Article
Neurosciences
Vladislav Ayzenberg, Marlene Behrmann
Summary: This study reveals the specific functional contributions of the dorsal visual pathway to object recognition. The dorsal cortex computes the spatial relations among an object's parts and transmits this information to the ventral pathway to support object categorization. The dorsal cortex is a crucial source of input to the ventral pathway and may support the ability to categorize objects based on global shape.
JOURNAL OF NEUROSCIENCE
(2022)
Article
Multidisciplinary Sciences
Ben Sorscher, Surya Ganguli, Haim Sompolinsky
Summary: This article proposes a simple and feasible neural mechanism for learning new concepts from few examples. It suggests that neural activity in higher-order sensory areas can simulate the learning of natural concepts, and discrimination can be achieved through a simple plasticity rule. Numerical simulations demonstrate the high accuracy of this mechanism and a mathematical theory is developed to predict the performance of few-shot learning.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Multidisciplinary Sciences
Akshay V. Jagadeesh, Justin L. Gardner
Summary: The human category-selective visual cortex provides a set of texture-like features that can be flexibly reconfigured to learn and identify new object categories. The representations in this visual cortex are not explicitly encoding objects, but rather capturing complex visual features that support object perception.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Neurosciences
Gemma J. Wilton, Rhodri Woodhouse, Valldeflors Vinuela-Navarro, Rachel England, J. Margaret Woodhouse
Summary: Children with Down syndrome are more likely to experience problems consistent with cerebral visual impairment, which may be related to a brain dysfunction that contributes to high levels of farsightedness and failure to achieve emmetropia.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Neurosciences
Mark A. G. Eldridge, Jonah E. Pearl, Grace P. Fomani, Evan C. Masseau, J. Megan Fredericks, Gang Chen, Barry J. Richmond
Summary: The primate visual system is often described as a hierarchical feature-conjunction pathway, but anatomical studies and prior research on visual discrimination suggest that the strictly feed-forward serial transfer of information may not be accurate. Removal of specific subregions in the inferior temporal cortex revealed that area TE plays a critical role in rapid visual object recognition, and detailed visual information can reach TE through routes other than TEO.
Article
Neurosciences
Shan Xu, Xingyu Liu, Jorge Almeida, Dietmar Heinke
Summary: Recent studies have shown that both the ventral and dorsal visual streams respond to action relations between objects, with contributions from each stream differentiating their neural activities. The involvement of either stream in the automatic extraction of action relations is not solely dependent on familiarity of the objects, suggesting a division of labor between the two visual streams.
Article
Biochemical Research Methods
Daniel Janini, Chris Hamblin, Arturo Deza, Talia Konkle
Summary: The perception of letters relies more on general visual features than specialized letter features. Understanding the mechanism behind letter perception is of great significance.
PLOS COMPUTATIONAL BIOLOGY
(2022)
Article
Neurosciences
JohnMark Taylor, Yaoda Xu
Summary: Despite decades of research, our understanding of the relationship between color and form processing in the primate ventral visual pathway remains incomplete. Using fMRI multivoxel pattern analysis, this study found that color and form could be decoded from activity in early visual areas V1 to V4, as well as in the posterior color-selective region and shape-selective regions in ventral and lateral occipitotemporal cortex. The study also revealed decoding biases towards one feature or the other in the color-and shape-selective regions, and nonlinear, interactive coding of color and the simple form feature in several early visual regions.
Article
Multidisciplinary Sciences
Chengxu Zhuang, Siming Yan, Aran Nayebi, Martin Schrimpf, Michael C. Frank, James J. DiCarlo, Daniel L. K. Yamins
Summary: Recent advancements in unsupervised learning have narrowed the gap in using deep neural networks to model the response patterns of neurons in the primate ventral visual stream, achieving neural prediction accuracy comparable or superior to current supervised methods. These methods even produce brainlike representations when trained solely on real human child data, demonstrating potential for a biologically plausible computational theory of primate sensory learning.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Computer Science, Artificial Intelligence
Daiki Nakamura, Hiroaki Gomi
Summary: Visual motion analysis is essential for humans to detect moving objects and self-motion. A neural network trained on image motion can decode self-motion during human movements and exhibits similar spatiotemporal frequency tuning as reflexive ocular and manual responses induced by visual motion.
Article
Biology
Kayla M. Ferko, Anna Blumenthal, Chris B. Martin, Daria Proklova, Alexander N. Minos, Lisa M. Saksida, Timothy J. Bussey, Ali R. Khan, Stefan Koehler
Summary: Vision neuroscience has made significant progress in understanding the hierarchical organization of object representations, but there is limited research on the fine-grained visual similarities between objects that observers subjectively perceive. This study focused on the perceived visual similarities among real-world category exemplars and found that these similarities are most accurately reflected in the medial temporal lobe regions.
