biophysics - Recent changes [en]

TDT RZ6

Lof — Thu, 02 Apr 2026 07:52:16 GMT

Programming

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	==Programming==		==Programming==

	===RPvdsEx===		===RPvdsEx===
	The programming of the RZ6 is done in RPvdsEx, which is a graphical development tool by Tucker Davis Technologies.		The programming of the RZ6 is done in RPvdsEx, which is a graphical development tool by Tucker Davis Technologies.

	===Matlab interface===		===Matlab interface (ActiveX control)===
	The current (as of march 2024) Matlab interface for the TDT devices is based on the function "actxserver". Previously "actxcontrol" was used, but this will be obsolete in the near future.		The current (as of march 2024) Matlab interface for the TDT devices is based on the function "actxserver". Previously "actxcontrol" was used, but this will be obsolete in the near future.

			====Installing ActiveX control====

			*Go to the website of Tucker Davis technologies. Go to support\downloads.
			*Download 'ActiveX Controls'
			*Run the executable
			*When asked for a password use the password 'spider'.

			====Matlab functions====

	The following device driver functions are available in the biofysica toolbox:		The following device driver functions are available in the biofysica toolbox:

EyeSeeCam SCI

Lof — Wed, 01 Apr 2026 11:30:20 GMT

Matlab coding

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	==Matlab coding==		==Matlab coding==

	The EyeSeeCam is connected to a Mac Mini. On the Mac runs an LSL server (for more info about LSL see [[~~Lab Streaming Layer~~]]). In order to get data from the EyeSeeCam you create an lslStream and session in matlab.		The EyeSeeCam is connected to a Mac Mini. On the Mac runs an LSL server (for more info about LSL see [[LabStreamingLayer]]). In order to get data from the EyeSeeCam you create an lslStream and session in matlab.

	Here is an example:		Here is an example:

How to

Lof — Wed, 01 Apr 2026 11:29:38 GMT

Software

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	*How to make a [[Programming a GUI\|Graphical User Interface (GUI)]] in Matlab?		*How to make a [[Programming a GUI\|Graphical User Interface (GUI)]] in Matlab?
	*How to make [[Ripple Sounds]]?		*How to make [[Ripple Sounds]]?
	*How to use [[Lab Streaming Layer]] (aka: LSL)

LabStreamingLayer

Lof — Wed, 01 Apr 2026 11:28:47 GMT

Some devices with LSL

@@ Line 113: / Line 113: @@
 | Labeled Markers
 |-
-| EyeSeeCAm Eyetracker
+| EyeSeeCam Eyetracker
 | EyeSeeCam @ <hostname>
 | ?
 |}

EyeSeeCam SCI

Lof — Wed, 01 Apr 2026 11:23:29 GMT

Matlab programming

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	==Matlab coding==		==Matlab coding==

			The EyeSeeCam is connected to a Mac Mini. On the Mac runs an LSL server (for more info about LSL see [[Lab Streaming Layer]]). In order to get data from the EyeSeeCam you create an lslStream and session in matlab.

			Here is an example:

	type = 'EyeSeeCam @ dcn-pl04';		type = 'EyeSeeCam @ dcn-pl04';
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	</pre>		</pre>

	==Matlab ~~programming~~==		==Matlab code for converting raw data==

	===Functions for converting EyeSeeCam data to double polar data===		===Functions for converting EyeSeeCam data to double polar data===
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	===EyeSeeCam data===		===EyeSeeCam data===
	The recorded data is read from an LSL stream.		The recorded data is read from an LSL stream.
	~~<pre>~~
	~~% todo: LSL streaming parameters~~
	~~</pre>~~
	The lsldata is a struct and has the following fields:		The lsldata is a struct and has the following fields:
	*escdata		*escdata

Lab Streaming Layer

Lof — Wed, 01 Apr 2026 11:15:40 GMT

Matlab Example

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	- Store all incoming data in a single, well‑organized format		- Store all incoming data in a single, well‑organized format

	==LSL in Matlab==		==LSL in Matlab (biofysica toolbox)==

	Generic lsl functions can be found in the biofysica toolbox.		Generic lsl functions can be found in the biofysica toolbox in the directory <..biofysica\liblsl\liblsl-Matlab>.
	*Each lsl-device can have one or more lsl-streams.		*Each lsl-device can have one or more lsl-streams.
	*An lsl-stream is identified by a type and a name.		*An lsl-stream is identified by a type and a name.
	*The function lsl_resolver checks if it can find the requested lslStream on the intranet.		*The function lsl_resolver checks if it can find the requested lslStream on the intranet.
	*When the stream is found you must add it to ~~the~~ session.		*When the stream is found you must add it to a session.
	*The session controls the actual data-acquisition with start and stop.		*The session controls the actual data-acquisition with start and stop.
	*The data is read from the stream.		*The data is read from each stream object.

