ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1901.00945
  4. Cited By
A Unified Theory of Early Visual Representations from Retina to Cortex
  through Anatomically Constrained Deep CNNs

A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs

3 January 2019
Jack W Lindsey
Samuel A. Ocko
Surya Ganguli
Stéphane Deny
ArXivPDFHTML

Papers citing "A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs"

6 / 6 papers shown
Title
Training Large Neural Networks With Low-Dimensional Error Feedback
Training Large Neural Networks With Low-Dimensional Error Feedback
Maher Hanut
Jonathan Kadmon
50
1
0
27 Feb 2025
Deep Continuous Networks
Deep Continuous Networks
Nergis Tomen
S. Pintea
Jan van Gemert
94
14
0
02 Feb 2024
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
84
2,302
0
04 Mar 2021
Learning to Learn with Feedback and Local Plasticity
Learning to Learn with Feedback and Local Plasticity
Jack W Lindsey
Ashok Litwin-Kumar
CLL
34
32
0
16 Jun 2020
Convolutional Neural Networks as a Model of the Visual System: Past,
  Present, and Future
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
Grace W. Lindsay
MedIm
35
424
0
20 Jan 2020
LGN-CNN: a biologically inspired CNN architecture
LGN-CNN: a biologically inspired CNN architecture
F. Bertoni
G. Citti
A. Sarti
22
22
0
14 Nov 2019
1