Article
Neurosciences
Nadia S. Canario, Lilia P. Jorge, Isabel J. Santana, Miguel S. Castelo-Branco
Summary: This study aimed to investigate the neural response patterns in the ventral visual stream regions in patients with mild AD. The results showed region dependent functional reorganization and compensatory activity in frontal and cingulate networks.
JOURNAL OF ALZHEIMERS DISEASE
(2023)
Article
Multidisciplinary Sciences
Alexandra Bardon, Will Xiao, Carlos R. Ponce, Margaret S. Livingstone, Gabriel Kreiman
Summary: The primate inferior temporal cortex contains neurons that respond more strongly to faces than to other objects. Termed face neurons, these neurons are thought to be selective for faces as a semantic category. However, face neurons also partly respond to clocks, fruits, and single eyes, raising the question of whether face neurons are better described as selective for visual features related to faces but dissociable from them.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Neurosciences
Edmund T. Rolls, Gustavo Deco, Chu-Chung Huang, Jianfeng Feng
Summary: This study investigates the effective connectivity in the human hippocampal memory system, revealing the directionality and strength of the connections between different brain regions. By connecting different information streams with the hippocampus, the hippocampal function is optimized.
Article
Neurosciences
Benjamin N. Conrad, Courtney Pollack, Darren J. Yeo, Gavin R. Price
Summary: A spatially consistent inferior temporal numeral area (ITNA) in the occipitotemporal cortex appears to preferentially process Arabic digits in adults. The reasons for the spatial segregation of ITNA from regions processing other orthographic stimuli and its consistency across individuals remain unknown. The study found stronger structural and functional connectivity of left ITNA with inferior parietal regions involved in numerical magnitude representation and arithmetic, while the right ITNA showed stronger connectivity with the ipsilateral inferior parietal cortex and bilateral IPS. These results suggest that the left ITNA may be more involved in mapping digits to verbal number representations, while the right ITNA may support the mapping of digits to quantity representations.
Article
Neurosciences
Chris B. Martin, Rosemary A. Cowell, Paul L. Gribble, Jessey Wright, Stefan Koehler
Article
Neurosciences
Danielle Douglas, Sathesan Thavabalasingam, Zahraa Chorghay, Edward B. O'Neil, Morgan D. Barense, Andy C. H. Lee
Editorial Material
Neurosciences
Celia Fidalgo, Chris B. Martin
JOURNAL OF NEUROSCIENCE
(2016)
Article
Behavioral Sciences
Emilie Lacot, Stephane Vautier, Stefan Kohler, Jeremie Pariente, Chris B. Martin, Michele Puel, Jean-Albert Lotterie, Emmanuel J. Barbeau
Article
Neurosciences
Anna Blumenthal, Bobby Stojanoski, Chris B. Martin, Rhodri Cusack, Stefan Kohler
HUMAN BRAIN MAPPING
(2018)
Article
Geriatrics & Gerontology
Nicole D. Anderson, Chris B. Martin, Julia Czyzo, Stefan Kohler
JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES
(2019)
Article
Neurosciences
Chris B. Martin, Jacqueline A. Sullivan, Jessey Wright, Stefan Kohler
Article
Neurosciences
Chris B. Martin, David A. McLean, Edward B. O'Neil, Stefan Koehler
JOURNAL OF NEUROSCIENCE
(2013)
Article
Behavioral Sciences
Chris B. Martin, Seyed M. Mirsattari, Jens C. Pruessner, Sandra Pietrantonio, Jorge G. Burneo, Brent Hayman-Abello, Stefan Koehler
Article
Behavioral Sciences
Marika C. Inhoff, Andrew C. Heusser, Arielle Tambini, Chris B. Martin, Edward B. O'Neil, Stefan Kohler, Michael R. Meager, Karen Blackmon, Blanca Vazquez, Orrin Devinsky, Lila Davachi
Article
Behavioral Sciences
Stefan Kohler, Chris B. Martin
Article
Behavioral Sciences
Devin Duke, Chris B. Martin, Ben Bowles, Ken Mcrae, Stefan Kohler
Article
Psychology, Clinical
Sarah J. Banks, Jenny Bellerose, Danielle Douglas, Marilyn Jones-Gotman
APPLIED PSYCHOPHYSIOLOGY AND BIOFEEDBACK
(2012)