scholarly journals Bridging the information and dynamics attributes of neural activities

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Yang Tian ◽  
Guoqi Li ◽  
Pei Sun
Keyword(s):  
Neural Activities

scholarly journals fNIRS Signal Classification Based on Deep Learning in Rock-Paper-Scissors Imagery Task

2021 ◽  
Vol 11 (11) ◽  
pp. 4922
Author(s):  
Tengfei Ma ◽  
Wentian Chen ◽  
Xin Li ◽  
Yuting Xia ◽  
Xinhua Zhu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Total Duration ◽  
Signal Classification ◽  
Imagery Task ◽  
Neural Activities ◽  
Computer Interfaces ◽  
Acquisition Device ◽  
The Time Domain ◽  
The Brain

To explore whether the brain contains pattern differences in the rock–paper–scissors (RPS) imagery task, this paper attempts to classify this task using fNIRS and deep learning. In this study, we designed an RPS task with a total duration of 25 min and 40 s, and recruited 22 volunteers for the experiment. We used the fNIRS acquisition device (FOIRE-3000) to record the cerebral neural activities of these participants in the RPS task. The time series classification (TSC) algorithm was introduced into the time-domain fNIRS signal classification. Experiments show that CNN-based TSC methods can achieve 97% accuracy in RPS classification. CNN-based TSC method is suitable for the classification of fNIRS signals in RPS motor imagery tasks, and may find new application directions for the development of brain–computer interfaces (BCI).

scholarly journals Age-related differences in neural activities during risk taking as revealed by functional MRI

2007 ◽  
Vol 3 (1) ◽  
pp. 7-15 ◽  
Author(s):  
Tatia M. C. Lee ◽  
Ada W. S. Leung ◽  
Peter T. Fox ◽  
Jia-Hong Gao ◽  
Chetwyn C. H. Chan
Keyword(s):  
Functional Mri ◽  
Risk Taking ◽  
Neural Activities ◽  
Age Related

Coding of Temporally Varying Signals in Networks of Spiking Neurons with Global Delayed Feedback

2005 ◽  
Vol 17 (10) ◽  
pp. 2139-2175 ◽  
Author(s):  
Naoki Masuda ◽  
Brent Doiron ◽  
André Longtin ◽  
Kazuyuki Aihara
Keyword(s):  
Information Processing ◽  
Stimulus Frequency ◽  
Spiking Neurons ◽  
Feedforward Networks ◽  
Dynamical Characteristics ◽  
Neural Activities ◽  
Inherent Frequency ◽  
Types Of Information ◽  
The Brain

Oscillatory and synchronized neural activities are commonly found in the brain, and evidence suggests that many of them are caused by global feedback. Their mechanisms and roles in information processing have been discussed often using purely feedforward networks or recurrent networks with constant inputs. On the other hand, real recurrent neural networks are abundant and continually receive information-rich inputs from the outside environment or other parts of the brain. We examine how feedforward networks of spiking neurons with delayed global feedback process information about temporally changing inputs. We show that the network behavior is more synchronous as well as more correlated with and phase-locked to the stimulus when the stimulus frequency is resonant with the inherent frequency of the neuron or that of the network oscillation generated by the feedback architecture. The two eigenmodes have distinct dynamical characteristics, which are supported by numerical simulations and by analytical arguments based on frequency response and bifurcation theory. This distinction is similar to the class I versus class II classification of single neurons according to the bifurcation from quiescence to periodic firing, and the two modes depend differently on system parameters. These two mechanisms may be associated with different types of information processing.

Bimodal neural probe for highly co-localized chemical and electrical monitoring of neural activities in vivo

2021 ◽  
pp. 113473
Author(s):  
Uikyu Chae ◽  
Hyogeun Shin ◽  
Nakwon Choi ◽  
Mi-Jung Ji ◽  
Hyun-Mee Park ◽  
...  
Keyword(s):  
Neural Activities ◽  
Neural Probe

Body Schema and Body Image

2021 ◽  
Keyword(s):  
Body Image ◽  
Body Dysmorphic Disorder ◽  
Body Schema ◽  
The Body ◽  
Body Parts ◽  
Neural Activities ◽  
Body Shapes ◽  
Influential Book ◽  
Social And Cultural Factors

