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		<title>My Feed</title>
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		<pubDate>Tue, 10 Sep 2024 13:44:48 GMT</pubDate>
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			<description>&lt;p&gt; I am more than pleased to share my first, first author pre-print with the irrepressible @maxdiluca &amp;amp; @Jennifer_L_Cook &amp;#39;Biological kinematics: a detailed review of the velocity-curvature power law calculation&amp;#39; &lt;a href=&quot;https://doi.org/10.31234/osf.io/vfq3d&quot;&gt;https://doi.org/10.31234/osf.io/vfq3d&lt;/a&gt;. A short thread on the paper &amp;amp; a story of how an Electronic Engineer ended up doing a #PhD in Psychology!&lt;/p&gt;&#10;&lt;p&gt;The velocity-curvature power law is ubiquitous in biological movement &amp;amp; deceptively simple; tight curves, slower movement! Lacquaniti et al. in 1983 had found an empirical power of ~1/3 linking curvature &amp;amp; velocity. It&amp;#39;s since been hailed as a kinematic law of nature, potentially underlying all biological movement? Any candidate fundamental law should have a vetted, open source, method of calculation. The lack of such a toolkit, we aim to remedy with our paper.&lt;/p&gt;&#10;&lt;p&gt;Often research is a Garden of Forking Paths, giving variable outcomes for differing analyses, but in the power law&amp;#39;s case the 1/3 value has enormous gravity. Each step in the power law calculation– filtering, differentiation &amp;amp; regression – can potentially bias towards 1/3. We distil a toolkit, building on key insights from the literature, &amp;amp; demonstrate it does not fall foul of this bias; &lt;a href=&quot;https://github.com/dagmarfraser/velocity-curvature-power-law-protocol&quot;&gt;https://github.com/dagmarfraser/velocity-curvature-power-law-protocol&lt;/a&gt;&lt;/p&gt;&#10;&lt;p&gt;The code &amp;amp; discussions are relevant to all #kinematics research using zero lag 10Hz low pass Butterworth filters, using finite differences differentiation (velocity to acceleration to jerk), or employing linear regression after a log projection in the presence of measurement uncertainties.&lt;/p&gt;&#10;&lt;p&gt;If you made it this far.. you are probably wondering how did an Electronic Engineer end up as a #Psychologist? I blame #MATLAB. I first encountered MATLAB in an asylum! @EdinburghNapier&amp;#39;s Craiglockart campus is the former WW1 military psychiatric hospital, where the shell-shocked Sassoon &amp;amp; Owen penned some of their most famous works.&lt;/p&gt;&#10;&lt;p&gt;It&amp;#39;s summer &amp;#39;98 &amp;amp; I&amp;#39;m a newly minted BEng(Hons) Electronic &amp;amp; Communication Engineer quantifying filters for CCD cameras… in #MATLAB! It&amp;#39;s completely new to me, but it&amp;#39;s like programming BASIC on my ZX Spectrum+ in my bedroom in the 80&amp;#39;s. A sense of play. The immediate feedback from the IDE doled out the perfect dopamine hit.&lt;/p&gt;&#10;&lt;p&gt;Now it&amp;#39;s 2007 &amp;amp; I am just back from being a seasonaire in @Courchevel &amp;amp; I need a &amp;#39;real&amp;#39; job sharpish, but I recall that halcyon summer of &amp;#39;98, so I type #MATLAB into jobs.ac.uk – &amp;amp; hit enter. The top hit is Sensory Motor Neuroscience Lab at UoB (hey @dr_mte). Wait, do they even use #MATLAB in Psychology?&lt;/p&gt;&#10;&lt;p&gt;Transpires the PsychoPhysics Toolbox (@psychtoolbox, send them money! &lt;a href=&quot;https://xkcd.com/2347/&quot;&gt;https://xkcd.com/2347/&lt;/a&gt; ) transforms a humble desktop PC into a near perfect psychology experiment hosting battlestation. Thus, you can run the experiment in #MATLAB &amp;amp; analyse the data there too. The perfect playground for me. They paid me to do this!&lt;/p&gt;&#10;&lt;p&gt;It&amp;#39;s 2018 now a decade+ of experience coding MATLAB experiments &amp;amp; analysis suites for Psychologists. I have made every possible mistake at least twice. @Jennifer_L_Cook hires me as an iOS Programmer, but we get sidetracked when I foolishly say I can reimplement Fig. 8 from Huh &amp;amp; Sejnowki&amp;#39;s 2015 Spectrum of Power Laws for novel data, from autistic participants.&lt;/p&gt;&#10;&lt;p&gt;It awoke half remembered knowledge of FFTs &amp;amp; filters from my Elec Eng undergrad and gelled with everything from the last decade. Deeper &amp;amp; deeper down the rabbit hole I went. We recognised the need for the vetted toolkit to tease apart the effect of analysis choices from the underlying data, so in 2022 an Electronic Engineer starts a PT PhD in Psychology because of #MATLAB. This is probably not the most directly useful career advice but MATLAB can open doors!&lt;/p&gt;</description>
