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26 results for “Superior Colliculus”
Kinetic features dictate sensorimotor alignment in the superior colliculus.
<p>Tetrode recordings dataset from González-Rueda et al. “Kinetic features dictate sensorimotor alignment in the superior colliculus”, Nature 2024 (<em>https://doi.org/10.1038/s41586-024-07619-2)</em></p> <p>This subset of data corresponds to 5 C57BL6 male adult mice recorded both freely moving during an open field foraging task ("Open field") and head restrained during two visual stimulation tasks ("Visual Stimulation"). Neurons were recorded in both conditions across the superior colliculus using tetrodes in order to determine the sensorimotor alignment between static/kinetic visual features and egocentric head rotations. Detailled explanation of data organisation and content can be found in the file Guide.pdf.</p>
Dataset: Stimulus selection drives value-modulated somatosensory processing in superior colliculus
<p>Pluta Lab</p> <p>.mat data files used in the following paper</p> <p>Stimulus selection drives value-modulated somatosensory processing in superior colliculus </p> <p>Details can be found in readme.txt</p>
The joint representation of self-motion and touch in superior colliculus neurons supporting active sensation
<p><span><span>Localizing</span><span> objects using active </span><span>sensing</span><span> requires </span><span>the</span><span> brain </span><span>to</span> <span>integrate</span> <span>a </span><span>map </span><span>sensory</span><span> space against</span><span> an ongoing </span><span>estimate</span><span> of </span><span>body position</span><span>. </span><span>While </span><span>such computations </span><span>are</span><span> often</span> <span>ascribed to </span><span>the </span><span>cerebral </span><span>corte</span><span>x</span><span>, we examined the </span><span>midbrain</span><span> superior colliculus (SC), due to its </span><span>close relationship</span><span> with</span> <span>the sensory periphery </span><span>as well as</span><span> higher, motor-related brain regions. </span><span>Using high-density electrophysiology and movement tracking, w</span><span>e discovered tha</span><span>t</span> <span>the </span><span>on-going </span><span>kinematics of </span><span>whisker motion</span> <span>and locomotion </span><span>speed </span><span>accurately predict </span><span>the firing rate of</span><span> mouse</span><span> SC neurons</span><span>. </span><span>Neural activity was best predicted by m</span><span>ovement</span><span>s </span><span>occurring</span> <span>either </span><span>in the past, present, or future, </span><span>revealing</span><span> that the SC population continuously </span><span>estimates</span> <span>a</span> <span>trajector</span><span>y of self-motion</span><span>. </span><span>Neural </span><span>selectivity</span><span> for </span><span>combinations </span><span>of kinematic features built </span><span>an accurate</span><span> representation of</span><span> whisker </span><span>position</span> <span>with</span><span> high temporal resolution.</span> <span>Half of all self-motion encoding</span> <span>neurons displayed a </span><span>touch</span><span> response </span><span>as</span><span> an object entered the active whisking field. </span><span>Trial-to-trial v</span><span>ariation in the size of this response was explained by the </span><span>position</span><span> of </span><span>the whisker</span><span> upon touch.</span><span> Taken together, these data </span><span>indicate</span><span> that SC neurons linearly combine an internal estimate of </span><span>body </span><span>movements</span><span> with </span><span>external</span><span> stimulation to </span><span>enable active tactile localization</span><span>.</span></span><span> </span></p>
Data from: Short-latency preference for faces in the primate superior colliculus
<p>Face processing is fundamental to primates and has been extensively studied in higher-order visual cortex. Here we report that visual neurons in the midbrain superior colliculus (SC) display a preference for faces, that the preference emerges within 50ms of stimulus onset – well before "face patches" in visual cortex – and that this activity can distinguish faces from other visual objects with accuracies of ~80%. This short-latency preference in SC depends on signals routed through early visual cortex, because inactivating the lateral geniculate nucleus, the key relay from retina to cortex, virtually eliminates visual responses in SC, including face-related activity. These results reveal an unexpected circuit in the primate visual system for rapidly detecting faces in the periphery, complementing the higher-order areas needed for recognizing individual faces.</p>
