ScienceBeam is a forefront of technology provider of innovative solutions of electrophysiology system such as data-acquisition, microelectrode amplifier, stimulator and recording and analysis software for recording of neural signals from the brain and peripheral nervous system.

ScienceBeam founded by Dr. Seyed Mohammad Noorbakhsh, and now it is a team of engineers, programmers and neuroscientists with expertise in research, product development, and advanced neurotechnology research systems.

We also hold many workshops and courses in the field of electrophysiology for the aim of education, research and collaboration for students, scientists and clinicians.

ScienceBeam designs, builds, and markets advanced hardware and software that is used to acquire, amplify, record, and analyze action potential/LFP/EEG signals from nervous system and recording of behavioral and stimulus events. ScienceBeam's products enable online, real-time visualization of neural signals relative to external events and stimuli.

This data is used for a wide variety of purposes, such as:

• Studying basic information processing in the brain relating to visual, auditory, motor, memory, and other neural functions
• Studying the effects of drugs and toxins on brain information processing
• Controlling external devices such as prosthetic limbs or brain machine system
• help to develop neural implant to restore some brain and spinal cord functionality by electrical stimulation

We plan research projects in the field of electrophysiology, Electronics, Medical devices and signal processing.

We share research ideas and collaborate with researchers and scientists.

Our goal is to build an environment to expand science border in the field of neural prostheses, neural diagnosis and treatment by electrophysiology.

We design and market some edge of science and technology tools for running electrophysiological experiment by scientists around the world to make their scientific dreams to be real.

Contact us if need our help

=       Closed loop Deep brain stimulator for Parkinson disease 

=       Spinal cord electrical stimulation and recording for bladder control in spinal cord injuries

=       A Online lossless FPGA based single unite data compression (recorded deeply from animal and human brain) 

=       Real time image presentation and data collection by FPGA and HDMI controller

=       Automatic Online spike sorting by fuzzy clustering and fuzzy PSTH

=       High resolution TMS

=       Auditory signal frequency analysis

=       Cochlear implant stimulator design

=       Cochlear implant modeling      

=       A flexible FPGA based CPU for online digital signal filtering and compression

=       A FPGA based CPU for generating stimulation timing pattern

=       A device for measuring resistance, capacitance and impedance of microelectrode

=       A software procedure for scaling, refreshing and lossless visualization of neural signal

=       A software procedure for online spike sorting using amplitude window discrimination method

=       A Device for Mechanical Stimulation of Rodent Whiskers 

=       A Microelectrode Amplifier-Digitizer for simultaneously recording of LFP, ECoG and Single Unit signals by same electrode