<div dir="ltr"><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial">Dear colleagues,</span><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial"><br></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial"><div>I am happy to send a reminder for a <b>one week-long neuroscience data analysis course</b> at the Radboud University in Netherlands in August 2018. The course covers fundamental topics in linear algebra (matrix multiplication, inverses, eigendecomposition), and key topics<span> that are relevant for multichannel neural time series data, including </span>source-separation and linear model fitting.</div><div><br></div><div><div>Below is the direct link to the course page with application information. You can also find more information, including the planned syllabus, on <a href="http://mikexcohen.com/" target="_blank" style="color:rgb(17,85,204)">mikexcohen.com</a> (scroll down to "In-vivo teaching"). <b>Please pass these links around to your colleagues/students who might be interested in this course!</b></div><div><br></div><div><div><a href="http://www.ru.nl/radboudsummerschool/courses/2018/linear-algebra-neuroscientists" target="_blank"><span class="gmail-il">Linear</span> <span class="gmail-il">algebra</span> for neuroscientists</a> (13-17 August). Matrix <span class="gmail-il">algebra</span>, least-squares model fitting, eigendecomposition, multivariate source separation, state-space analyses, simulating multicomponent and multichannal time series data.<br></div></div><div><br></div><div><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial">(NOTE: The <a href="http://www.ru.nl/radboudsummerschool/courses/2018/analyzing-neural-time-series-data/" target="_blank" style="color:rgb(17,85,204)">Analyzing neural time series data</a> is SOLD OUT! We are currently looking into organizing a second offering of this course.)</div><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial"><br></div></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial">Applications are accepted until the course is sold out. However, there is an early-bird discount for applications accepted before 1 April.</div><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:rgb(255,255,255);text-decoration-style:initial;text-decoration-color:initial"><br></div><div>If you have questions about the course, please feel free to contact me.<br></div></div><div><br></div><div>Mike</div></div><br clear="all"><div><br></div>-- <br><div class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><font color="#9900ff">Mike X Cohen, PhD</font><br><font color="#444444" size="1">New online courses: <a href="http://mikexcohen.com" target="_blank">mikexcohen.com</a></font></div></div></div></div></div></div></div></div>
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