			==Matlab Example==

			*Open a stream to the EyeSeeCam

			type = 'EyeSeeCam @ dcn-pl04';
			name = 'EyeSeeCam SCI Data';
			lslString = sprintf('type= ''%s'' and name= ''%s''', type, name);
			info=lsl_resolver(lslString);
			lslStream = lsl_istream(info{1});

			*Open a session and add the stream to the session.

			session = lsl_session;
			session.add_stream(lslStream);

			*Start and stop the session and get the data from the stream.

			session.start;
			....wait some time....
			session.stop;
			data = lslStream.read;

			In the directory <...biofysica\liblsl\liblsl-Matlab\examples> you can find more examples (with descriptions in the readme.md file).

Lab Streaming Layer

Lof — Wed, 01 Apr 2026 11:00:41 GMT

Created page with "==Introduction== Lab Streaming Layer (LSL) is an open‑source software framework designed to make it easy to send, receive, and synchronize data streams in real time. It acts like a universal “data highway” that different devices and programs can use to communicate with each other. LSL is commonly used in research settings—especially in neuroscience, psychology, and human‑computer interaction—to collect data from multiple sources at the same time. For example..."

New page

==Introduction==
Lab Streaming Layer (LSL) is an open‑source software framework designed to make it easy to send, receive, and synchronize data streams in real time. It acts like a universal “data highway” that different devices and programs can use to communicate with each other.

LSL is commonly used in research settings—especially in neuroscience, psychology, and human‑computer interaction—to collect data from multiple sources at the same time. For example, you can stream EEG signals, motion‑tracking data, eye‑tracking data, and experiment events through LSL and keep them perfectly time‑aligned.
It is typically used to:
- Connect different sensors and software tools without worrying about compatibility
- Record synchronized data from multiple devices
- Build experiments that require real‑time data exchange
- Store all incoming data in a single, well‑organized format

==LSL in Matlab==

Generic lsl functions can be found in the biofysica toolbox.
*Each lsl-device can have one or more lsl-streams.
*An lsl-stream is identified by a type and a name.
*The function lsl_resolver checks if it can find the requested lslStream on the intranet.
*When the stream is found you must add it to the session.
*The session controls the actual data-acquisition with start and stop.
*The data is read from the stream.

How to

Lof — Wed, 01 Apr 2026 10:46:39 GMT

Software

← Older revision		Revision as of 10:46, 1 April 2026
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	*How to make a [[Programming a GUI\|Graphical User Interface (GUI)]] in Matlab?		*How to make a [[Programming a GUI\|Graphical User Interface (GUI)]] in Matlab?
	*How to make [[Ripple Sounds]]?		*How to make [[Ripple Sounds]]?
			*How to use [[Lab Streaming Layer]] (aka: LSL)

EyeSeeCam SCI

Lof — Wed, 01 Apr 2026 10:45:29 GMT

Matlab coding

← Older revision		Revision as of 10:45, 1 April 2026
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	The EyeSeeCam Sci can record at 250 and and 500 Hz. We are typically recording at 500 Hz.		The EyeSeeCam Sci can record at 250 and and 500 Hz. We are typically recording at 500 Hz.

			==Setup==

			* The EyeSeeCam is connected to a NUC with two USB-C cables.
			* The NUC is connected via ethernet with a Mac Mini.
			* The Mac Mini runs an EyeSeeCam SCI program.
			* The Mac Mini runs an LSL server for data transfer to a Windows Computer
			* The windows computer runs Matlab and connect with an LSL-stream to the LSL server on the Mac Mini.

			==Startup Instructions==

			* Connect the EyeSeeCam to the NUC
			* Remove both lens covers of the EyeSeeCam
			* Start the NUC
			* Start the Mac Mini
			* Login on the Mac Mini to 'EyeSeeCam' with password 'Gimbal'
			* Start the LSL script on the Mac Mini(is on the desktop)
			* Start the EyeSeeCam SCI program on the Mac Mini
			* Start a matlab program on the windows computer (e.g. EG_program.m)
			* Press the <begin> button in the EyeSeeCam SCI program on the Mac Mini (in the top right corner)
			* Let the subject put on the EyeSeeCam
			* Press <prepare> in the EyeSeeCam SCI program on the Mac Mini (shows the traces)
			* Press <start> in the EyeSeeCam SCI program on the Mac Mini (starts collecting data)
			* Start the experiment

			==Matlab coding==



			type = 'EyeSeeCam @ dcn-pl04';
			name = 'EyeSeeCam SCI Data';
			lslString = sprintf('type=''%s'' and name=''%s''', type, name);
			info=lsl_resolver(lslString);
			lslStream = lsl_istream(info{1});

			session = lsl_session;
			session.add_stream(lslStream);

			session.start;
			...wait some time...
			session.stop;
			data = lslStream.read;

	==Construction of a gaze trace==		==Construction of a gaze trace==

Common lab equipment

Lof — Mon, 30 Mar 2026 07:55:32 GMT

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