Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1903.05946
Cited By
v1
v2 (latest)
Recurrence is required to capture the representational dynamics of the human visual system
14 March 2019
Tim C Kietzmann
Courtney J. Spoerer
Lynn K. A. Sörensen
Radoslaw Martin Cichy
O. Hauk
N. Kriegeskorte
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Recurrence is required to capture the representational dynamics of the human visual system"
50 / 61 papers shown
Foundation and Large-Scale AI Models in Neuroscience: A Comprehensive Review
Shihao Yang
Xiying Huang
Danilo Bernardo
J. Ding
Andrew Michael
Jingmei Yang
Patrick Kwan
Ashish Raj
Feng Liu
AI4CE
231
2
0
18 Oct 2025
Sensory robustness through top-down feedback and neural stochasticity in recurrent vision models
Antonino Greco
Marco DÁlessandro
Karl J. Friston
G. Pezzulo
Markus Siegel
163
0
0
09 Aug 2025
Investigating Fine- and Coarse-grained Structural Correspondences Between Deep Neural Networks and Human Object Image Similarity Judgments Using Unsupervised Alignment
Neural Networks (NN), 2025
Soh Takahashi
Masaru Sasaki
Ken Takeda
Masafumi Oizumi
252
4
0
22 May 2025
From Language to Cognition: How LLMs Outgrow the Human Language Network
Badr AlKhamissi
Greta Tuckute
Yingtian Tang
Taha Binhuraib
Antoine Bosselut
Martin Schrimpf
ALM
1.1K
23
0
03 Mar 2025
Language learning shapes visual category-selectivity in deep neural networks
Zitong Lu
Yuxin Wang
278
0
0
23 Feb 2025
A recurrent vision transformer shows signatures of primate visual attention
bioRxiv (bioRxiv), 2025
Jonathan Morgan
Badr Albanna
James P. Herman
294
0
0
16 Feb 2025
Brain-like emergent properties in deep networks: impact of network architecture, datasets and training
Niranjan Rajesh
Georgin Jacob
SP Arun
OOD
518
1
0
25 Nov 2024
Universal dimensions of visual representation
Science Advances (Sci Adv), 2024
Zirui Chen
Michael F. Bonner
162
14
0
23 Aug 2024
Teaching CORnet Human fMRI Representations for Enhanced Model-Brain Alignment
Zitong Lu
Yile Wang
242
5
0
15 Jul 2024
Spiking representation learning for associative memories
Naresh B. Ravichandran
A. Lansner
Pawel Herman
340
3
0
05 Jun 2024
Understanding the Role of Pathways in a Deep Neural Network
Lei Lyu
Chen Pang
Jihua Wang
266
5
0
28 Feb 2024
NeuralDiffuser: Neuroscience-inspired Diffusion Guidance for fMRI Visual Reconstruction
Haoyu Li
Hao Wu
Badong Chen
461
2
0
21 Feb 2024
Achieving More Human Brain-Like Vision via Human EEG Representational Alignment
Zitong Lu
Yile Wang
Julie D. Golomb
251
5
0
30 Jan 2024
How does the primate brain combine generative and discriminative computations in vision?
Benjamin Peters
J. DiCarlo
Todd Gureckis
Ralf Haefner
Leyla Isik
...
Kimberly Stachenfeld
Zenna Tavares
Doris Y. Tsao
Ilker Yildirim
N. Kriegeskorte
299
10
0
11 Jan 2024
Duality of Bures and Shape Distances with Implications for Comparing Neural Representations
Sarah E. Harvey
Brett W. Larsen
Alex H. Williams
314
20
0
19 Nov 2023
Brain-like Flexible Visual Inference by Harnessing Feedback-Feedforward Alignment
Tahereh Toosi
Elias B. Issa
258
4
0
31 Oct 2023
Getting aligned on representational alignment
Ilia Sucholutsky
Lukas Muttenthaler
Adrian Weller
Andi Peng
Andreea Bobu
...
