Andreas A. Kardamakis

Models of visual salience detection rely on center–surround interactions, yet it remains unclear how these computations are distributed across retinal, cortical, and subcortical circuits due to their overlapping contributions. Here, we reveal a de novo collicular mechanism for surround suppression by combining patterned optogenetics with whole-cell recordings from individual neurons in the mouse superficial superior colliculus (SCs). Center zones were defined by monosynaptic input from channelrhodopsin-expressing retinal ganglion cells in collicular midbrain slices. Surround network optoactivation suppressed center responses compared to center-only input. This suppression is excitatory in origin, arising from the withdrawal of center excitation via surround-driven inhibition of local recurrent excitatory circuits, as demonstrated by cell-type-specific trans-synaptic tracing and computational modeling. These findings identify a local circuit mechanism for saliency computation in the SCs, independent of cortical input.

The interaction of retinal center-surround processes with early visual subcortical and cortical circuits forms the basis for saliency computations. The subcortical circuit mechanisms contributing to surround modulation, however, remain unclear. We developed an optogenetic approach to functionally delineate visual center and surround zones of individual neurons in the superficial layers of the superior colliculus (SCs). We demonstrate that local circuit interactions within the SCs are sufficient to generate visual surround suppression. Notably, surround network activation leads to decreases in center excitation rather than increases in synaptic inhibition. Using a range of complementary methods, we reveal the identity of a SCs-based circuit with two key interacting circuit motifs, recurrent excitation and feedback inhibition, capable of modulating levels of center excitation when the visual surround is active. We propose that subcortical and cortical visual circuits are both recurrent-based and have evolved to independently perform surround modulation, thus enabling parallel saliency computations across multiple levels.

Center-surround interactions are fundamental to visual saliency computation, but debate continues over whether and how subcortical visual circuits actively contribute. To address this, we developed an optogenetic approach to delineate the visual center and surround zones of individual neurons in the superficial layer of the superior colliculus (SCs) using only retinal ganglion cell input. Using whole-cell recordings, we demonstrate that surround network activation suppresses center excitability, indicating that SCs circuitry is self-sufficient in driving center-surround dynamics. Through cell-type-specific trans-synaptic tracing and large-scale modeling, we identified an SCs-based circuit with two key motifs driving surround modulation: recurrent excitation and feedback inhibition. We propose that subcortical visual circuits in the SCs have evolved to perform surround suppression alongside retinal and cortical suppression, facilitating the distribution of parallel saliency computations across different levels. Significance statement: This study questions the notion that the superior colliculus (SC) merely acts as a passive recipient of saliency information from upstream circuits. We demonstrate that the SC can independently generate center-surround interactions that could contribute to visual saliency through local circuits without top-down input. This ability represents a computation that has been conserved since the dawn of vertebrate evolution. By mapping these interactions, we reveal that the mouse SC actively induces visual surround suppression. These findings suggest that phylogenetically older circuits in the SC may play a more independent role in active vision than previously acknowledged, prompting a reevaluation of visual saliency processing across subcortical brain regions.

Animals integrate the different senses to facilitate event-detection for navigation in their environment. In vertebrates, the optic tectum (superior colliculus) commands gaze shifts by synaptic integration of different sensory modalities. Recent works suggest that tectum can elaborate gaze reorientation commands on its own, rather than merely acting as a relay from upstream/forebrain circuits to downstream premotor centers. We show that tectal circuits can perform multisensory computations independently and, hence, configure final motor commands. Single tectal neurons receive converging visual and electrosensory inputs, as investigated in the lamprey - a phylogenetically conserved vertebrate. When these two sensory inputs overlap in space and time, response enhancement of output neurons occurs locally in the tectum, whereas surrounding areas and temporally misaligned inputs are inhibited. Retinal and electrosensory afferents elicit local monosynaptic excitation, quickly followed by inhibition via recruitment of GABAergic interneurons. Multisensory inputs can thus regulate event-detection within tectum through local inhibition without forebrain control.

Significance: Neurons in the optic tectum are involved in stimulus selection and also control gaze reorientation. This study relies on an in vitro preparation that allows visual activation of the retina while providing accessibility for whole-cell recordings from specific cells that control gaze action. We show the tectal (collicular in mammals) GABAergic interneurons generate rivalry between visual areas and that tectal gaze-controlling cells integrate this inhibition along with local retinal excitation to form stimulus selection commands that will move the eyes and head, and may also contribute to edge detection. We propose that this subcortical visuomotor circuit is phylogenetically conserved throughout vertebrate evolution.

The neural control of movements in vertebrates is based on a set of modules, like the central pattern generator networks (CPGs) in the spinal cord coordinating locomotion. Sensory feedback is not required for the CPGs to generate the appropriate motor pattern and neither a detailed control from higher brain centers. Reticulospinal neurons in the brainstem activate the locomotor network, and the same neurons also convey signals from higher brain regions, such as turning/steering commands from the optic tectum (superior colliculus). A tonic increase in the background excitatory drive of the reticulospinal neurons would be sufficient to produce coordinated locomotor activity. However, in both vertebrates and invertebrates, descending systems are in addition phasically modulated because of feedback from the ongoing CPG activity. We use the lamprey as a model for investigating the role of this phasic modulation of the reticulospinal activity, because the brainstem-spinal cord networks are known down to the cellular level in this phylogenetically oldest extant vertebrate. We describe how the phasic modulation of reticulospinal activity from the spinal CPG ensures reliable steering/turning commands without the need for a very precise timing of on-or offset, by using a biophysically detailed large-scale (19,600 model neurons and 646,800 synapses) computational model of the lamprey brainstem-spinal cord network. To verify that the simulated neural network can control body movements, including turning, the spinal activity is fed to a mechanical model of lamprey swimming. The simulations also predict that, in contrast to reticulospinal neurons, tectal steering/turning command neurons should have minimal frequency adaptive properties, which has been confirmed experimentally.