[Chicago] ChiPy Topics

[Brian Ray]

A couple really great talks up for the ChiPy meeting next week:


   - *Hidden Markov Models to improve activity recognition in patients with
   spinal cord injury*
   (0:15:00 Minutes)
   By: Asma Mehjabeen
   Fitness tracking is great for calories and steps, but similar sensors
   are capable of reporting much more about how we move throughout the day.
   This is especially important in assessing the quality of movement for those
   with limited mobility. Doctors often want to know more detail about patient
   behavior after therapy to select and adjust the appropriate intervention.
   Using machine learning on wearable accelerometer signals, we estimate the
   activities patients with incomplete spinal cord injury are performing. By
   combining windowed classifier estimates over time using a hidden markov
   model, we show how error rates can be significantly decreased, which brings
   more detailed assessments of patient activity closer to a clinical reality.
   - *Innate learning: training the brain before the eyes open*
   (0:15:00 Minutes)
   By: Isaac Adorno
   Amorphous, blob-like patterns of neural activity form and move over the
   eye during visual development in animals. Why do such patterns exist? We
   show that these patterns are this way to better prepare the visual system
   for natural vision. Essentially, these are movies played in the eyes to
   refine the visual system before the eyes even open. We use python to model
   the developing visual system, produce an efficient code based on those
   patterns, and show how that code matches what is seen biologically. In this
   way, we show that during your early development you are learning from
   innately generated patterns - a unique twist in the debates of nature and
   nurture.


RSVP here is open http://chipy.org


-- 
Brian Ray
@brianray
(773) 669-7717
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