikes?
40:26 • 3min
16
Measurement Physics
43:17 • 5min
17
The Usefulness Form for Modelling Signals
48:31 • 2min
18
Computition Neuro Science Community Is Not So Big, Right?
50:06 • 4min
19
Synapses and Synaptic Plasticity
53:57 • 3min
20
How Do You Decide How Many Components?
56:54 • 2min
21
The Importance of Local Field Potentials in Paramidal Neurons
59:19 • 3min
22
Aspects of Forward Modeling of Electrical A, Electrical Signals
01:02:11 • 4min
23
Scaling Up Neural Field Models
01:06:08 • 5min
24
Is Local Field Potential a Way to Predict an LFP Signal?
01:10:56 • 2min
25
Neural Oscillatory Dynamics
01:12:32 • 4min
26
How to Measure a Neural Network?
01:16:26 • 2min
27
I Think It's a Fantastic Opportunity for for Newer Scinceone
01:18:21 • 3min
28
The Connection Between Deep Learning and Nervo Science
01:21:35 • 3min
29
Do You Think Simulation Based Deep Learning Could Help Artificial Intelligence?
01:24:44 • 4min