Synaptic Correlates of Low-Level Perception in V1

Autor: Marc Pananceau, Pedro V. Carelli, Florian Gerard-Mercier, Xoana G. Troncoso, Yves Frégnac
Přispěvatelé: École polytechnique (X), Graduate School of Science and Engineering, Saitama University, Saitama 338-8570, Japan, Unité de Neurosciences Information et Complexité [Gif sur Yvette] (UNIC), Centre National de la Recherche Scientifique (CNRS), Institut des Neurosciences Paris-Saclay (NeuroPSI), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2016
Předmět:
0301 basic medicine
Visual perception
genetic structures
[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology
Motion Perception
MESH: Neurons
Visual system
MESH: Synapses
0302 clinical medicine
Form perception
Anesthesia
MESH: Animals
primary visual cortex
MESH: Brain Mapping
Visual Cortex
Neurons
Brain Mapping
[SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior
General Neuroscience
MESH: Retina
[SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences
Articles
Visual field
MESH: Nonlinear Dynamics
medicine.anatomical_structure
MESH: Photic Stimulation
MESH: Motion Perception
Visual Perception
MESH: Cats
Psychology
Algorithms
MESH: Algorithms
MESH: Anesthesia
horizontal connectivity
Retina
03 medical and health sciences
Reaction Time
medicine
Animals
Visual Pathways
synaptic receptive field
MESH: Form Perception
Motion perception
MESH: Visual Pathways
MESH: Visual Perception
MESH: Visual Cortex
Saccadic masking
MESH: Reaction Time
Form Perception
030104 developmental biology
Visual cortex
Nonlinear Dynamics
Receptive field
perceptual association field
Synapses
Cats
apparent motion sensitivity
MESH: Anisotropy
Anisotropy
Visual Fields
MESH: Visual Fields
Neuroscience
Photic Stimulation
030217 neurology & neurosurgery
Zdroj: Journal of Neuroscience
Journal of Neuroscience, Society for Neuroscience, 2016, 36 (14), pp.3925-3942. ⟨10.1523/JNEUROSCI.4492-15.2016⟩
ISSN: 0270-6474
1529-2401
DOI: 10.1523/JNEUROSCI.4492-15.2016⟩
Popis: The computational role of primary visual cortex (V1) in low-level perception remains largely debated. A dominant view assumes the prevalence of higher cortical areas and top-down processes in binding information across the visual field. Here, we investigated the role of long-distance intracortical connections in form and motion processing by measuring, with intracellular recordings, their synaptic impact on neurons in area 17 (V1) of the anesthetized cat. By systematically mapping synaptic responses to stimuli presented in the nonspiking surround of V1 receptive fields, we provide the first quantitative characterization of the lateral functional connectivity kernel of V1 neurons. Our results revealed at the population level two structural-functional biases in the synaptic integration and dynamic association properties of V1 neurons. First, subthreshold responses to oriented stimuli flashed in isolation in the nonspiking surround exhibited a geometric organization around the preferred orientation axis mirroring the psychophysical “association field” for collinear contour perception. Second, apparent motion stimuli, for which horizontal and feedforward synaptic inputs summed in-phase, evoked dominantly facilitatory nonlinear interactions, specifically during centripetal collinear activation along the preferred orientation axis, at saccadic-like speeds. This spatiotemporal integration property, which could constitute the neural correlate of a human perceptual bias in speed detection, suggests that local (orientation) and global (motion) information is already linked within V1. We propose the existence of a “dynamic association field” in V1 neurons, whose spatial extent and anisotropy are transiently updated and reshaped as a function of changes in the retinal flow statistics imposed during natural oculomotor exploration.SIGNIFICANCE STATEMENTThe computational role of primary visual cortex in low-level perception remains debated. The expression of this “pop-out” perception is often assumed to require attention-related processes, such as top-down feedback from higher cortical areas. Using intracellular techniques in the anesthetized cat and novel analysis methods, we reveal unexpected structural-functional biases in the synaptic integration and dynamic association properties of V1 neurons. These structural-functional biases provide a substrate, within V1, for contour detection and, more unexpectedly, global motion flow sensitivity at saccadic speed, even in the absence of attentional processes. We argue for the concept of a “dynamic association field” in V1 neurons, whose spatial extent and anisotropy changes with retinal flow statistics, and more generally for a renewed focus on intracortical computation.
Databáze: OpenAIRE