scholarly journals AJILE12: Long-term naturalistic human intracranial neural recordings and pose

2021 ◽  
Author(s):  
Steven M Peterson ◽  
Satpreet H Singh ◽  
Benjamin Dichter ◽  
Michael Scheid ◽  
Rajesh P. N. Rao ◽  
...  
Keyword(s):  
Human Movement ◽  
Upper Body ◽  
Neural Basis ◽  
Wrist Movement ◽  
Neural Recordings ◽  
Video Frames ◽  
Neuroscience Research ◽  
Human Participants ◽  
Epilepsy Monitoring

Understanding the neural basis of human movement in naturalistic scenarios is critical for expanding neuroscience research beyond constrained laboratory paradigms. Here, we describe our Annotated Joints in Long-term Electrocorticography for 12 human participants (AJILE12) dataset, the largest human neurobehavioral dataset that is publicly available; the dataset was recorded opportunistically during passive clinical epilepsy monitoring. AJILE12 includes synchronized intracranial neural recordings and upper body pose trajectories across 55 semi-continuous days of naturalistic movements, along with relevant metadata, including thousands of wrist movement events and annotated behavioral states. Neural recordings are available at 500 Hz from at least 64 electrodes per participant, for a total of 1280 hours. Pose trajectories at 9 upper-body keypoints were estimated from 118 million video frames. To facilitate data exploration and reuse, we have shared AJILE12 on The DANDI Archive in the Neurodata Without Borders (NWB) data standard and developed a browser-based dashboard.

scholarly journals Two Stage Continuous Gesture Recognition Based on Deep Learning

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 534
Author(s):  
Huogen Wang
Keyword(s):  
Gesture Recognition ◽  
Large Scale ◽  
Short Term Memory ◽  
Short Term ◽  
Hand Motion ◽  
Spatiotemporal Features ◽  
Spatiotemporal Information ◽  
Video Frames ◽  
Depth Sequences

The paper proposes an effective continuous gesture recognition method, which includes two modules: segmentation and recognition. In the segmentation module, the video frames are divided into gesture frames and transitional frames by using the information of hand motion and appearance, and continuous gesture sequences are segmented into isolated sequences. In the recognition module, our method exploits the spatiotemporal information embedded in RGB and depth sequences. For the RGB modality, our method adopts Convolutional Long Short-Term Memory Networks to learn long-term spatiotemporal features from short-term spatiotemporal features obtained from a 3D convolutional neural network. For the depth modality, our method converts a sequence into Dynamic Images and Motion Dynamic Images through weighted rank pooling and feed them into Convolutional Neural Networks, respectively. Our method has been evaluated on both ChaLearn LAP Large-scale Continuous Gesture Dataset and Montalbano Gesture Dataset and achieved state-of-the-art performance.

scholarly journals Routes to Research for Novice Undergraduate Neuroscientists

2006 ◽  
Vol 5 (2) ◽  
pp. 175-187 ◽  
Author(s):  
Kyle J. Frantz ◽  
Robert L. DeHaan ◽  
Melissa K. Demetrikopoulos ◽  
Laura L. Carruth
Keyword(s):  
Undergraduate Students ◽  
Attitudes Toward Science ◽  
Laboratory Research ◽  
Research Experience ◽  
Neuroscience Research ◽  
Long Term Follow Up ◽  
Apprenticeship Model ◽  
Design Experiments

Undergraduate students may be attracted to science and retained in science by engaging in laboratory research. Experience as an apprentice in a scientist's laboratory can be effective in this regard, but the pool of willing scientists is sometimes limited and sustained contact between students and faculty is sometimes minimal. We report outcomes from two different models of a summer neuroscience research program: an Apprenticeship Model (AM) in which individual students joined established research laboratories, and a Collaborative Learning Model (CLM) in which teams of students worked through a guided curriculum and then conducted independent experimentation. Assessed outcomes included attitudes toward science, attitudes toward neuroscience, confidence with neuroscience concepts, and confidence with science skills, measured via pre-, mid-, and postprogram surveys. Both models elevated attitudes toward neuroscience, confidence with neuroscience concepts, and confidence with science skills, but neither model altered attitudes toward science. Consistent with the CLM design emphasizing independent experimentation, only CLM participants reported elevated ability to design experiments. The present data comprise the first of five yearly analyses on this cohort of participants; long-term follow-up will determine whether the two program models are equally effective routes to research or other science-related careers for novice undergraduate neuroscientists.

