Publications by authors named "Matthew Battifarano"

In the aftermath of a disruptive event like the onset of the COVID-19 pandemic, it is important for policymakers to quickly understand how people are changing their behavior and their goals in response to the event. Choice modeling is often applied to infer the relationship between preference and behavior, but it assumes that the underlying relationship is stationary: that decisions are drawn from the same model over time. However, when observed decisions outcomes are non-stationary in time because, for example, the agent is changing their behavioral policy over time, existing methods fail to recognize the intent behind these changes.

View Article and Find Full Text PDF

Identifying engineered nanomaterials (ENMs) made from earth-abundant elements in soils is difficult because soil also contains natural nanomaterials (NNMs) containing similar elements. Here, machine learning models using elemental fingerprints and mass distributions of three TiO ENMs and Ti-based NNMs recovered from three natural soils measured by single-particle inductively coupled plasma time-of-flight mass spectrometry (spICP-TOFMS) was used to identify TiO ENMs in soil. Synthesized TiO ENMs were unassociated with other elements (>98%), while 40% of Ti-based ENM particles recovered from wastewater sludge had distinguishable elemental associations.

View Article and Find Full Text PDF

Are sensory estimates formed centrally in the brain and then shared between perceptual and motor pathways or is centrally represented sensory activity decoded independently to drive awareness and action? Questions about the brain's information flow pose a challenge because systems-level estimates of environmental signals are only accessible indirectly as behavior. Assessing whether sensory estimates are shared between perceptual and motor circuits requires comparing perceptual reports with motor behavior arising from the same sensory activity. Extrastriate visual cortex both mediates the perception of visual motion and provides the visual inputs for behaviors such as smooth pursuit eye movements.

View Article and Find Full Text PDF

Synopsis of recent research by authors named "Matthew Battifarano"

  • Matthew Battifarano's recent research focuses on the impact of behavioral changes in response to major disruptions, such as the COVID-19 pandemic, utilizing advanced modeling techniques to analyze non-stationary decision-making processes among ride-hailing drivers.
  • His work also explores the identification of engineered titanium dioxide nanomaterials in soil, employing machine learning and advanced mass spectrometry techniques to differentiate these from natural nanomaterials, highlighting the complexities of environmental monitoring.
  • Additionally, Battifarano investigates the mechanisms of sensory perception and motor coordination in the human brain, studying how sensory estimates influence both perceptual awareness and motor actions, providing insights into cognitive processing in the visual system.