44:42

The Debate Over “Understanding” in AI’s Large Language Models

55:25

Physical and Social Human-Robot Interaction with the iCub Humanoid

46:13

Bayes in the age of intelligent machines

56:32

How fly neurons compute the direction of visual motion

02:58

fMRI Scanning at MIT - For infants

01:00:42

An overview of Generative AI: music, video and image creation

56:26

Dense Associative Memory in Machine Learning

59:01

The Assembly Hypothesis:Emergent Computation and Learning in a rigorous model of the Brain

59:06

Navigating Progress in AI and Neuroscience

04:57

A ubiquitous spectrolaminar motif of local field potential power across the primate cortex

01:06

How can we study signals from the human brain?

01:21

How can looking at a heart's electrical signals save lives?

56:14

The Simplest Neural Model and a Hypothesis for Language

47:22

Statistical learning in human sensorimotor control

01:27:21

CBMM10 Panel: Research on Intelligence in the Age of AI

59:38

Mindgames

01:15:46

Building and Training Deep Learning Models in PyTorch

01:26:19

CBMM10 Panel: Interacting with the physical world

01:26:35

CBMM10 Panel: Neuroscience to AI and back again

01:41:17

CBMM10 Panel: Language and Thought

20:47

CBMM after 10 years — the Quest now (James DiCarlo)

30:25

CBMM10: CBMM after 10 years — the Quest now (Tomaso Poggio)

01:05:58

CBMM10: CBMM after 10 years — the Quest now

06:49

CBMM10: Welcome

01:00

CBMM10 - Christof Koch

56:19

Using Embodied AI to help answer”why” questions in systems neuroscience

01:08:15

Hippocampal memory, cognition, and the role of sleep (part 2)

01:23

CBMM10 - Charles Isbell

01:22

Can we change someone's emotions by showing them a picture?

01:05:54

Hippocampal memory, cognition, and the role of sleep (part 1)

01:01:05

Stochastic collapse AND (explainable AI/neuro OR beating power laws)

01:01:32

Introduction to Deep Learning Theory

58:24

Coding of space and time in cortical structures

00:35

CBMM10 - Amnon Shashua

59:47

On the Role of Neural Collapse in Few-Shot Transfer Learning

00:39

CBMM10 - Marc Raibert

01:02:35

Towards Understanding Deep Classifiers through Neural Collapse

01:12:05

Foundations of ML: are deep sparse networks the ultimate answer?

01:02:57

Deciphering the Dynamics of the Unconscious Brain under General Anesthesia

01:21:47

Welcome & Introduction

01:10:36

A Fruitful Reciprocity: The Neuroscience-AI Connection

03:01

Opinion: Sprouting for elementary school teachers and their students

06:29

Participante de la mentoria virtual de investigacion

06:33

Space Debris Literature Analysis

34:19

Opciones de crecimiento profesional y empresarial en el campo de la micologia

27:32

Parasitologia Ecologica en Puerto Rico

26:28

Artificial Neural Networkand Neuroplasticity

05:33

Factores de Riesgo Relacionados al Cancer

19:45

Investigacion y Superandola Adversidad

35:15

Investigacion

28:29

Historias en la Ciencia:Cosas que me han pasaso a mi,te pueden pasar a ti tambien

16:44

La Nariz Delatora: Como to nos puedes ayudar a comprender la perdida del olfato relacionada con...

21:40

Electron+Corriente+Ondas

29:59

Microscopia de Flourescencia: El microscopio como una herramienta de trabajo

14:01

What you make of it

22:00

Neptuno: Be cool, we're future proof.

06:42

Sprouting: Bienvenida

01:03:15

Photographic Image Priors in the Era of Machine Learning

02:55

Sprouting a STEM Community in Puerto Rico

01:00:33

Improving Deep Reinforcement Learning via Quality Diversity, Open-Ended and AI-Generating Algorithms