Thomas Unterthiner
Andrew Kyle Lampinen
Klaus-Robert Muller
M. Toneva
Thomas Griffiths
396
157
0
18 Oct 2023
HB-net: Holistic bursting cell cluster integrated network for occluded multi-objects recognition
Xudong Gao
Xiao Guang Gao
Jia Rong
Xiaowei Chen
Xiang Liao
Jun Chen
113
0
0
18 Oct 2023
Estimating Shape Distances on Neural Representations with Limited Samples
International Conference on Learning Representations (ICLR), 2023
Dean A. Pospisil
Brett W. Larsen
Sarah E. Harvey
Alex H. Williams
311
5
0
09 Oct 2023
The Topology and Geometry of Neural Representations
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2023
Baihan Lin
N. Kriegeskorte
323
21
0
20 Sep 2023
Characterising representation dynamics in recurrent neural networks for object recognition
Sushrut Thorat
Adrien Doerig
Tim C Kietzmann
242
5
0
23 Aug 2023
Consciousness in Artificial Intelligence: Insights from the Science of Consciousness
Patrick Butlin
R. Long
Eric Elmoznino
Yoshua Bengio
Jonathan C. P. Birch
...
L. Mudrik
Megan A. K. Peters
Eric Schwitzgebel
Jonathan Simon
Rufin VanRullen
LLMAG
429
212
0
17 Aug 2023
Improving visual image reconstruction from human brain activity using latent diffusion models via multiple decoded inputs
Yu Takagi
Shinji Nishimoto
AI4CE
DiffM
298
39
0
20 Jun 2023
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities
Neural Information Processing Systems (NeurIPS), 2023
Jingyuan Sun
Mingxiao Li
Zijiao Chen
Yunhao Zhang
Shaonan Wang
Marie-Francine Moens
DiffM
563
51
0
26 May 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?
Annual Review of Vision Science (ARVS), 2023
Felix Wichmann
Robert Geirhos
313
45
0
26 May 2023
Generate your neural signals from mine: individual-to-individual EEG converters
Annual Meeting of the Cognitive Science Society (CogSci), 2023
Zitong Lu
Julie D. Golomb
280
11
0
21 Apr 2023
Building artificial neural circuits for domain-general cognition: a primer on brain-inspired systems-level architecture
Jascha Achterberg
Danyal Akarca
Moataz Assem
Moritz P. Heimbach
D. Astle
John Duncan
AI4CE
216
5
0
21 Mar 2023
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse
AAAI Conference on Artificial Intelligence (AAAI), 2023
Li-Wen Huang
Zhengyu Ma
Liutao Yu
Huihui Zhou
Yonghong Tian
512
15
0
09 Mar 2023
DNArch: Learning Convolutional Neural Architectures by Backpropagation
David W. Romero
Neil Zeghidour
AI4CE
226
4
0
10 Feb 2023
Harmonizing the object recognition strategies of deep neural networks with humans
Neural Information Processing Systems (NeurIPS), 2022
Thomas Fel
Ivan Felipe
Drew Linsley
Thomas Serre
433
103
0
08 Nov 2022
Visual representations in the human brain are aligned with large language models
Adrien Doerig
Tim C Kietzmann
Emily J. Allen
Yihan Wu
Thomas Naselaris
Kendrick Norris Kay
I. Charest
209
29
0
23 Sep 2022
Net2Brain: A Toolbox to compare artificial vision models with human brain responses
Domenic Bersch
Kshitij Dwivedi
Martina G. Vilas
Radoslaw Martin Cichy
Gemma Roig
305
9
0
20 Aug 2022
Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition
International Conference on Machine Learning, Optimization, and Data Science (MOD), 2022