Data from: Short-latency preference for faces in the primate superior colliculus
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Extracellular recordings from mouse superior colliculus during the optokinetic reflex
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Data from: Attention-related modulation of caudate neurons depends on superior colliculus activity
<p>Recent work has implicated the basal ganglia in visual perception and attention, in addition to their traditional role in motor control. The basal ganglia, especially the caudate nucleus "head" (CDh) of the striatum, receive indirect anatomical connections from the superior colliculus (SC), a midbrain structure that is known to play a crucial role in the control of visual attention. To test the possible functional relationship between these subcortical structures, we recorded CDh neuronal activity before and during unilateral SC inactivation in a spatial attention task. SC inactivation significantly altered the attention-related modulation of CDh neurons and strongly impaired the classification of task epochs based on CDh activity. Only inactivation of the same-side of SC as recorded CDh neurons, not the opposite-side, had these effects. These results demonstrate a novel interaction between SC activity and attention-related visual processing in the basal ganglia.</p>
Predicting readers' prototypical eye-movement behavior using MASC, a model of Attention in the Superior Colliculus: Stimulus materials, model code, data, and statistical analyses.
<p>The goal of the present research was to determine the role of rudimentary visuo-motor pathways, from the retina and the primary visual cortex to the superior colliculus (SC), in the guidance of human eye movement during reading. To this end, we used MASC, our model of Attention in the Superior Colliculus (Adeli et al., Journal of Neuroscience 2017), a model that relies on well-established saccade-programming principles in the SC. MASC predicts sequences of fixations over an input image by spatially integrating incoming signals in the space of the SC.</p> <p>Here, MASC computed the distribution of luminance contrast over sentences' images (visual-saliency map), after blurring it proportional to retinal eccentricity (retina transformation). It then projected the visual-saliency map into SC space, using a logarithmic afferent-mapping function (magnification factor). Input signals were averaged over retinotopically organized populations of neurons (point images) of constant size, first in the visual map and then in a spatially-registered motor map. The most active population was identified through a winner-take-all process. After jitter applied to the winning population, the next fixation location was determined using inverse efferent mapping. This sequence of events was then repeated to predict following fixation locations, but inserting after each saccade an inhibitory spatial tag (Inhibition of Saccade Return; ISR -referred to as IOR in the uploaded files). All MASC's parameters, but one, were biologically determined, using electrophysiological data in macaque; the ISR window was the one fit parameter.</p> <p>MASC was tested by comparing its predicted sequences of fixations over sentences from the French-Sentence Corpus (FSC) to the eye-movement behavior of 40 French-native speakers reading the same sentences for comprehension (Albrengues et al., Plos One 2019). Then, MASC was dissected to determine the crucial processing steps enabling prediction of human behavior (10 comparison models -see the general README file). Finally, to address crucial issues in the reading literature, i.e., the role of inter-word spacing and character print size in eye-movement guidance, MASC was additionally tested in four additional display conditions: the same sentences from the FSC, but with blank spaces between words being either filled or removed, or with the screen width angle being multiplied by 2 or 4, such that characters were larger in angular size (0.5° and 1°) than in the original experiment (0.25°). MASC's predicted effects of inter-word spacing and print size were compared to previously published data.</p> <p>All material relevant to the project is reported here, including the FSC materials (bitmap and information text files), the Matlab code for our MASC model, raw simulation data for MASC and all our comparison models, as well as MASC's simulations in the different display conditions, the scripts we developed in R to transform raw simulation data into data matrices for statistical analyses of (word-based) eye-movement behavior, the resulting data matrices for all models as well as the data matrix for FSC readers, the R-scripts for statistical comparison of oculomotor behavior between data sets and conditions, literature-review tables of previously published data (for comparison with MASC's predictions), and the R-scripts generating the figures summarizing our results.