scholarly journals An approach for long-term, multi-probe Neuropixels recordings in unrestrained rats

eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Thomas Zhihao Luo ◽  
Adrian Gopnik Bondy ◽  
Diksha Gupta ◽  
Verity Alexander Elliott ◽  
Charles D Kopec ◽  
...  
Keyword(s):  
Cost Effective ◽  
New Approach ◽  
Neural Recordings ◽  
Chronic Recording ◽  
Long Term Stability ◽  
Multiple Cycles ◽  
Single Unit Recordings ◽  
Freely Moving ◽  
High Yields

The use of Neuropixels probes for chronic neural recordings is in its infancy and initial studies leave questions about long-term stability and probe reusability unaddressed. Here, we demonstrate a new approach for chronic Neuropixels recordings over a period of months in freely moving rats. Our approach allows multiple probes per rat and multiple cycles of probe reuse. We found that hundreds of units could be recorded for multiple months, but that yields depended systematically on anatomical position. Explanted probes displayed a small increase in noise compared to unimplanted probes, but this was insufficient to impair future single-unit recordings. We conclude that cost-effective, multi-region, and multi-probe Neuropixels recordings can be carried out with high yields over multiple months in rats or other similarly sized animals. Our methods and observations may facilitate the standardization of chronic recording from Neuropixels probes in freely moving animals.

scholarly journals Opportunities and Challenges for Single-Unit Recordings from Enteric Neurons in Awake Animals

2018 ◽  
Author(s):  
Bradley Barth ◽  
Hsin-I Huang ◽  
Gianna Hammer ◽  
Xiling Shen
Keyword(s):  
Nervous System ◽  
Single Unit ◽  
Gastrointestinal System ◽  
Enteric Neurons ◽  
Unit Recording ◽  
Neural Recordings ◽  
Neuroscience Research ◽  
Single Unit Recordings ◽  
Excised Tissue ◽  
Intrinsic Neurons

Advanced electrode designs have made single-unit neural recordings commonplace among modern neuroscience research. However, single-unit resolution remains out of reach for the intrinsic neurons of the gastrointestinal system. Single-unit recordings of the enteric (gut) nervous system have been conducted in anesthetized animal models and excised tissue, but there is a large physiological gap between awake and anesthetized animals, particularly for the enteric nervous system. Here, we describe the opportunity for advancing enteric neuroscience offered by single-unit recording capabilities in awake animals. We highlight the primary challenges to microelectrodes in the gastrointestinal system including structural, physiological, and signal quality challenges.

scholarly journals Opinion on monoaminergic contributions to traits and temperament

2018 ◽  
Vol 373 (1744) ◽  
pp. 20170153 ◽  
Author(s):  
T. W. Robbins
Keyword(s):  
Neural Networks ◽  
Individual Differences ◽  
Social Functioning ◽  
Personality Factors ◽  
Monoamine Neurotransmitters ◽  
Neural Basis ◽  
Theme Issue ◽  
Experimental Animals ◽  
Neuroscience Research ◽  
Definition Of

This article critically reviews evidence relating temperamental traits and personality factors to the monoamine neurotransmitters, especially dopamine and serotonin. The genetic evidence is not yet considered to be conclusive and it is argued that basic neuroscience research on the neural basis of behaviour in experimental animals should be taken more into account. While questionnaire and lexical methodology including the ‘Five Factor’ theory has been informative (mostly for the traits relevant to social functioning, i.e. personality), biologically oriented approaches should be employed with more objective, theoretically grounded measures of cognition and behaviour, combined with neuroimaging and psychopharmacology, where appropriate. This strategy will enable specific functions of monoamines and other neuromodulators such as acetylcholine and neuropeptides (such as orexin) to be defined with respect to their roles in modulating activity in specific neural networks—leading to a more realistic definition of their interactive roles in complex, biologically based traits (i.e. temperament). This article is part of the theme issue ‘Diverse perspectives on diversity: multi-disciplinary approaches to taxonomies of individual differences’.