			<pubDate>Tue, 10 Sep 2024 13:44:48 GMT</pubDate>
			<link>https://blue.feedland.org/?item=604430</link>
			<guid>https://blue.feedland.org/?item=604430</guid>
			<source:markdown>I am more than pleased to share my first, first author pre-print with the irrepressible @maxdiluca &amp; @Jennifer\_L\_Cook 'Biological kinematics: a detailed review of the velocity-curvature power law calculation' https://doi.org/10.31234/osf.io/vfq3d. A short thread on the paper &amp; a story of how an Electronic Engineer ended up doing a #PhD in Psychology!&#10;&#10;The velocity-curvature power law is ubiquitous in biological movement &amp; deceptively simple; tight curves, slower movement! Lacquaniti et al. in 1983 had found an empirical power of ~1/3 linking curvature &amp; velocity. It's since been hailed as a kinematic law of nature, potentially underlying all biological movement? Any candidate fundamental law should have a vetted, open source, method of calculation. The lack of such a toolkit, we aim to remedy with our paper.&#10;&#10;Often research is a Garden of Forking Paths, giving variable outcomes for differing analyses, but in the power law's case the 1/3 value has enormous gravity. Each step in the power law calculation– filtering, differentiation &amp; regression – can potentially bias towards 1/3. We distil a toolkit, building on key insights from the literature, &amp; demonstrate it does not fall foul of this bias; https://github.com/dagmarfraser/velocity-curvature-power-law-protocol&#10;&#10;The code &amp; discussions are relevant to all #kinematics research using zero lag 10Hz low pass Butterworth filters, using finite differences differentiation (velocity to acceleration to jerk), or employing linear regression after a log projection in the presence of measurement uncertainties.&#10;&#10;If you made it this far.. you are probably wondering how did an Electronic Engineer end up as a #Psychologist? I blame #MATLAB. I first encountered MATLAB in an asylum! @EdinburghNapier's Craiglockart campus is the former WW1 military psychiatric hospital, where the shell-shocked Sassoon &amp; Owen penned some of their most famous works.&#10;&#10;It's summer '98 &amp; I'm a newly minted BEng(Hons) Electronic &amp; Communication Engineer quantifying filters for CCD cameras… in #MATLAB! It's completely new to me, but it's like programming BASIC on my ZX Spectrum+ in my bedroom in the 80's. A sense of play. The immediate feedback from the IDE doled out the perfect dopamine hit.&#10;&#10;Now it's 2007 &amp; I am just back from being a seasonaire in @Courchevel &amp; I need a 'real' job sharpish, but I recall that halcyon summer of '98, so I type #MATLAB into jobs.ac.uk – &amp; hit enter. The top hit is Sensory Motor Neuroscience Lab at UoB (hey @dr\_mte). Wait, do they even use #MATLAB in Psychology?&#10;&#10;Transpires the PsychoPhysics Toolbox (@psychtoolbox, send them money! https://xkcd.com/2347/ ) transforms a humble desktop PC into a near perfect psychology experiment hosting battlestation. Thus, you can run the experiment in #MATLAB &amp; analyse the data there too. The perfect playground for me. They paid me to do this!&#10;&#10;It's 2018 now a decade+ of experience coding MATLAB experiments &amp; analysis suites for Psychologists. I have made every possible mistake at least twice. @Jennifer\_L\_Cook hires me as an iOS Programmer, but we get sidetracked when I foolishly say I can reimplement Fig. 8 from Huh &amp; Sejnowki's 2015 Spectrum of Power Laws for novel data, from autistic participants.&#10;&#10;It awoke half remembered knowledge of FFTs &amp; filters from my Elec Eng undergrad and gelled with everything from the last decade. Deeper &amp; deeper down the rabbit hole I went. We recognised the need for the vetted toolkit to tease apart the effect of analysis choices from the underlying data, so in 2022 an Electronic Engineer starts a PT PhD in Psychology because of #MATLAB. This is probably not the most directly useful career advice but MATLAB can open doors!</source:markdown>