</p> <p>Further information can be found in the general README file as well as in the README files attached to each folder. The authors' respective contributions to the project, the licence attached to the included materials and their condition of use are listed in the general README file.</p> <p>A manuscript reporting and discussing these modeling data is in preparation (Vitu, F., Adeli, H. & Zelinsky, G. J.); A reference will be provided here when the manuscript appears in a journal.</p> <p>Other references to be cited:</p> <p>- For the model code: Adeli, H., Vitu, F., & Zelinsky, G. J. (2017). A model of the superior colliculus predicts fixation locations during scene viewing and visual search. Journal of Neuroscience, 37(6), 1453-1467. http://www.jneurosci.org/content/37/6/1453</p> <p>- For FSC materials and data: Albrengues, C., Lavigne, F., Aguilar, C., Castet, E., & Vitu, F. (2019). Linguistic processes do not beat visuo-motor constraints, but they modulate where the eyes move regardless of word boundaries: Evidence against top-down word-based eye-movement control during reading. PLoS ONE 14(7): e0219666. https://doi.org/10.1371/journal.pone.0219666<br> </p>
Superior Colliculus Activity in Parkinson Disease: a Potential Marker?
ClinicalTrials.gov study NCT02488395. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Data from: Attention-related modulation of caudate neurons depends on superior colliculus activity
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Dataset for the effects of Generalized seizure activity on the superior colliculus evoked potential
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Data from: Correlated variability in primate superior colliculus depends on functional class
<p><span>Information read-out from populations of neurons depends strongly on the correlated variability within a population, termed r<sub>SC </sub>(spike count correlations). Traditionally, r<sub>SC</sub> is reported as a single value for a population of neurons comprising a brain area. However, single values, like summary statistics, can obscure underlying features of the constituent elements. We predict that in brain areas consisting of distinct subpopulations of neurons, different subpopulations will exhibit distinct levels of r<sub>SC</sub> not captured by the population r<sub>SC</sub>. We tested this idea by recording from neurons in macaque superior colliculus (SC), a structure that contains several subpopulations (or classes) of neurons based on function. We found that during guided saccade tasks, different classes of neurons exhibited differing degrees of r<sub>SC</sub>, which could not be attributed to variations in behavior. Neurons belonging to the "Delay" class displayed a particularly high r<sub>SC</sub>, especially during the delay epoch of tasks that relied on visual working memory. Our finding that r<sub>SC</sub> depends on functional class, as well as the type of task, demonstrate the importance of taking functional subpopulations into account when attempting to model or infer population coding principles in primate SC, or other areas of the brain that contain subpopulations supporting specific functions.</span></p>
Data from: Correlated variability in primate superior colliculus depends on functional class
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Tuned inhibition in perceptual decision-making circuits can explain seemingly suboptimal confidence behavior: S4 data, evidence for tuned inhibition in macaque superior colliculus
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Single-Nucleus RNA Sequencing of Developing and Mature Superior Colliculus Identifies Neuronal Diversity and Candidate Mediators of Circuit Assembly
GEO Series GSE224407. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Effects of eye opening on gene expression in the superficial layers of the rat superior colliculus
GEO Series GSE72787. Rattus norvegicus. 6 samples. Type: Expression profiling by high throughput sequencing.
Multipotent Progenitors Instruct Ontogeny of the Superior Colliculus
GEO Series GSE245106. Mus musculus. 468 samples. Type: Expression profiling by high throughput sequencing.
Mapping Visual Functions onto Molecular Cell Types in the Mouse Superior Colliculus
GEO Series GSE223155. Mus musculus. 5 samples. Type: Expression profiling by high throughput sequencing.
Modular organization of the motor space in the mouse superior colliculus
GEO Series GSE135082. Mus musculus. 19 samples. Type: Expression profiling by high throughput sequencing.
Accessing genetically defined cell types in the Superior Colliculus with transgenic mouse lines
GEO Series GSE287867. Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.