Title
Improving Unsupervised Task-driven Models of Ventral Visual Stream via Relative Position Predictivity Dazhong Rong Hao Dong Xing Gao Jiyu Wei Di Hong Yaoyao Hao Qinming He Y. Wang 21 0 0 13 May 2025
Mice to Machines: Neural Representations from Visual Cortex for Domain Generalization Ahmed Qazi Hamd Jalil Asim Iqbal OOD 24 0 0 11 May 2025
Naturally Computed Scale Invariance in the Residual Stream of ResNet18 André Longon 63 0 0 22 Apr 2025
Contour Integration Underlies Human-Like Vision Ben Lonnqvist Elsa Scialom Abdülkadir Gökce Zehra Merchant Michael H. Herzog Martin Schrimpf VLM 30 0 0 07 Apr 2025
Convolutional Neural Networks Can (Meta-)Learn the Same-Different Relation Max Gupta Sunayana Rane R. Thomas McCoy Thomas L. Griffiths SSL OOD DRL 141 0 0 29 Mar 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 117 1 0 03 Mar 2025
Category-Selective Neurons in Deep Networks: Comparing Purely Visual and Visual-Language Models Zitong Lu Yuxin Wang 39 0 0 23 Feb 2025
Cognitive Neural Architecture Search Reveals Hierarchical Entailment Lukas Kuhn Sari Saba-Sadiya Gemma Roig 44 0 0 16 Feb 2025
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey) S. Oota Zijiao Chen Manish Gupta R. Bapi G. Jobard F. Alexandre X. Hinaut 3DV AI4CE 44 11 0 31 Dec 2024
Brain-like emergent properties in deep networks: impact of network architecture, datasets and training Niranjan Rajesh Georgin Jacob SP Arun OOD 61 0 0 25 Nov 2024
RTify: Aligning Deep Neural Networks with Human Behavioral Decisions Yu-Ang Cheng I. F. Rodriguez Sixuan Chen Kohitij Kar Takeo Watanabe Thomas Serre 33 3 0 06 Nov 2024
Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers Andrew F. Luo Jacob Yeung Rushikesh Zawar Shaurya Dewan Margaret M. Henderson Leila Wehbe Michael J. Tarr 34 3 0 07 Oct 2024
NeuralOOD: Improving Out-of-Distribution Generalization Performance with Brain-machine Fusion Learning Framework Shuangchen Zhao Changde Du Hui Li Huiguang He 30 0 0 27 Aug 2024
Configural processing as an optimized strategy for robust object recognition in neural networks Hojin Jang Pawan Sinha Xavier Boix 30 1 0 18 Jul 2024
Teaching CORnet Human fMRI Representations for Enhanced Model-Brain Alignment Zitong Lu Yile Wang 24 1 0 15 Jul 2024
Interpreting the Residual Stream of ResNet18 André Longon 18 0 0 07 Jul 2024
Brain-Like Language Processing via a Shallow Untrained Multihead Attention Network Badr AlKhamissi Greta Tuckute Antoine Bosselut Martin Schrimpf 71 6 0 21 Jun 2024
Adapting to time: Why nature may have evolved a diverse set of neurons Karim G. Habashy Benjamin D. Evans Dan F. M. Goodman Jeffrey S. Bowers 16 0 0 22 Apr 2024
MindSet: Vision. A toolbox for testing DNNs on key psychological experiments Valerio Biscione Don Yin Gaurav Malhotra Marin Dujmović M. Montero ... Rachel Heaton John E. Hummel Benjamin D. Evans Karim G. Habashy Jeffrey S. Bowers 30 2 0 08 Apr 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning F. Mumuni A. Mumuni AAML 31 5 0 11 Mar 2024
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance Huakun Shen Boyue Caroline Hu Krzysztof Czarnecki Lina Marsso Marsha Chechik 32 0 0 29 Feb 2024
Deep Continuous Networks Nergis Tomen S. Pintea J. C. V. Gemert 88 14 0 02 Feb 2024
Achieving More Human Brain-Like Vision via Human EEG Representational Alignment Zitong Lu Yile Wang Julie D. Golomb 18 5 0 30 Jan 2024
Layerwise complexity-matched learning yields an improved model of cortical area V2 Nikhil Parthasarathy Olivier J. Hénaff Eero P. Simoncelli 32 1 0 18 Dec 2023
SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction Kushin Mukherjee Holly Huey Xuanchen Lu Yael Vinker Rio Aguina-Kang Ariel Shamir Judith E. Fan 21 11 0 05 Dec 2023
