Cover Image

Dissociating spatial frequency reliance from adversarial robustness advantages in neurally guided deep convolutional neural networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shao, Zhenan, Ren, Tianyu, Wang, Chengxiao, Isik, Leyla, Beck, Diane M.
Format:	Preprint
Published:	2026
Subjects:	Neurons and Cognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Synergistic pathways of modulation enable robust task packing within neural dynamics
by: Vedovati, Giacomo, et al.
Published: (2024)

Retina gap junctions support the robust perception by warping neural representational geometries along the visual hierarchy
by: Yue, Yang, et al.
Published: (2026)

Abrupt and spontaneous strategy switches emerge in simple regularised neural networks
by: Löwe, Anika T., et al.
Published: (2023)

Semantic representations emerge in biologically inspired ensembles of cross-supervising neural networks
by: Urbach, Roy, et al.
Published: (2025)

A theory of neural emulators
by: Mitelut, Catalin C.
Published: (2024)

Information encoding and decoding in in-vitro neural networks on micro electrode arrays through stimulation timing
by: Lindell, Trym A. E., et al.
Published: (2024)

Embodied sensorimotor control: computational modeling of the neural control of movement
by: Almani, Muhammad Noman, et al.
Published: (2025)

Setting up for failure: automatic discovery of the neural mechanisms of cognitive errors
by: Radmard, Puria, et al.
Published: (2025)

Sequence models for by-trial decoding of cognitive strategies from neural data
by: Otter, Rick den, et al.
Published: (2025)

Brain-aligning of semantic vectors improves neural decoding of visual stimuli
by: Vafaei, Shirin, et al.
Published: (2024)

Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding
by: Song, Yu, et al.
Published: (2024)

Overcoming classic challenges for artificial neural networks by providing incentives and practice
by: Irie, Kazuki, et al.
Published: (2024)

A neural network for modeling human concept formation, understanding and communication
by: Guo, Liangxuan, et al.
Published: (2026)

Probing Human Visual Robustness with Neurally-Guided Deep Neural Networks
by: Shao, Zhenan, et al.
Published: (2024)

Bridging scalp and intracranial EEG in BCI via pretrained neural representations and geometric constraint embedding
by: Dong, Yihang, et al.
Published: (2026)

The neural correlates of logical-mathematical symbol systems processing resemble that of spatial cognition more than natural language processing
by: Li, Yuannan, et al.
Published: (2024)

Phase codes emerge in recurrent neural networks optimized for modular arithmetic
by: Murray, Keith T.
Published: (2023)

Functional connectomes of neural networks
by: Songdechakraiwut, Tananun, et al.
Published: (2024)

Cracking the neural code for word recognition in convolutional neural networks
by: Agrawal, Aakash, et al.
Published: (2024)

Inhibitory normalization of error signals improves learning in neural circuits
by: Eyono, Roy Henha, et al.
Published: (2026)

Dissociating Artificial Intelligence from Artificial Consciousness
by: Findlay, Graham, et al.
Published: (2024)

A framework for disentangling spatial and visual neural representations
by: Morimoto, Mai M., et al.
Published: (2025)

Noumenal Labs White Paper: How To Build A Brain
by: Ramstead, Maxwell J. D., et al.
Published: (2025)

Geometry of naturalistic object representations in recurrent neural network models of working memory
by: Lei, Xiaoxuan, et al.
Published: (2024)

Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference
by: Erturk, Eray, et al.
Published: (2025)

pyhgf: A neural network library for predictive coding
by: Legrand, Nicolas, et al.
Published: (2024)

Primate-like perceptual decision making emerges through deep recurrent reinforcement learning
by: Wispinski, Nathan J., et al.
Published: (2026)

Perceptual misalignment of texture representations in convolutional neural networks
by: de Paolis, Ludovica, et al.
Published: (2026)

Human alignment of neural network representations
by: Muttenthaler, Lukas, et al.
Published: (2022)

Shaping manifolds in equivariant recurrent neural networks
by: Di Bernardo, Arianna, et al.
Published: (2025)

Aligned and oblique dynamics in recurrent neural networks
by: Schuessler, Friedrich, et al.
Published: (2023)

Mode-conditioned music learning and composition: a spiking neural network inspired by neuroscience and psychology
by: Liang, Qian, et al.
Published: (2024)

Generative Adversarial Collaborations: A practical guide for conference organizers and participating scientists
by: Blohm, Gunnar, et al.
Published: (2024)

gPC-based robustness analysis of neural systems through probabilistic recurrence metrics
by: Sutulovic, Uros, et al.
Published: (2026)

The Multi-biophysical nature of Computation in brain neural networks
by: Winlow, William, et al.
Published: (2025)

A neural network account to Kant's philosophical aesthetics
by: Graben, Peter beim
Published: (2024)

Cerebral cortex inspired representation of neural field network
by: Sharma, Anil Kumar, et al.
Published: (2024)

Brain-inspired, interpretable, resonant recurrent neural networks
by: Kramer, Mark A.
Published: (2025)

Causal pieces: analysing and improving spiking neural networks piece by piece
by: Dold, Dominik, et al.
Published: (2025)

Generalisation to unseen topologies: Towards control of biological neural network activity
by: Engwegen, Laurens, et al.
Published: (2024)