![Embedded thumbnail for Deep neural network models reveal interplay of peripheral coding and stimulus statistics in pitch perception [video]](https://cbmm.mit.edu/sites/default/files/styles/youtube_thumbnail_220w/public/youtube/4_Wo-OJEXZs.jpg?itok=PTdBL0VY)
Recorded:
Dec 13, 2021
Uploaded:
December 13, 2021
Part of
All Captioned Videos, Publication Releases
CBMM Speaker(s):
Mark Saddler, Josh McDermott
Perception is thought to be shaped by the environments for which organisms are optimized. These influences are difficult to test in biological organisms but may be revealed by machine perceptual systems optimized under different conditions. CBMM...
Recorded:
Dec 7, 2021
Uploaded:
December 8, 2021
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
CBMM Speaker(s):
Michale Fee
Songbird vocalizations are produced by a sparse sequence of spike bursts in a motor circuit that controls the vocal output on a fast (10ms) timescale. This sparse sequence is also transmitted to song learning circuits, presumably to control the...
![Embedded thumbnail for Selective responses to faces, scenes, and bodies in the ventral visual pathway of infants [video]](https://cbmm.mit.edu/sites/default/files/styles/youtube_thumbnail_220w/public/youtube/WlwG3CoaCAY.jpg?itok=ih_47QJQ)
Recorded:
Nov 9, 2021
Uploaded:
November 15, 2021
Part of
All Captioned Videos, Publication Releases
CBMM Speaker(s):
Heather L Kosakowski, Rebecca Saxe
MIT graduate student Heather Kosakowski and MIT Prof. Rebecca Saxe discuss their latest paper in Current Biology where they show that 2- to 9-month-old human infants have face-, scene- and body- selective responses in FFA, PPA, and EBA, respectively...
Recorded:
Nov 9, 2021
Uploaded:
November 12, 2021
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
Speaker(s):
Andrea E. Martin, Lise Meitner Group Leader, Max-Planck Institute for Psycholinguistics
Human language is a fundamental biological signal with computational properties that are markedly different than in other perception-action systems: hierarchical relationships between units (e.g., phonemes, morphemes, words, phrases), and the...
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/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...