Brainformer: Mimic human visual brain functions to machine vision models via fMRI.

Information transfer rate in BCIs: Towards tightly integrated symbiosis.

COBRA: A Continual Learning Approach to Vision-Brain Understanding.

Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding.

Configural processing as an optimized strategy for robust object recognition in neural networks.

BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning.

Robustness to Transformations Across Categories: Is Robustness Driven by Invariant Neural Representations?

Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations.

Neural Correlates of Face Familiarity Perception.

Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance loss.

To Which Out-Of-Distribution Object Orientations Are DNNs Capable of Generalizing?

Is Robustness To Transformations Driven by Invariant Neural Representations?

Response to Katzhendler and Weinshall: Initial visual degradation during development may be adaptive.

Potential downside of high initial visual acuity.

Recognizing Facial Slivers.

Motion sequence analysis in the presence of figural cues.

Face Recognition by Computers and Humans.

Visual object concept discovery: Observations in congenitally blind children, and a computational approach.

Region-based representations for face recognition.

Face Recognition by Humans: Nineteen Results All Computer Vision Researchers Should Know About.

Receptive Field Structures for Recognition.

Object recognition and Random Image Structure Evolution.