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https://www.readbyqxmd.com/read/28230528/biologically-plausible-learning-in-recurrent-neural-networks-reproduces-neural-dynamics-observed-during-cognitive-tasks
#1
Thomas Miconi
Neural activity during cognitive tasks exhibits complex dynamics that flexibly encode task-relevant variables. Chaotic recurrent networks, which spontaneously generate rich dynamics, have been proposed as a model of cortical computation during cognitive tasks. However, existing methods for training these networks are either biologically implausible, and/or require a continuous, real-time error signal to guide learning. Here we show that a biologically plausible learning rule can train such recurrent networks, guided solely by delayed, phasic rewards at the end of each trial...
February 23, 2017: ELife
https://www.readbyqxmd.com/read/28230155/perceived-moral-traits-of-others-differentiate-the-neural-activation-that-underlies-inequity-aversion
#2
Hironori Nakatani, Akitoshi Ogawa, Chisato Suzuki, Takeshi Asamizuya, Kenichi Ueno, Kang Cheng, Kazuo Okanoya
We have a social preference to reduce inequity in the outcomes between oneself and others. Such a preference varies according to others. We performed functional magnetic resonance imaging during an economic game to investigate how the perceived moral traits of others modulate the neural activities that underlie inequity-aversion. The participants unilaterally allocated money to three partners (good, neutral, and bad). During presentation of the good and neutral partners, the anterior region of the rostral medial frontal cortex (arMFC) showed increased functional connectivity with the caudate head and the anterior insula, respectively...
February 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28229628/impaired-glucose-tolerance-after-streptozotocin-microinjection-into-the-mediodorsal-prefrontal-cortex-of-the-rat
#3
B Nagy, I Szabó, G Takács, B Csetényi, E Hormay, Z Karádi
The mediodorsal prefrontal cortex (mdPFC) is a key structure of the central glucose-monitoring (GM) neural network. Previous studies indicate that intracerebral streptozotocin (STZ) microinjection-induced destruction of local chemosensory neurons results in feeding and metabolic alterations. The present experiments aimed to examine whether STZ microinjection into the mdPFC causes metabolic deficits. To do so, glucose tolerance test (GTT) and measurements of plasma metabolites were performed in STZ-treated or control rats...
December 2016: Physiol Int
https://www.readbyqxmd.com/read/28228579/network-wide-oscillations-in-the-parkinsonian-state-alterations-in-neuronal-activities-occur-in-the-premotor-cortex-in-parkinsonian-non-human-primates
#4
Jing Wang, Luke A Johnson, Alicia L Jensen, Kenneth B Baker, Jerrold L Vitek
A number of studies suggest that Parkinson's disease (PD) is associated with alterations of neuronal activity patterns in the basal-ganglia-thalamocortical circuit. There are limited electrophysiological data, however, describing how premotor cortex, which is involved in movement and decision making, is likely impacted in PD. In this study, spontaneous local field potential (LFP) and single unit neuronal activity were recorded in the dorsal premotor area of non-human primates in both the naïve and parkinsonian state using the MPTP model of parkinsonism...
February 22, 2017: Journal of Neurophysiology
https://www.readbyqxmd.com/read/28228422/elevated-reward-response-to-receipt-of-palatable-food-predicts-future-weight-variability-in-healthy-weight-adolescents
#5
Samantha R Winter, Sonja Yokum, Eric Stice, Karol Osipowicz, Michael R Lowe
Background: Both an elevated brain-reward-region response to palatable food and elevated weight variability have been shown to predict future weight gain.Objective: We examined whether the brain-reward response to food is related to future weight variability.Design: A total of 162 healthy-weight adolescents, who were aged 14-18 y at baseline, were enrolled in the study and were assessed annually over a 3-y follow-up period with 127 participants completing the final 3-y follow-up assessment. With the use of functional magnetic resonance imaging, we tested whether the neural responses to a cue that signaled an impending milkshake receipt and the receipt of the milkshake predicted weight variability over the follow-up period...
