BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20261009T152425Z
UID:de48c8e6-a25a-4c1e-828e-e7cc8c00a95f
DTSTART:20270524T070000Z
DTEND:20270528T150000Z
DESCRIPTION:Modern neuroscience and biology increasingly rely on large-scal
 e\, time-resolved datasets\, including electrophysiology\, calcium and lon
 gitudinal imaging\, quantitative behavior\, physiological measurements\, a
 nd multimodal recordings.\n\nSignals and States provides doctoral students
  with a conceptual and practical framework for analysing such data. The co
 urse focuses on how to formulate well-posed scientific questions\, select 
 appropriate quantitative approaches\, interpret high-dimensional structure
  and temporal dynamics\, and critically assess what can and cannot be infe
 rred from complex datasets.\n\nThrough lectures\, discussion\, and hands-o
 n practical sessions\, participants will work with topics including high-d
 imensional representations\, dimensionality reduction\, neural and biologi
 cal dynamics\, state transitions\, quantitative behavior\, encoding and de
 coding\, model validation\, and the distinction between association\, pred
 iction\, and causal interpretation.\n\nNeuroscience provides the principal
  conceptual framework and teaching examples\, while the analytical princip
 les are broadly applicable across biology and biomedicine.
LOCATION:SciLifeLab Solna
SUMMARY:Signals and States: Quantitative Time-Series Analysis in Neuroscien
 ce and Biology
URL;VALUE=URI:https://doctoralcourses.application.ki.se/fubasextern/info?ku
 rs=C4F6132
END:VEVENT
END:VCALENDAR