Embedded thumbnail for Selective responses to faces, scenes, and bodies in the ventral visual pathway of infants [video]
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...
Embedded thumbnail for Boundary conditions for language in biological and artificial neural systems
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...
Embedded thumbnail for Wobbling, drooping, bouncing - Visual perception of materials and their properties
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...
Embedded thumbnail for Neurons that structure memories of ordered experience in human
Recorded:
Oct 26, 2021
Uploaded:
October 27, 2021
Part of
All Captioned Videos, CBMM Research
CBMM Speaker(s):
Gabriel Kreiman, Jie Zhang
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...
Embedded thumbnail for Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
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]
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.
Embedded thumbnail for Attention Approximates Sparse Distributed Memory
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...
Embedded thumbnail for What you see is what IT gets: Responses in primate visual cortex during natural viewing
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...
Embedded thumbnail for Liquid Neural Networks
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...
Embedded thumbnail for Parallel systems for social and spatial reasoning within the brain's apex network
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...

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