Topographic deep artificial neural network as a model of primate ventral visual stream

Topographic deep artificial neural network as a model of primate ventral visual stream

Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020

Bibliographic Details
Main Author:	Lee, Hyo-Dong.
Other Authors:	James J. DiCarlo.
Format:	Thesis
Language:	eng
Published:	Massachusetts Institute of Technology 2020
Subjects:	Electrical Engineering and Computer Science.
Online Access:	https://hdl.handle.net/1721.1/127022

Similar Items

Are Topographic Deep Convolutional Neural Networks Better Models of the Ventral Visual Stream?
by: Jozwik, Kamila Maria, et al.
Published: (2021)

Neural network modelling of the primate ventral visual pathway
by: Eguchi, A
Published: (2017)

Unsupervised neural network models of the ventral visual stream
by: Zhuang, Chengxu, et al.
Published: (2022)

Unsupervised neural network models of the ventral visual stream
by: Zhuang, Chengxu, et al.
Published: (2021)

A deep learning model of dorsal and ventral visual streams for DVSD
by: Masoumeh Zareh, et al.
Published: (2024-11-01)

How does the primate ventral visual stream causally support core object recognition?
by: Rajalingham, Rishi
Published: (2019)

Visual tasks beyond categorization for training convolutional neural networks
by: Lee, Hyo-Dong
Published: (2016)

A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex
by: Serre, T., et al.
Published: (2007)

Expectation and surprise determine neural population responses in the ventral visual stream.
by: Egner, T, et al.
Published: (2010)

Factorized visual representations in the primate visual system and deep neural networks
by: Jack W Lindsey, et al.
Published: (2024-07-01)

Fast Recurrent Processing via Ventrolateral Prefrontal Cortex Is Needed by the Primate Ventral Stream for Robust Core Visual Object Recognition
by: Kar, Kohitij, et al.
Published: (2021)

Neural dynamics at successive stages of the ventral visual stream are consistent with hierarchical error signals
by: Issa, Elias Bassam, et al.
Published: (2019)

Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition
by: Nayebi, Aran, et al.
Published: (2023)

A role for the ventral visual stream in reporting movements.
by: Farrer, C, et al.
Published: (2002)

Crossmodal Recruitment of the Ventral Visual Stream in Congenital Blindness
by: Maurice Ptito, et al.
Published: (2012-01-01)

A computational exploration of complementary learning mechanisms in the primate ventral visual pathway
by: Spoerer, C, et al.
Published: (2016)

Benchmarking models of the ventral stream
by: Ardila, Diego S.M. Massachusetts Institute of Technology
Published: (2016)

The visually guided development of facial representations in the primate ventral visual pathway: A computer modeling study
by: Eguchi, A, et al.
Published: (2016)

Robust Identification Based on Extracted Features With Visual Ventral Stream
by: Zohreh Yaghoubi, et al.
Published: (2011-04-01)

The invariance hypothesis and the ventral stream
by: Leibo, Joel Zaidspiner
Published: (2014)

Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
by: Cadieu, Charles, et al.
Published: (2014)

Deep neural networks based visual object detection in videos
by: Jin, Ruibing
Published: (2020)

Visualizing interpretations of deep neural networks
by: Ta, Quynh Nga
Published: (2023)

Visualizing interpretations of deep neural networks
by: Tan, Ryan Kang Wei
Published: (2022)

Neuronal Learning of Invariant Object Representation in the Ventral Visual Stream Is Not Dependent on Reward
by: Li, Nuo, et al.
Published: (2012)

TMS can reveal contrasting functions of the dorsal and ventral visual processing streams.
by: Ellison, A, et al.
Published: (2006)

Body-form and body-pose recognition with a hierarchical model of the ventral stream
by: Kim, Heejung, et al.
Published: (2013)

Neural adaptive video streaming with pensieve
by: Mao, Hongzi
Published: (2017)

On foveation of deep neural networks
by: Srivastava, Sanjana.
Published: (2019)

On training deep neural networks using a streaming approach
by: Duda, Piotr, et al.
Published: (2020)

Visualizing and analyzing human-centered data streams
by: Lambert, Michel Joseph
Published: (2006)

Web Phishing Classification Model using Artificial Neural Network and Deep Learning Neural Network
by: Noor Hazirah, Hassan, et al.
Published: (2023)

Topographic influences on the path of the Gulf Stream
by: Warren, Bruce Alfred, 1937-
Published: (2010)

Dorsal and ventral visual stream contributions to preserved reading ability in patients with central alexia
by: Aguilar, O, et al.
Published: (2018)

Balanced Increases in Selectivity and Tolerance Produce Constant Sparseness along the Ventral Visual Stream
by: DiCarlo, James, et al.
Published: (2013)

Dorsal and ventral stream mediated visual processing in genetic subtypes of Prader-Willi syndrome.
by: Woodcock, K, et al.
Published: (2009)

Time course of the involvement of the ventral and dorsal visual processing streams in a visuospatial task.
by: Ellison, A, et al.
Published: (2007)

Deep neural networks are lazy : on the inductive bias of deep learning
by: Mansour, Tarek,M. Eng.Massachusetts Institute of Technology.
Published: (2019)

Improved methodology for evaluating adversarial robustness in deep neural networks
by: Lee, Kyungmi,(Computer scientist)Massachusetts Institute of Technology.
Published: (2020)

Visual recognition using artificial intelligence (visual storytelling using deep learning)
by: Feng, Shihao
Published: (2020)