The Biomechanical Evaluation of a Human-Robot Collaborative Task in a Physically Interactive Virtual Reality Simulation Testbed

2021 ◽  
Vol 65 (1) ◽  
pp. 403-407
Author(s):  
Manoj Srinivasan ◽  
Syed T. Mubarrat ◽  
Quentin Humphrey ◽  
Thomas Chen ◽  
Kieran Binkley ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Center Of Pressure ◽  
Low Cost ◽  
Real Life ◽  
Human Movement ◽  
Movement Kinematics ◽  
Industrial Training ◽  
Real Objects ◽  
Human Participants ◽  
Effective Transfer

In this study, we developed a low-cost simulated testbed of a physically interactive virtual reality (VR) system and evaluated its efficacy as an occupational virtual trainer for human-robot collaborative (HRC) tasks. The VR system could be implemented in industrial training applications for sensorimotor skill acquisitions and identifying potential task-, robot-, and human-induced hazards in the industrial environments. One of the challenges in designing and implementing such simulation testbed is the effective integration of virtual and real objects and environment, including human movement biomechanics. Therefore, this study aimed to compare the movement kinematics (joint angles) and kinetics (center of pressure) of the human participants while performing pick-and-place lifting tasks with and without using a physically interactive VR testbed. Results showed marginal differences in human movement kinematics and kinetics between real and virtual environment tasks, suggesting the effective transfer of training benefits from VR to real-life situations.

Remembering Over the Short and Long Term

2020 ◽  
pp. 282-310
Author(s):  
Patricia A. Reuter-Lorenz ◽  
Alexandru D. Iordan
Keyword(s):  
Working Memory ◽  
Cognitive Neuroscience ◽  
Semantic Processing ◽  
Long Term Memory ◽  
Strategic Processing ◽  
Term Memory ◽  
Neuroscience Research ◽  
Short And Long Term ◽  
Time Courses

This chapter reviews evidence from behavioural and cognitive neuroscience research that supports a unitary view of memory whereby working memory and long-term memory phenomena arise from representations and processes that are largely shared when remembering over the short or long term. Using ‘false working memories’ as a case study, it highlights several paradoxes that cannot be explained by a multisystem view of memory in which working memory and long-term memory are structurally distinct. Instead, it is posited that behavioural memory effects over the short and long term relating to semantic processing, modality/domain-specificity, dual-task interference, strategic processing, and so on arise from the differences in activational states and availability of different representational features (e.g. sensory/perceptual, associative, action-based) that vary in their time courses and activity, attentional priority, and susceptibility to interference. Cognitive neuroscience evidence primarily from brain imaging methodologies that support this view is reviewed.

scholarly journals The Medial Temporal Lobe Is Critical for Spatial Relational Perception

2020 ◽  
Vol 32 (9) ◽  
pp. 1780-1795 ◽  
Author(s):  
Nicholas A. Ruiz ◽  
Michael R. Meager ◽  
Sachin Agarwal ◽  
Mariam Aly
Keyword(s):  
Temporal Lobe ◽  
Medial Temporal Lobe ◽  
Critical Role ◽  
Long Term Memory ◽  
Term Memory ◽  
Cognitive Domains ◽  
Attention Tasks ◽  
Human Participants ◽  
Attention And Perception

The medial temporal lobe (MTL) is traditionally considered to be a system that is specialized for long-term memory. Recent work has challenged this notion by demonstrating that this region can contribute to many domains of cognition beyond long-term memory, including perception and attention. One potential reason why the MTL (and hippocampus specifically) contributes broadly to cognition is that it contains relational representations—representations of multidimensional features of experience and their unique relationship to one another—that are useful in many different cognitive domains. Here, we explore the hypothesis that the hippocampus/MTL plays a critical role in attention and perception via relational representations. We compared human participants with MTL damage to healthy age- and education-matched individuals on attention tasks that varied in relational processing demands. On each trial, participants viewed two images (rooms with paintings). On “similar room” trials, they judged whether the rooms had the same spatial layout from a different perspective. On “similar art” trials, they judged whether the paintings could have been painted by the same artist. On “identical” trials, participants simply had to detect identical paintings or rooms. MTL lesion patients were significantly and selectively impaired on the similar room task. This work provides further evidence that the hippocampus/MTL plays a ubiquitous role in cognition by virtue of its relational and spatial representations and highlights its important contributions to rapid perceptual processes that benefit from attention.

Development of human movement measurement device for long-term measurements

Measurement ◽  
2020 ◽  
Vol 157 ◽  
pp. 107671
Author(s):  
Chihiro Kamio ◽  
Tatsuhito Aihara ◽  
Gaku Minorikawa
Keyword(s):  
Human Movement ◽  
Measurement Device
Sign in / Sign up

Export Citation Format

Share Document