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			<description>&lt;p&gt;I am more than pleased to share my first, first author pre-print with the irrepressible @maxdiluca &amp;amp; @Jennifer_L_Cook &amp;#39;Biological kinematics: a detailed review of the velocity-curvature power law calculation&amp;#39; &lt;a href=&quot;https://doi.org/10.31234/osf.io/vfq3d&quot;&gt;https://doi.org/10.31234/osf.io/vfq3d&lt;/a&gt;. A short thread on the paper &amp;amp; a story of how an Electronic Engineer ended up doing a #PhD in Psychology!&lt;/p&gt;&#10;&lt;p&gt;The velocity-curvature power law is ubiquitous in biological movement &amp;amp; deceptively simple; tight curves, slower movement! Lacquaniti et al. in 1983 had found an empirical power of ~1/3 linking curvature &amp;amp; velocity. It&amp;#39;s since been hailed as a kinematic law of nature, potentially underlying all biological movement? Any candidate fundamental law should have a vetted, open source, method of calculation. The lack of such a toolkit, we aim to remedy with our paper.&lt;/p&gt;&#10;&lt;p&gt;Often research is a Garden of Forking Paths, giving variable outcomes for differing analyses, but in the power law&amp;#39;s case the 1/3 value has enormous gravity. Each step in the power law calculation– filtering, differentiation &amp;amp; regression – can potentially bias towards 1/3. We distil a toolkit, building on key insights from the literature, &amp;amp; demonstrate it does not fall foul of this bias; &lt;a href=&quot;https://github.com/dagmarfraser/velocity-curvature-power-law-protocol&quot;&gt;https://github.com/dagmarfraser/velocity-curvature-power-law-protocol&lt;/a&gt;&lt;/p&gt;&#10;&lt;p&gt;The code &amp;amp; discussions are relevant to all #kinematics research using zero lag 10Hz low pass Butterworth filters, using finite differences differentiation (velocity to acceleration to jerk), or employing linear regression after a log projection in the presence of measurement uncertainties.&lt;/p&gt;&#10;&lt;p&gt;If you made it this far.. you are probably wondering how did an Electronic Engineer end up as a #Psychologist? I blame #MATLAB. I first encountered MATLAB in an asylum! @EdinburghNapier&amp;#39;s Craiglockart campus is the former WW1 military psychiatric hospital, where the shell-shocked Sassoon &amp;amp; Owen penned some of their most famous works.&lt;/p&gt;&#10;&lt;p&gt;It&amp;#39;s summer &amp;#39;98 &amp;amp; I&amp;#39;m a newly minted BEng(Hons) Electronic &amp;amp; Communication Engineer quantifying filters for CCD cameras… in #MATLAB! It&amp;#39;s completely new to me, but it&amp;#39;s like programming BASIC on my ZX Spectrum+ in my bedroom in the 80&amp;#39;s. A sense of play. The immediate feedback from the IDE doled out the perfect dopamine hit.&lt;/p&gt;&#10;&lt;p&gt;Now it&amp;#39;s 2007 &amp;amp; I am just back from being a seasonaire in @Courchevel &amp;amp; I need a &amp;#39;real&amp;#39; job sharpish, but I recall that halcyon summer of &amp;#39;98, so I type #MATLAB into jobs.ac.uk – &amp;amp; hit enter. The top hit is Sensory Motor Neuroscience Lab at UoB (hey @dr_mte). Wait, do they even use #MATLAB in Psychology?&lt;/p&gt;&#10;&lt;p&gt;Transpires the PsychoPhysics Toolbox (@psychtoolbox, send them money! &lt;a href=&quot;https://xkcd.com/2347/&quot;&gt;https://xkcd.com/2347/&lt;/a&gt; ) transforms a humble desktop PC into a near perfect psychology experiment hosting battlestation. Thus, you can run the experiment in #MATLAB &amp;amp; analyse the data there too. The perfect playground for me. They paid me to do this!&lt;/p&gt;&#10;&lt;p&gt;It&amp;#39;s 2018 now a decade+ of experience coding MATLAB experiments &amp;amp; analysis suites for Psychologists. I have made every possible mistake at least twice. @Jennifer_L_Cook hires me as an iOS Programmer, but we get sidetracked when I foolishly say I can reimplement Fig. 8 from Huh &amp;amp; Sejnowki&amp;#39;s 2015 Spectrum of Power Laws for novel data, from autistic participants.&lt;/p&gt;&#10;&lt;p&gt;It awoke half remembered knowledge of FFTs &amp;amp; filters from my Elec Eng undergrad and gelled with everything from the last decade. Deeper &amp;amp; deeper down the rabbit hole I went. We recognised the need for the vetted toolkit to tease apart the effect of analysis choices from the underlying data, so in 2022 an Electronic Engineer starts a PT PhD in Psychology because of #MATLAB. This is probably not the most directly useful career advice but MATLAB can open doors!&lt;/p&gt;</description>
