Long-term spatial memory representations in human visual cortex

Serra E Favila; Brice A Kuhl; Jonathan Winawer

doi:10.1167/19.10.291c

Long-term enhanced desynchronization of the alpha rhythm following tetanic stimulation of human visual cortex

Neuroscience Letters ◽

10.1016/j.neulet.2005.12.081 ◽

2006 ◽

Vol 398 (3) ◽

pp. 220-223 ◽

Cited By ~ 14

Author(s):

Wesley C. Clapp ◽

Suresh D. Muthukumaraswamy ◽

Jeff P. Hamm ◽

Tim J. Teyler ◽

Ian J. Kirk

Keyword(s):

Visual Cortex ◽

Alpha Rhythm ◽

Tetanic Stimulation ◽

Human Visual Cortex ◽

Stimulation Of

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The Role of the Human Visual Cortex in Assessment of the Long-Term Durability of Retinal Gene Therapy in Follow-on RPE65 Clinical Trial Patients

Ophthalmology ◽

10.1016/j.ophtha.2017.01.029 ◽

2017 ◽

Vol 124 (6) ◽

pp. 873-883 ◽

Cited By ~ 11

Author(s):

Manzar Ashtari ◽

Elena S. Nikonova ◽

Kathleen A. Marshall ◽

Gloria J. Young ◽

Puya Aravand ◽

...

Keyword(s):

Clinical Trial ◽

Gene Therapy ◽

Visual Cortex ◽

Human Visual Cortex ◽

Retinal Gene Therapy

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Perception and memory have distinct spatial tuning properties in human visual cortex

10.1101/811331 ◽

2019 ◽

Author(s):

Serra E. Favila ◽

Brice A. Kuhl ◽

Jonathan Winawer

Keyword(s):

Visual Cortex ◽

Memory Retrieval ◽

Poor Performance ◽

Long Term Memory ◽

Human Visual Cortex ◽

Visual Areas ◽

The Hierarchical Structure ◽

Retinotopic Organization ◽

Insight Into

AbstractReactivation of earlier perceptual activity is thought to underlie long-term memory recall. Despite evidence for this view, it is unknown whether mnemonic activity exhibits the same tuning properties as feedforward perceptual activity. Here, we leveraged population receptive field models to parameterize fMRI activity in human visual cortex during spatial memory retrieval. Though retinotopic organization was present during both perception and memory, large systematic differences in tuning were also evident. Notably, whereas there was a three-fold decline in spatial precision from early to late visual areas during perception, this property was entirely abolished during memory retrieval. This difference could not be explained by reduced signal-to-noise or poor performance on memory trials. Instead, by simulating top-down activity in a network model of cortex, we demonstrate that this property is well-explained by the hierarchical structure of the visual system. Our results provide insight into the computational constraints governing memory reactivation in sensory cortex.

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Orientation-Tuned fMRI Adaptation in Human Visual Cortex

Journal of Neurophysiology ◽

10.1152/jn.00378.2005 ◽

2005 ◽

Vol 94 (6) ◽

pp. 4188-4195 ◽

Cited By ~ 102

Author(s):

Fang Fang ◽

Scott O. Murray ◽

Daniel Kersten ◽

Sheng He

Keyword(s):

Visual Cortex ◽

Separate Experiment ◽

Detection Thresholds ◽

Human Visual Cortex ◽

Contrast Detection ◽

Neurophysiological Studies ◽

Short Term Adaptation ◽

Almost All ◽

Fmri Adaptation

Adaptation is a general property of almost all neural systems and has been a longstanding tool of psychophysics because of its power to isolate and temporarily reduce the contribution of specific neural populations. Recently, adaptation designs have been extensively applied in functional MRI (fMRI) studies to infer neural selectivity in specific cortical areas. However, there has been considerable variability in the duration of adaptation used in these experiments. In particular, although long-term adaptation has been solidly established in psychophysical and neurophysiological studies, it has been incorporated into few fMRI studies. Furthermore, there has been little validation of fMRI adaptation using stimulus dimensions with well-known adaptive properties (e.g., orientation) and in better understood regions of cortex (e.g., primary visual cortex, V1). We used an event-related fMRI experiment to study long-term orientation adaptation in the human visual cortex. After long-term adaptation to an oriented pattern, the fMRI response in V1, V2, V3/VP, V3A, and V4 to a test stimulus was proportional to the angular difference between the adapting and test stimuli. However, only V3A and V4 showed this response pattern with short-term adaptation. In a separate experiment, we measured behavioral contrast detection thresholds after adaptation and found that the fMRI signal in V1 closely matched the psychophysically derived contrast detection thresholds. Similar to the fMRI results, adaptation induced threshold changes strongly depended on the duration of adaptation. In addition to supporting the existence of adaptable orientation-tuned neurons in human visual cortex, our results show the importance of considering timing parameters in fMRI adaptation experiments.

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