Research in the Hafed lab aims to investigate the neural mechanisms through which visual perception interacts with motor control. We employ techniques for monitoring and focally perturbing neural activity, coupled with computational neuroscience and careful behavioral control, to understand the functional contribution of individual brain circuits in coordinating perception and action. Besides clarifying our understanding of the sense of vision, our research also sheds light on how neural activity that is distributed across multiple brain areas is organized to support behavior.
Humans are tremendously reliant on vision to interact with their environment. Such interaction often involves the generation of motor outputs in response to visual stimuli, but these outputs themselves can alter the sensory inputs used by the visual system. This is particularly true of eye movements, which are necessary for high-acuity vision but at the same time cause the largest and most frequent disruptions to the retinal images projected from the eyes to the brain. Our primary focus is on understanding how eye movements may serve and influence visual perception.
Whenever we maintain steady gaze at an object of interest, our eyes never remain still. Instead, they undergo several types of ‘fixational’ movements, including ones designated as ‘microsaccades’ and others referred to as ‘drifts’. Microsaccades are extremely small versions of the saccadic eye movements that we employ in everyday life to scan our visual environment, but they never displace retinal images of the objects we are looking at away from the fovea; drifts are slow meandering movements of the eyes between two successive saccades or microsaccades. Even though microsaccades and drifts were discovered several decades ago, the brain mechanisms for generating and controlling them remain largely unknown. Through the use of neuronal recording, reversible activation or inactivation of subsets of neuronal populations, and computer simulations, we are investigating the mechanisms for generating these eye movements. One of our long-term goals is to uncover the full extent of brain control over fixational eye movements and when/why different types of eye movements may be triggered.
Eye movements, no matter how small, displace retinal images whenever they occur. However, simple introspection reveals that we do not perceptually experience moving images whenever we move our eyes and bodies. Thus, understanding any changes in sensory processing that may arise as a result of self-motion is important for understanding how we continue to perceive a stable environment despite being active organisms. To address this question, we focus on interactions between fast or slow eye movements and neural visual sensitivity in multiple brain areas.
We design and employ behavioral tasks that use more complex visual stimuli than the minimalist spots, which are overwhelmingly common in oculomotor research. Similar to scenes in many natural human perceptual experiences, such visual stimuli require a transfer of information from the sensory domain to the motor domain and therefore allow us to ask important questions about the neural mechanisms underlying such transformations. For example, one such question relates to the function of the superior colliculus (SC) and how it supports orienting behaviors. Using a combination of experimental and modeling techniques, we are recasting traditional views of the SC to provide a new conceptual framework for understanding this structure's involvement in higher-level sensory and cognitive processes. This is serving as an important basis for understanding how eye movements (including fixational eye movements) interact with cognition.
Learn more about our work here.
Willeke, K. F.*, Tian, X.*, Buonocore, A.*, Bellet, J., Ramirez-Cardenas, A. & Hafed, Z. M. (2019). Memory-guided microsaccades. Nature Communications, 10: 3710, doi: 10.1038/s41467-019-11711-x.
Chen, C. -Y., Hoffmann, K.-P., Distler, C., & Hafed, Z. M. (2019). The foveal visual representation of the primate superior colliculus. Current Biology, 29: 2109-2119, doi: 10.1016/j.cub.2019.05.040.
Chen, C. -Y., Sonnenberg, L., Weller, S., Witschel, T., & Hafed, Z. M. (2018). Spatial frequency sensitivity in macaque midbrain. Nature Communications, 9: 2852, doi: 10.1038/s41467-018-05302-5.
Hafed, Z. M. & Chen, C. -Y. (2016). Sharper, stronger, faster upper visual field representation in primate superior colliculus. Current Biology, Vol. 26, pp. 1647-1658.
Hafed, Z. M., Chen, C. -Y., & Tian, X. (2015). Vision, perception, and attention through the lens of microsaccades: mechanisms and implications. Frontiers in Systems Neuroscience (Special Research Topic on Perisaccadic Vision), 9:167. doi: 10.3389/fnsys.2015.00167.
Chen, C. -Y., Ignashchenkova, A., Thier, P., & Hafed, Z. M. (2015). Neuronal response gain enhancement prior to microsaccades. Current Biology, Vol. 25, pp. 2065-2074.
Hafed, Z. M. (2013). Alteration of visual perception prior to microsaccades. Neuron, Vol. 77, pp. 775-786.
Hafed, Z. M., Goffart, L., & Krauzlis, R. J. (2009). A neural mechanism for microsaccade generation in the primate superior colliculus. Science, Vol. 323, No. 5916, pp. 940-943.
Hafed, Z. M. & Krauzlis, R. J. (2006). Ongoing eye movements constrain visual perception. Nature Neuroscience, Vol. 9, No. 11, pp. 1449-1457.
Hafed, Z. M. & Clark, J. J. (2002). Microsaccades as an overt measure of covert attention shifts. Vision Research, Vol. 42, No. 22, pp. 2533-2545.