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Related Experiment Video

Updated: Jul 3, 2026

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

Neural substrates for visual pattern recognition learning in Igo.

Kosuke Itoh¹, Hideaki Kitamura, Yukihiko Fujii

¹Center for Integrated Human Brain Science, Brain Research Institute, University of Niigata, 1-757 Asahimachi-Dori, Niigata, 951-8585, Japan. itoh@bri.niigata-u.ac.jp

|July 16, 2008

Summary

Learning to recognize complex visual patterns, like those in Go's life-or-death problems (shikatsu-mondai), involves new neural pathways. This brain plasticity enables adaptive visual-cognitive skills through training.

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Last Updated: Jul 3, 2026

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

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Creating Objects and Object Categories for Studying Perception and Perceptual Learning

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Published on: November 2, 2012

Area of Science:

Neuroscience
Cognitive Science
Visual Perception

Background:

Visual pattern recognition is context-dependent and requires expertise.
Acquiring new visual-cognitive skills involves long-term adaptive learning.
Ambiguous visual stimuli necessitate specialized pattern recognition abilities.

Purpose of the Study:

To identify neural substrates supporting gradual, adaptive learning of visual patterns.
To investigate brain changes associated with learning to recognize complex visual stimuli in Go (Igo).
To explore the neural basis of expertise acquisition in visual-cognitive tasks.

Main Methods:

Utilized 3-Tesla functional Magnetic Resonance Imaging (fMRI).
Employed shikatsu-mondai (life-or-death problems) from the board game Igo (Go) as stimuli.
Compared neural activity before and after a two-hour training period.

Main Results:

Passive viewing of untrained stimuli activated occipito-temporal cortices.
Post-training, viewing the same stimuli additionally activated premotor cortex, intraparietal sulcus, and a specific visual area.
Neural activity in newly activated regions correlated with learning achievement, indicating successful skill acquisition.

Conclusions:

Recognition of newly learned visual patterns involves fronto-parietal and visual cortical interactions.
Newly formed functional connections support the modulation of visual activity for behaviorally relevant perceptions.
The brain exhibits adaptive plasticity, forming new neural pathways to support learned visual recognition skills.