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Zelinsky, G. J.

Publications and source records attributed to Zelinsky, G. J..

3 recordsLinked to original sources

Multiple patterns of selectivity in superior colliculus control visual search

Visual search is a ubiquitous behavior for many animal species, but efficient search performance requires a relatively complex integration of target guidance and behavioral history signals. In this study, we investigate how the superior colliculus (SC), a midbrain area implicated in the control of overt spatial attention, integrates these two control signals in a multi-target search task. Monkeys made sequences of saccades to stimuli presented in a grid while searching for a "true" (reward eliciting) target amid color-coded targets and distractors. The efficient performance of this task requires integrating a target guidance signal with a history of previously fixated locations in order to guide search to new potential targets that might offer reward. Theories of systems neuroscience suggest that this multi-factor search behavior might be controlled using either mixed selectivity, dynamic selectivity, or pure selectivity. We find evidence for SC neurons exhibiting each of these patterns and conclude that this brain structure participates in circuits representing target similarity and previously fixated locations, in addition to a circuit responsible for integrating these signals using the mechanisms of dynamic and mixed selectivity. We also introduce a novel time-series partial information decomposition analysis that provides a rich and direct view of how a neuron allocates its representational capacity. These findings support an emerging view of the superior colliculus as much more than a bottom-up priority map, but instead an important site for the flexible cognitive control of visually-guided behavior.

neuroscience↗

Evaluating theories of neural information integration during visual search

The brain routes and integrates information from many sources during behavior. A number of models explain this phenomenon within the framework of mixed selectivity theory, yet it is difficult to compare their predictions to understand how neurons and circuits integrate information. In this work, we apply time-series partial information decomposition [PID] to compare models of integration on a dataset of superior colliculus [SC] recordings collected during a multi-target visual search task. On this task, SC must integrate target guidance, bottom-up salience, and previous fixation signals to drive attention. We find evidence that SC neurons integrate these factors in diverse ways, including decision-variable selectivity to expected value, functional specialization to previous fixation, and code-switching (to incorporate new visual input).

neuroscience↗

Readers move their eyes mindlessly using midbrain visuo-motor principles

Saccadic eye movements rapidly shift our gaze over 100,000 times daily, enabling countless tasks ranging from driving to reading. Long regarded as a window to the mind1 and human information processing2, they are thought to be cortically/cognitively controlled movements aimed at objects/words of interest3-10. Saccades however involve a complex cerebral network11-13 wherein the contribution of phylogenetically older sensory-motor pathways14-15 remains unclear. Here we show using a neuro-computational approach16 that mindless visuo-motor computations, akin to reflexive orienting responses17 in neonates18-19 and vertebrates with little neocortex15,20, guide humans eye movements in a quintessentially cognitive task, reading. These computations occur in the superior colliculus, an ancestral midbrain structure15, that integrates retinal and (sub)cortical afferent signals13 over retinotopically organized, and size-invariant, neuronal populations21. Simply considering retinal and primary-visual-cortex afferents, which convey the distribution of luminance contrast over sentences (visual-saliency map22), we find that collicular population-averaging principles capture readers prototypical word-based oculomotor behavior2, leaving essentially rereading behavior unexplained. These principles reveal that inter-word spacing is unnecessary23-24, explaining metadata across languages and writing systems using only print size as a predictor25-26. Our findings demonstrate that saccades, rather than being a window into cognitive/linguistic processes, primarily reflect rudimentary visuo-motor mechanisms in the midbrain that survived brain-evolution pressure27.

neuroscience↗