February 22, 2017: American Journal of Clinical Nutrition
https://www.readbyqxmd.com/read/28228081/the-neurobiology-and-psychiatric-perspective-of-vaginismus-linking-the-pharmacological-and-psycho-social-interventions
#6
Zuri Shahidii Kadir, Hatta Sidi, Jaya Kumar, Srijit Das, Marhani Midin, Najwa Baharuddin
Vaginismus is an involuntary muscle contraction of the outer third of vaginal barrel causing sexual penetration almost impossible. It is generally classified under sexual pain disorder (SPD). In Diagnostic and Statistical Manual, 5th edition, it is classified under the new rubric of Genito-Pelvic Pain/Sexual Penetration Disorder. This fear-avoidance condition poses an ongoing significant challenge to the medical and health professionals due to the very demanding needs in health care despite its unpredictable prognosis...
February 22, 2017: Current Drug Targets
https://www.readbyqxmd.com/read/28227909/neuromorphic-circuit-modeling-directional-selectivity-in-the-visual-cortex
#7
Saeid Barzegarjalali, Alice C Parker, Saeid Barzegarjalali, Alice C Parker, Alice C Parker, Saeid Barzegarjalali
We have designed a neuromorphic circuit that models directional selectivity in the visual cortex, where selected neurons fire depending on the direction of object motion, along with the size and orientation of the object. The neuromorphic circuit is biomimetic. It consists of neurons and synapses, and models biological mechanisms. Neurons (including the Axon Hillock and the Dendritic Arbor) are designed with CMOS technology and synapses (both excitatory and inhibitory) are designed with Carbon Nanotube Transistors...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227847/a-compact-representation-for-the-auditory-full-range-response-and-its-fast-denoising-using-an-image-filter-based-on-the-radon-transform
#8
Manuel C Kohl, Daniel J Strauss, Manuel C Kohl, Daniel J Strauss, Daniel J Strauss, Manuel C Kohl
The Auditory Brainstem, Middle-Latency and Late Responses, a class of event-related potentials (ERPs), are of considerable interest in neuroscience research as robust neural correlates of different processing stages along the auditory pathway. While most research to date centers around one of the responses at a time for practical reasons, recent efforts indicate a paradigm shift towards acquiring them together, enabling the simultaneous monitoring of all auditory processing stages from the brainstem to the cortex...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227807/ecog-data-analyses-to-inform-closed-loop-bci-experiments-for-speech-based-prosthetic-applications
#9
Tejaswy Pailla, Werner Jiang, Benjamin Dichter, Edward F Chang, Vikash Gilja, Tejaswy Pailla, Werner Jiang, Benjamin Dichter, Edward F Chang, Vikash Gilja, Vikash Gilja, Werner Jiang, Tejaswy Pailla, Benjamin Dichter, Edward F Chang
Brain Computer Interfaces (BCIs) assist individuals with motor disabilities by enabling them to control prosthetic devices with their neural activity. Performance of closed-loop BCI systems can be improved by using design strategies that leverage structured and task-relevant neural activity. We use data from high density electrocorticography (ECoG) grids implanted in three subjects to study sensory-motor activity during an instructed speech task in which the subjects vocalized three cardinal vowel phonemes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227769/identifying-the-effects-of-visceral-interoception-on-human-brain-connectome-a-multivariate-analysis-of-covariance-of-fmri-data
#10
Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini, Behnaz Jarrahi, Dante Mantini
Sources of variations in the neural circuitry of the human brain and interrelationship between intrinsic connectivity networks (ICNs) are still a matter of debate and ongoing research. Here, we applied a multivariate analysis of covariance (MANCOVA) based on high-dimensional independent component analysis (ICA) to identify the effects of interoception and related variables on human brain connectome. Fifteen healthy right-handed subjects (all females, age range 21 - 48 years; mean age = 30.3, SD = 8.7 years) underwent a blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) that included continuous intravesical saline infusion and drainage...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227768/measures-of-the-brain-functional-network-that-correlate-with-alzheimer-s-neuropsychological-test-scores-an-fmri-and-graph-analysis-study