Body schema refers to the system of sensory-motor functions that enables control of the position of body parts in space, without conscious awareness of those parts. Body image refers to a conscious representation of the way the body appears—a set of conscious perceptions, affective attitudes, and beliefs pertaining to one’s own bodily image. In 2005, Shaun Gallagher published an influential book entitled ‘How the Body Shapes the Mind’. This book not only defined both body schema (BS) and body image (BI), but also explored the complicated relationship between the two. The book also established the idea that there is a double dissociation, whereby body schema and body image refer to two different, but closely related, systems. Given that many kinds of pathological cases can be described in terms of body schema and body image (phantom limbs, asomatognosia, apraxia, schizophrenia, anorexia, depersonalization, and body dysmorphic disorder, among others), we might expect to find a growing consensus about these concepts and the relevant neural activities connected to these systems. Instead, an examination of the scientific literature reveals continued ambiguity and disagreement. This volume brings together leading experts from the fields of philosophy, neuroscience, psychology, and psychiatry in a lively and productive dialogue. It explores fundamental questions about the relationship between body schema and body image, and addresses ongoing debates about the role of the brain and the role of social and cultural factors in our understanding of embodiment.

Irradiation of 850-nm laser light changes the neural activities in rat primary visual cortex

2012 ◽  
Vol 28 (3) ◽  
pp. 791-798 ◽  
Author(s):  
Xiao Y. Wu ◽  
Zong X. Mou ◽  
Wen S. Hou ◽  
Xiao L. Zheng ◽  
Jun P. Yao ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Primary Visual Cortex ◽  
Laser Light ◽  
Neural Activities

Prediction of arm trajectory from the neural activities of the primary motor cortex with modular connectionist architecture

2009 ◽  
Vol 22 (9) ◽  
pp. 1214-1223 ◽  
Author(s):  
Kyuwan Choi ◽  
Hideaki Hirose ◽  
Yoshio Sakurai ◽  
Toshio Iijima ◽  
Yasuharu Koike
Keyword(s):  
Motor Cortex ◽  
Primary Motor Cortex ◽  
Neural Activities

Fast Rhythms In Respiratory Neural Activities

2019 ◽  
pp. 159-170 ◽  
Author(s):  
Morton I. Cohen ◽  
Wu-Xin Huang ◽  
Wolf R. See ◽  
Yu Qiping ◽  
Constantinos N. Christakos
Keyword(s):  
Neural Activities

Functional properties of monkey caudate neurons. III. Activities related to expectation of target and reward

1989 ◽  
Vol 61 (4) ◽  
pp. 814-832 ◽  
Author(s):  
O. Hikosaka ◽  
M. Sakamoto ◽  
S. Usui
Keyword(s):  
Spatial Information ◽  
Target Location ◽  
Hand Movement ◽  
Visual Fixation ◽  
Saccade Target ◽  
Tonic Activity ◽  
Sustained Activity ◽  
Neural Activities ◽  
Reward Expectancy ◽  
Mouth Movement

1. The present paper reports complex neural activities in the monkey caudate nucleus that precede and anticipate visual stimuli and reward in learned visuomotor paradigms. These activities were revealed typically in the delayed saccade task in which memory and anticipation were required. We classified these activities according to their relationships to the task. 2. Activity related to expectation of a cue (n = 46) preceded the presentation of a spot of light (target cue) that signified the future location of saccade target. When the target cue was delayed, the activity was prolonged accordingly. The same spot of light was preceded by no activity if it acted as a distracting stimulus. 3. The sustained activity (n = 80) was a tonic discharge starting after the target cue as if holding the spatial information. 4. The activity related to expectation of target (n = 109) preceded the appearance of the target whose location was cued previously. It started with or after a saccade to the cued target location and ended with the appearance of the target. The activity was greater when the target was expected to appear in the contralateral visual field. 5. The activity related to expectation of reward (n = 57) preceded a task-specific reward. It started with the appearance of the final target and ended with the reward. In most cases, the activity was nonselective for how the monkey obtained the reward, i.e., by visual fixation only, by a saccade, or by a hand movement. The activity was dependent partly on visual fixation. 6. A few neurons showed tonic activity selectively before lever release and are thus considered to be related to the preparation of hand movements. 7. The activity related to breaking fixation (n = 33) occurred phasically if the monkey broke fixation, aborting the trial. 8. Activity related to reward (n = 104) was a phasic discharge that occurred before or after a reward of water was delivered. The activity was not simply related to a specific movement involved in the reward-obtaining behavior (eye, hand, or mouth movement). 9. Fixation-related activity (n = 72) was tonic activity continuing as long as the monkey attentively fixated a spot of light. It was dependent on reward expectancy in most cases. 10. The present results, together with those in the preceding papers, indicate that the activities of individual caudate neurons--sensory, motor, or cognitive--are dependent on specific contexts of learned behavior.(ABSTRACT TRUNCATED AT 400 WORDS)

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