Naresh B. Ravichandran
A. Lansner
Pawel Herman
288
4
0
30 Jun 2022
Guiding Visual Attention in Deep Convolutional Neural Networks Based on Human Eye Movements
Frontiers in Neuroscience (Front. Neurosci.), 2022
Leonard E. van Dyck
Sebastian J. Denzler
W. Gruber
183
10
0
21 Jun 2022
SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks
Ajay Subramanian
Sara A. Price
Omkar Kumbhar
E. Sizikova
N. Majaj
D. Pelli
161
1
0
16 Jun 2022
Human Eyes Inspired Recurrent Neural Networks are More Robust Against Adversarial Noises
Neural Computation (Neural Comput.), 2022
Minkyu Choi
Yizhen Zhang
Kuan Han
Xiaokai Wang
Zhongming Liu
AAML
GAN
186
8
0
15 Jun 2022
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
R. Mamidi
Jashn Arora
Veeral Agarwal
Mounika Marreddy
Subba Reddy Oota
Raju Surampudi Bapi
193
55
0
03 May 2022
Visio-Linguistic Brain Encoding
International Conference on Computational Linguistics (COLING), 2022
R. Mamidi
Jashn Arora
Vijay Rowtula
Subba Reddy Oota
R. Bapi
AI4CE
132
19
0
18 Apr 2022
Symmetry Perception by Deep Networks: Inadequacy of Feed-Forward Architectures and Improvements with Recurrent Connections
Shobhita Sundaram
Darius Sinha
Matthew Groth
Tomotake Sasaki
Xavier Boix
192
1
0
08 Dec 2021
Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorization
Sushrut Thorat
G. Aldegheri
Tim C Kietzmann
260
13
0
15 Nov 2021
Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning
Uche M. Osahor
Nasser M. Nasrabadi
203
14
0
18 Oct 2021
Capturing the objects of vision with neural networks
Nature Human Behaviour (Nat Hum Behav), 2021
B. Peters
N. Kriegeskorte
OCL
325
76
0
07 Sep 2021
Towards robust vision by multi-task learning on monkey visual cortex
Neural Information Processing Systems (NeurIPS), 2021
Shahd Safarani
Arne F. Nix
K. Willeke
Santiago A. Cadena
Kelli Restivo
George H. Denfield
A. Tolias
Fabian H. Sinz
OOD
376
62
0
29 Jul 2021
Predictive Coding: a Theoretical and Experimental Review
Beren Millidge
A. Seth
Christopher L. Buckley
AI4CE
674
179
0
27 Jul 2021
GLiT: Neural Architecture Search for Global and Local Image Transformer
Boyu Chen
Peixia Li
Chuming Li
Baopu Li
Mengwei He
Chen Lin
Ming Sun
Junjie Yan
Wanli Ouyang
ViT
436
100
0
07 Jul 2021
On the role of feedback in visual processing: a predictive coding perspective
A. Alamia
Milad Mozafari
Bhavin Choksi
Rufin VanRullen
203
7
0
08 Jun 2021
Model Zoo: A Growing "Brain" That Learns Continually
International Conference on Learning Representations (ICLR), 2021
Rahul Ramesh
Pratik Chaudhari
CLL
FedML
395
78
0
06 Jun 2021
Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics
Neural Information Processing Systems (NeurIPS), 2021
Bhavin Choksi
Milad Mozafari
Callum Biggs O'May
Benjamin Ador
A. Alamia
Rufin VanRullen
AI4CE
221
45
0
04 Jun 2021
Bio-inspired Robustness: A Review
Harshitha Machiraju
Oh-hyeon Choung
P. Frossard
Michael H. Herzog
AAML
236
2
0
16 Mar 2021
Predictive coding feedback results in perceived illusory contours in a recurrent neural network
Neural Networks (NN), 2021
Zhaoyang Pang
Callum Biggs O'May
Bhavin Choksi
R. V. Rullen
216
37
0
03 Feb 2021
1
2
Next
Page 1 of 2
