Learning and Recognition of a Non-conscious Sequence of Events in Human Primary Visual Cortex.

Curr Biol

Basque Center on Cognition, Brain and Language, Paseo Mikeletegi, 20009 San Sebastian - Donostia, Spain; Ikerbasque, Basque Foundation for Science, 48013 Bilbao, Spain. Electronic address:

Published: March 2016

AI Article Synopsis

  • The study investigates how the human primary visual cortex (V1) is involved in learning and recognizing complex visual sequences, even when these processes occur without conscious awareness.
  • The researchers used a unique fMRI method to show that activity in V1 changed during the learning of a visuospatial sequence and was part of a network that also includes the hippocampus when recognizing this sequence later.
  • Findings suggest that V1 plays a crucial role not only in low-level visual tasks but also in memory processes, connecting new insights about visual cortex function with existing models in animal studies of learning and memory.

Article Abstract

Human primary visual cortex (V1) has long been associated with learning simple low-level visual discriminations [1] and is classically considered outside of neural systems that support high-level cognitive behavior in contexts that differ from the original conditions of learning, such as recognition memory [2, 3]. Here, we used a novel fMRI-based dichoptic masking protocol-designed to induce activity in V1, without modulation from visual awareness-to test whether human V1 is implicated in human observers rapidly learning and then later (15-20 min) recognizing a non-conscious and complex (second-order) visuospatial sequence. Learning was associated with a change in V1 activity, as part of a temporo-occipital and basal ganglia network, which is at variance with the cortico-cerebellar network identified in prior studies of "implicit" sequence learning that involved motor responses and visible stimuli (e.g., [4]). Recognition memory was associated with V1 activity, as part of a temporo-occipital network involving the hippocampus, under conditions that were not imputable to mechanisms associated with conscious retrieval. Notably, the V1 responses during learning and recognition separately predicted non-conscious recognition memory, and functional coupling between V1 and the hippocampus was enhanced for old retrieval cues. The results provide a basis for novel hypotheses about the signals that can drive recognition memory, because these data (1) identify human V1 with a memory network that can code complex associative serial visuospatial information and support later non-conscious recognition memory-guided behavior (cf. [5]) and (2) align with mouse models of experience-dependent V1 plasticity in learning and memory [6].

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819512PMC
http://dx.doi.org/10.1016/j.cub.2016.01.040DOI Listing

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