#11
Soroosh Golbabaei, Amin Dadashi, Hamid Soltanian-Zadeh, Soroosh Golbabaei, Amin Dadashi, Hamid Soltanian-Zadeh, Soroosh Golbabaei, Amin Dadashi, Hamid Soltanian-Zadeh
Neural degeneration in Alzheimer's disease (AD) leads to structural topology deformation that in turn changes brain functionality. The main aim of the present study is to find the brain's functional connectivity network (FCN) correlates of Alzheimer's psychological test scores. To this end, the brain's FCN is extracted from the resting state functional magnetic resonance images (rs-fMRI) of healthy controls and patients with AD and represented as a graph. Then, network measures are calculated from the graphs...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227760/cross-frequency-coupling-during-auditory-perception-in-human-cortex
#12
Urszula Malinowska, Dana Boatman-Reich, Urszula Malinowska, Dana Boatman-Reich, Urszula Malinowska, Dana Boatman-Reich
Cross-frequency coupling plays an important role in coordinating neuronal computations underlying human perception, learning and memory. Here we compared four methods for measuring phase/amplitude coupling (PAC) of theta (4-7 Hz) and high-gamma (70-150 Hz) in intracranial electrocorticographic (ECoG) recordings. Time-frequency spectral and time-domain evoked responses were derived for comparison. All four methods showed significant increases in theta/high-gamma PAC in auditory cortex at sites where significant event-related increases in high-gamma power were also observed...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227554/cortical-excitability-effects-of-stimulation-intensity-change-speed-during-nmes
#13
Shenglong Jiang, Zhongpeng Wang, Weibo Yi, Feng He, Shuang Liu, Hongzhi Qi, Dong Ming, Shenglong Jiang, Zhongpeng Wang, Weibo Yi, Feng He, Shuang Liu, Hongzhi Qi, Dong Ming, Shuang Liu, Shenglong Jiang, Zhonapeng Wang, Dong Ming, Feng He, Qi Hongzhi, Weibo Yi
Rehabilitation method of motor dysfunction is a challenging issue of neural rehabilitation. Neuromuscular electrical stimulation (NMES) has been frequently used in rehabilitation therapy to improve neural recovery such as stroke and spinal cord injury. Stimulus, acting on sensorimotor neural system components, resulted in the increased cortical excitability which accompanied with motor performance improvement. Stimulus information conveyed by sensory system included below four elementary attributes: modality, location, intensity, and timing...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227545/corticomuscular-coherence-variation-throughout-the-gait-cycle-during-overground-walking-and-ramp-ascent-a-preliminary-investigation
#14
Anna T Winslow, Justin Brantley, Fangshi Zhu, Jose L Contreras Vidal, He Huang, Anna T Winslow, Justin Brantley, Fangshi Zhu, Jose L Contreras Vidal, He Huang, Fangshi Zhu, Justin Brantley, Jose L Contreras Vidal, He Huang, Anna T Winslow
Recent designs of neural-machine interfaces (NMIs) incorporating electroencephalography (EEG) or electromyography (EMG) have been used in lower limb assistive devices. While the results of previous studies have shown promise, a NMI which takes advantage of early movement-related EEG activity preceding movement onset, as well as the improved signal-to-noise ratio of EMG, could prove to be more accurate and responsive than current NMI designs based solely on EEG or EMG. Previous studies have demonstrated that the activity of the sensorimotor cortex is coupled to the firing rate of motor units in lower limb muscles during voluntary contraction...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227501/feasibility-of-a-chronic-minimally-invasive-endovascular-neural-interface
#15
Nicholas L Opie, Gil S Rind, Sam E John, Stephen M Ronayne, David B Grayden, Anthony N Burkitt, Clive N May, Terence J O'Brien, Thomas J Oxley, Nicholas L Opie, Gil S Rind, Sam E John, Stephen M Ronayne, David B Grayden, Anthony N Burkitt, Clive N May, Terence J O'Brien, Thomas J Oxley, Sam E John, Stephen M Ronayne, David B Grayden, Nicholas L Opie, Anthony N Burkitt, Terence J O'Brien, Clive N May, Thomas J Oxley, Gil S Rind