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models Jan Finkbeiner Thomas Gmeinder M. Pupilli A. Titterton Emre Neftci 19 3 0 07 Nov 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 L. Griffiths 56 74 0 18 Oct 2023
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity Andrew F. Luo Margaret M. Henderson Michael J. Tarr Brian Karrer 21 15 0 06 Oct 2023
Traveling Waves Encode the Recent Past and Enhance Sequence Learning Thomas Anderson Keller L. Muller T. Sejnowski Max Welling AI4TS 28 13 0 03 Sep 2023
SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation Malyaban Bal Abhronil Sengupta 20 38 0 21 Aug 2023
Robustified ANNs Reveal Wormholes Between Human Category Percepts Guy Gaziv Michael J. Lee J. DiCarlo AAML 19 6 0 14 Aug 2023
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models Andrew F. Luo Margaret M. Henderson Leila Wehbe Michael J. Tarr DiffM 22 16 0 05 Jun 2023
Synaptic Weight Distributions Depend on the Geometry of Plasticity Roman Pogodin Jonathan H. Cornford Arna Ghosh Gauthier Gidel Guillaume Lajoie Blake A. Richards 21 4 0 30 May 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? Felix Wichmann Robert Geirhos 25 25 0 26 May 2023
Wavelets Beat Monkeys at Adversarial Robustness Jingtong Su Julia Kempe AAML OOD 22 2 0 19 Apr 2023
Feature representations useful for predicting image memorability Takumi Harada Hiroyuki Sakai 11 1 0 14 Mar 2023
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse Li-Wen Huang Zhengyu Ma Liutao Yu Huihui Zhou Yonghong Tian 15 9 0 09 Mar 2023
An anatomy-based V1 model: Extraction of Low-level Features, Reduction of distortion and a V1-inspired SOM Suva Roy Nikhil Pal DRL 9 0 0 18 Feb 2023
System identification of neural systems: If we got it right, would we know? Yena Han T. Poggio Brian Cheung 19 10 0 13 Feb 2023
SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks Mingqing Xiao Qingyan Meng Zongpeng Zhang Yisen Wang Zhouchen Lin 16 11 0 01 Feb 2023
Deep Learning Models to Study Sentence Comprehension in the Human Brain S. Arana Jacques Pesnot Lerousseau P. Hagoort 21 10 0 16 Jan 2023
Harmonizing the object recognition strategies of deep neural networks with humans Thomas Fel Ivan Felipe Drew Linsley Thomas Serre 23 71 0 08 Nov 2022
Psychophysical-Score: A Behavioral Measure for Assessing the Biological Plausibility of Visual Recognition Models Brandon RichardWebster Justin Dulay Anthony DiFalco Elisabetta Caldesi Walter J. Scheirer 8 1 0 16 Oct 2022
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features Changde Du Kaicheng Fu Jinpeng Li Huiguang He VLM 26 66 0 13 Oct 2022
Memory in humans and deep language models: Linking hypotheses for model augmentation Omri Raccah Pheobe Chen Ted Willke David Poeppel Vy A. Vo RALM 13 1 0 04 Oct 2022
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks Chien-Yu Lin Anish K. Prabhu Thomas Merth Sachin Mehta Anurag Ranjan Maxwell Horton Mohammad Rastegari 16 2 0 21 Jul 2022
The least-control principle for local learning at equilibrium Alexander Meulemans Nicolas Zucchet Seijin Kobayashi J. Oswald João Sacramento 22 19 0 04 Jul 2022
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations Lin Zhao Haixing Dai Zihao Wu Zhe Xiao Lu Zhang ... Xintao Hu Xi Jiang Sheng R. Li Dajiang Zhu Tianming Liu 23 7 0 22 Jun 2022
Visio-Linguistic Brain Encoding S. Oota Jashn Arora Vijay Rowtula Manish Gupta R. Bapi AI4CE 14 15 0 18 Apr 2022
EMMT: A simultaneous eye-tracking, 4-electrode EEG and audio corpus for multi-modal reading and translation scenarios Sunit Bhattacharya Vvera Kloudová Vilém Zouhar Ondrej Bojar 9 4 0 06 Apr 2022