Seeing the Forest for the trees, and the ground below my beak: global and local processing in the Pigeon's visual system

W Clark, M Colombo - Frontiers in Psychology, 2022 - frontiersin.org
Non-human animals tend to solve behavioral tasks using local information. Pigeons are
particularly biased toward using the local features of stimuli to guide behavior in small-scale …

Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks

P Muratore, S Tafazoli, E Piasini… - Advances in Neural …, 2022 - proceedings.neurips.cc
Visual object recognition has been extensively studied in both neuroscience and computer
vision. Recently, the most popular class of artificial systems for this task, deep convolutional …

Mice and primates use distinct strategies for visual segmentation

FJ Luongo, L Liu, CLA Ho, JK Hesse, JB Wekselblatt… - elife, 2023 - elifesciences.org
The rodent visual system has attracted great interest in recent years due to its experimental
tractability, but the fundamental mechanisms used by the mouse to represent the visual …

The importance of contrast features in rat vision

AE Schnell, K Vinken, HO de Beeck - Scientific Reports, 2023 - nature.com
Abstract Models of object recognition have mostly focused upon the hierarchical processing
of objects from local edges up to more complex shape features. An alternative strategy that …

A computationally informed comparison between the strategies of rodents and humans in visual object recognition

AE Schnell, M Leemans, K Vinken, HO de Beeck - Elife, 2023 - elifesciences.org
Many species are able to recognize objects, but it has been proven difficult to pinpoint and
compare how different species solve this task. Recent research suggested to combine …

Maintenance and transformation of representational formats during working memory prioritization

DP Estefan, MC Fellner, L Kunz, H Zhang, P Reinacher… - bioRxiv, 2023 - biorxiv.org
Visual working memory depends on both material-specific brain areas in ventral visual
stream (VVS) that support the maintenance of stimulus representations and on regions in …

Deep recurrent spiking neural networks capture both static and dynamic representations of the visual cortex under movie stimuli

L Huang, ZY Ma, H Zhou, Y Tian - arXiv preprint arXiv:2306.01354, 2023 - arxiv.org
In the real world, visual stimuli received by the biological visual system are predominantly
dynamic rather than static. A better understanding of how the visual cortex represents movie …

Unraveling the complexity of rat object vision requires a full convolutional network-and beyond

P Muratore, A Alemi, D Zoccolan - bioRxiv, 2024 - biorxiv.org
Despite their prominence as model systems to dissect visual cortical circuitry, it remains
unclear whether rodents are capable of truly advanced processing of visual information …

Marmoset core visual object recognition behavior is comparable to that of macaques and humans

AJE Kell, SL Bokor, YN Jeon, T Toosi, EB Issa - IScience, 2023 - cell.com
Among the smallest simian primates, the common marmoset offers promise as an
experimentally tractable primate model for neuroscience with translational potential to …

How can we track cognitive representations with Deep Neural Networks and intracranial EEG?

DP Estefan - Intracranial EEG: A Guide for Cognitive Neuroscientists, 2023 - Springer
Studies harnessing the heuristic potential of Deep Neural Networks (DNNs) and the high
spatiotemporal resolution of intracranial EEG (iEEG) data are providing fine-grained details …