			<pubDate>Tue, 10 Sep 2024 13:44:46 GMT</pubDate>
			<link>https://blue.feedland.org/?item=604429</link>
			<guid>https://blue.feedland.org/?item=604429</guid>
			<source:markdown>I am more than pleased to share my first, first author pre-print with the irrepressible @maxdiluca &amp; @Jennifer\_L\_Cook 'Biological kinematics: a detailed review of the velocity-curvature power law calculation' https://doi.org/10.31234/osf.io/vfq3d. A short thread on the paper &amp; a story of how an Electronic Engineer ended up doing a #PhD in Psychology!&#10;&#10;The velocity-curvature power law is ubiquitous in biological movement &amp; deceptively simple; tight curves, slower movement! Lacquaniti et al. in 1983 had found an empirical power of ~1/3 linking curvature &amp; velocity. It's since been hailed as a kinematic law of nature, potentially underlying all biological movement? Any candidate fundamental law should have a vetted, open source, method of calculation. The lack of such a toolkit, we aim to remedy with our paper.&#10;&#10;Often research is a Garden of Forking Paths, giving variable outcomes for differing analyses, but in the power law's case the 1/3 value has enormous gravity. Each step in the power law calculation– filtering, differentiation &amp; regression – can potentially bias towards 1/3. We distil a toolkit, building on key insights from the literature, &amp; demonstrate it does not fall foul of this bias; https://github.com/dagmarfraser/velocity-curvature-power-law-protocol&#10;&#10;The code &amp; discussions are relevant to all #kinematics research using zero lag 10Hz low pass Butterworth filters, using finite differences differentiation (velocity to acceleration to jerk), or employing linear regression after a log projection in the presence of measurement uncertainties.&#10;&#10;If you made it this far.. you are probably wondering how did an Electronic Engineer end up as a #Psychologist? I blame #MATLAB. I first encountered MATLAB in an asylum! @EdinburghNapier's Craiglockart campus is the former WW1 military psychiatric hospital, where the shell-shocked Sassoon &amp; Owen penned some of their most famous works.&#10;&#10;It's summer '98 &amp; I'm a newly minted BEng(Hons) Electronic &amp; Communication Engineer quantifying filters for CCD cameras… in #MATLAB! It's completely new to me, but it's like programming BASIC on my ZX Spectrum+ in my bedroom in the 80's. A sense of play. The immediate feedback from the IDE doled out the perfect dopamine hit.&#10;&#10;Now it's 2007 &amp; I am just back from being a seasonaire in @Courchevel &amp; I need a 'real' job sharpish, but I recall that halcyon summer of '98, so I type #MATLAB into jobs.ac.uk – &amp; hit enter. The top hit is Sensory Motor Neuroscience Lab at UoB (hey @dr\_mte). Wait, do they even use #MATLAB in Psychology?&#10;&#10;Transpires the PsychoPhysics Toolbox (@psychtoolbox, send them money! https://xkcd.com/2347/ ) transforms a humble desktop PC into a near perfect psychology experiment hosting battlestation. Thus, you can run the experiment in #MATLAB &amp; analyse the data there too. The perfect playground for me. They paid me to do this!&#10;&#10;It's 2018 now a decade+ of experience coding MATLAB experiments &amp; analysis suites for Psychologists. I have made every possible mistake at least twice. @Jennifer\_L\_Cook hires me as an iOS Programmer, but we get sidetracked when I foolishly say I can reimplement Fig. 8 from Huh &amp; Sejnowki's 2015 Spectrum of Power Laws for novel data, from autistic participants.&#10;&#10;It awoke half remembered knowledge of FFTs &amp; filters from my Elec Eng undergrad and gelled with everything from the last decade. Deeper &amp; deeper down the rabbit hole I went. We recognised the need for the vetted toolkit to tease apart the effect of analysis choices from the underlying data, so in 2022 an Electronic Engineer starts a PT PhD in Psychology because of #MATLAB. This is probably not the most directly useful career advice but MATLAB can open doors!</source:markdown>
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