Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Signal Sequences and Sorting Receptors

Signal Sequences and Sorting Receptors

Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

POCA: a CPG signal analysis algorithm using peak-based feature extraction and machine learning.

Frontiers in neuroscience·2026

Same author

Low-intensity pulsed ultrasound for peripheral nerve regeneration: mechanobiological mechanisms and translational potential.

Journal of translational medicine·2025

Same author

Influence of Sacral and Thoracolumbar Spinal Nerve Electrical Stimulation on Colonic Motility in Anesthetized Yucatan Male Pigs.

Neurogastroenterology and motility·2025

Same author

Distal electrical stimulation enhances neuromuscular reinnervation and satellite cell differentiation for functional recovery.

Stem cell research & therapy·2025

Same author

Sciatic nerve stimulation alleviates neuropathic pain and associated neuroinflammation in the dorsal root ganglia in a rodent model.

Journal of translational medicine·2024

Same author

Dynamic electrical stimulation enhances the recruitment of spinal interneurons by corticospinal input.

Experimental neurology·2023

Search research articles

Related Experiment Video

Updated: Jun 26, 2026

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

NEUSORT2.0: a multiple-channel neural signal processor with systolic array buffer and channel-interleaving processing

Tung-Chien Chen¹, Zhi Yang, Wentai Liu

¹University of California, Santa Cruz, USA. djchen@video.ee.ntu.edu.tw

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 24, 2009

Summary

This study introduces NEUSORT2.0, a novel neural signal processor (NSP) for multi-channel neural recording. It significantly reduces chip area and power consumption compared to previous designs.

More Related Videos

A Procedure for Implanting Organized Arrays of Microwires for Single-unit Recordings in Awake, Behaving Animals

A Procedure for Implanting Organized Arrays of Microwires for Single-unit Recordings in Awake, Behaving Animals

Published on: February 14, 2014

Related Experiment Videos

Last Updated: Jun 26, 2026

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

A Procedure for Implanting Organized Arrays of Microwires for Single-unit Recordings in Awake, Behaving Animals

A Procedure for Implanting Organized Arrays of Microwires for Single-unit Recordings in Awake, Behaving Animals

Published on: February 14, 2014

Area of Science:

Neuroscience
Biomedical Engineering
Computer Engineering

Background:

Advanced neuroprosthetic devices require integrated signal processing for high performance.
Traditional parallel and serial architectures for neural signal processors (NSPs) face challenges in chip area and processing delay.
Efficient processing of multi-channel neural data is crucial for next-generation neural recording systems.

Purpose of the Study:

To develop a novel memory hierarchy for a multi-channel neural signal processor (NSP).
To enable real-time, interleaved signal processing for multiple neural channels without bulky memory.
To improve the area-power efficiency of neural recording systems.

Main Methods:

A memory hierarchy utilizing a systolic array buffer was designed.
The architecture supports interleaved, cycle-basis signal processing across channels.
The system, NEUSORT2.0, was implemented for a 16-channel neural recording system, building upon the NEUSORT1.0 architecture.

Main Results:

NEUSORT2.0 integrates signal processing tightly with the analog frontend interface.
The proposed architecture eliminates the need for bulky memory storage for neural data.
A significant 81.50% saving in the area-power factor was achieved compared to using 16 independent NEUSORT1.0 processors.

Conclusions:

The developed memory hierarchy and NEUSORT2.0 architecture offer a highly efficient solution for multi-channel neural recording.
This approach overcomes the limitations of traditional parallel and serial NSP designs.
NEUSORT2.0 represents a significant advancement in reducing the hardware footprint and power consumption of neural signal processing systems.