Recorded:
Nov 2, 2021
Uploaded:
November 9, 2021
Part of
All Captioned Videos, CBMM Research
CBMM Speaker(s):
Vivian Paulun
Visual inference of material properties like mass, compliance, elasticity or fragility is crucial to predicting and interacting with our environment. Yet, it is unclear how the brain achieves this remarkable ability. How materials move, flow, fold...
Recorded:
Oct 26, 2021
Uploaded:
October 27, 2021
Part of
All Captioned Videos, CBMM Research
CBMM Speaker(s):
Gabriel Kreiman, Jie Zheng
Gabariel Kreiman (on behalf of Jie Zheng), Children's Hospital Boston, Harvard Medical School
Abstract: The process of constructing temporal associations among related events is essential to episodic memory. However, what neural mechanism helps...
Recorded:
Oct 26, 2021
Uploaded:
October 27, 2021
Part of
All Captioned Videos, CBMM Research
CBMM Speaker(s):
Mengmi Zhang
Visual search is a ubiquitous and often challenging daily task, exemplified by looking for the car keys at home or a friend in a crowd. An intriguing property of some classical search tasks is an asymmetry such that finding a target A among...
![Embedded thumbnail for The neural architecture of language: Integrative modeling converges on predictive processing [video]](https://cbmm-mit-edu.ezproxyberklee.flo.org/sites/default/files/styles/youtube_thumbnail_220w/public/youtube/LpOaXDwP1fQ.jpg?itok=VYGl3DIK)
The neural architecture of language: Integrative modeling converges on predictive processing [video]
Recorded:
Oct 25, 2021
Uploaded:
October 25, 2021
Part of
All Captioned Videos, CBMM Research
CBMM Speaker(s):
Martin Schrimpf
Speaker(s):
Evelina Fedorenko
Graduate student Martin Schimpf (MIT/CBMM) and Prof. Evelina Fedorenko (MIT) discuss their latest publication in PNAS on predictive computational modeling and neural processing comparisons.
Recorded:
Oct 19, 2021
Uploaded:
October 20, 2021
Part of
All Captioned Videos, CBMM Research
Speaker(s):
Trenton Bricken, Harvard University
Abstract: While Attention has come to be an important mechanism in deep learning, it emerged out of a heuristic process of trial and error, providing limited intuition for why it works so well. Here, we show that Transformer Attention closely...
Recorded:
Oct 19, 2021
Uploaded:
October 20, 2021
Part of
All Captioned Videos, CBMM Research
CBMM Speaker(s):
Will Xiao
Abstract: How does the brain support our ability to see? Studies of primate vision have typically focused on controlled viewing conditions exemplified by the rapid serial visual presentation (RSVP) task, where the subject must hold fixation while...
Recorded:
Oct 5, 2021
Uploaded:
October 8, 2021
Part of
All Captioned Videos, CBMM Special Seminars
Speaker(s):
Ramin Hasani, Daniela Rus
Ramin Hasani, MIT - intro by Daniela Rus, MIT
Abstract: In this talk, we will discuss the nuts and bolts of the novel continuous-time neural network models: Liquid Time-Constant (LTC) Networks. Instead of declaring a learning system's dynamics by...
Recorded:
Apr 27, 2021
Uploaded:
October 5, 2021
Part of
All Captioned Videos, CBMM Research
CBMM Speaker(s):
Ben Deen
What is the cognitive and neural architecture of core reasoning systems for understanding people and places? In this talk, we will outline a novel theoretical framework, arguing that internal models of people and places are implemented by two...
Recorded:
Sep 28, 2021
Uploaded:
September 30, 2021
Part of
All Captioned Videos, CBMM Research
CBMM Speaker(s):
Lucas Tian
Recorded:
Sep 15, 2021
Uploaded:
September 15, 2021
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
CBMM Speaker(s):
Ila Fiete
Abstract: Episodic memory involves fragmenting the continuous stream of experience into discrete episodes. Not coincidentally, the hippocampus, which plays a central role in both episodic memory and spatial navigation, represents large spatial...