9: Receptive Fields - Intro to Neural Computation

  Рет қаралды 13,491

MIT OpenCourseWare

MIT OpenCourseWare

Күн бұрын

Пікірлер: 9
@aejishiba
@aejishiba 4 ай бұрын
The section on separability does not actually show any separable examples (i.e. spatially time-invariant beyond linear scaling). Though I can see how it would be easier to approximate it that way in MS PPT. Thanks
@not_amanullah
@not_amanullah Ай бұрын
this is helpful ♥️🤍
@copernicus99
@copernicus99 7 ай бұрын
THIS is how you teach neurophysiology!
@danbocker7398
@danbocker7398 8 ай бұрын
Fantastic lecture - supplements theoretical neuroscience textbook well
@dudethatsbad8541
@dudethatsbad8541 3 жыл бұрын
That’s incredible holy moly
@raajchatterjee3901
@raajchatterjee3901 2 жыл бұрын
Should the temporal receptive field operation also be correlation (not convolution) since we are not flipping the kernel? Or is the kernel already flipped?
@lex6709
@lex6709 4 ай бұрын
wonderful🤩 even though I don't understand fully
@julianray6802
@julianray6802 3 жыл бұрын
Brilliant!
@not_amanullah
@not_amanullah Ай бұрын
thanks ♥️🤍
10: Time Series - Intro to Neural Computation
1:18:53
MIT OpenCourseWare
Рет қаралды 12 М.
Stimulus Representation
25:44
Neuromatch Academy
Рет қаралды 6 М.
I attended Trump’s inauguration yesterday. Here are my thoughts.
7:01
Senator Bernie Sanders
Рет қаралды 2,9 МЛН
17: Principal Components Analysis_ - Intro to Neural Computation
1:21:19
MIT OpenCourseWare
Рет қаралды 39 М.
MIT Introduction to Deep Learning | 6.S191
1:09:58
Alexander Amini
Рет қаралды 851 М.
Sensory encoding and receptive fields
12:27
Steve Jacques
Рет қаралды 3,2 М.
Transformers (how LLMs work) explained visually | DL5
27:14
3Blue1Brown
Рет қаралды 4,4 МЛН
Introduction to Poker Theory
30:49
MIT OpenCourseWare
Рет қаралды 1,5 МЛН
How to Remember Everything You Read
26:12
Justin Sung
Рет қаралды 3,1 МЛН