Development of a neural interface that can be implanted without risky, open brain surgery will increase the safety and viability of chronic neural recording arrays. We have developed a minimally invasive surgical procedure and an endovascular electrode-array that can be delivered to overlie the cortex through blood vessels. Here, we describe feasibility of the endovascular interface through electrode viability, recording potential and safety. Electrochemical impedance spectroscopy demonstrated that electrode impedance was stable over 91 days and low frequency phase could be used to infer electrode incorporation into the vessel wall...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227393/an-integrated-neuroprotective-intervention-for-brain-ischemia-validated-by-ecog-fpam
#16
Yu-Hang Liu, Lun-De Liao, Su Jing Chan, Aishwarya Bandla, Nitish V Thakor, Yu-Hang Liu, Lun-De Liao, Su Jing Chan, Aishwarya Bandla, Nitish V Thakor, Yu-Hang Liu, Aishwarya Bandla, Nitish V Thakor, Su Jing Chan, Lun De Liao
Brain ischemia is a neurological deficit caused by a reduction in the blood supply to tissue, and one of the leading causes of disability in the world. Currently, the most well-known therapeutic agent for ischemia recovery is recombinant tissue plasminogen activator (rtPA), but it is viable for only a small portion (approximately 3.6%) of ischemic patients and may cause side effects such as tissue damage. Thus, introducing a new therapeutic concept for ischemia, we proposed an integrated intervention combining global and focal stimulations in this article...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227249/real-time-algorithms-for-sparse-neuronal-system-identification
#17
Alireza Sheikhattar, Behtash Babadi, Alireza Sheikhattar, Behtash Babadi, Behtash Babadi, Alireza Sheikhattar
We consider the problem of sparse adaptive neuronal system identification, where the goal is to estimate the sparse time-varying neuronal model parameters in an online fashion from neural spiking observations. We develop two adaptive filters based on greedy estimation techniques and regularized log-likelihood maximization. We apply the proposed algorithms to simulated spiking data as well as experimentally recorded data from the ferret's primary auditory cortex during performance of auditory tasks. Our results reveal significant performance gains achieved by the proposed algorithms in terms of sparse identification and trackability, compared to existing algorithms...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227247/neural-correlates-to-automatic-behavior-estimations-from-rgb-d-video-in-epilepsy-unit
#18
Paolo Gabriel, Werner K Doyle, Orrin Devinsky, Daniel Friedman, Thomas Thesen, Vikash Gilja, Paolo Gabriel, Werner K Doyle, Orrin Devinsky, Daniel Friedman, Thomas Thesen, Vikash Gilja, Thomas Thesen, Vikash Gilja, Paolo Gabriel, Werner K Doyle, Orrin Devinsky, Daniel Friedman
To augment neural monitoring, a minimally intrusive multi-modal capture system was designed and implemented in the epilepsy clinic. This system provides RGB-D audio-video synchronized with patient electrocorticography (ECoG), which records neural activity across cortex. We propose an automated approach to studying the human brain in a naturalistic setting. We demonstrate coarse functional mapping of ECoG electrodes correlated to contralateral arm movements. Motor electrode mapping was generated by analyzing continuous movement data recorded over several hours from epilepsy patients in hospital rooms...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227165/reward-value-is-encoded-in-primary-somatosensory-cortex-and-can-be-decoded-from-neural-activity-during-performance-of-a-psychophysical-task
#19
David B McNiel, John S Choi, John P Hessburg, Joseph T Francis, David B McNiel, John S Choi, John P Hessburg, Joseph T Francis, John P Hessburg, Joseph T Francis, John S Choi, David B McNiel
Encoding of reward valence has been shown in various brain regions, including deep structures such as the substantia nigra as well as cortical structures such as the orbitofrontal cortex. While the correlation between these signals and reward valence have been shown in aggregated data comprised of many trials, little work has been done investigating the feasibility of decoding reward valence on a single trial basis. Towards this goal, one non-human primate (macaca radiata) was trained to grip and hold a target level of force in order to earn zero, one, two, or three juice rewards...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227162/a-non-linear-mapping-algorithm-shaping-the-control-policy-of-a-bidirectional-brain-machine-interface
#20
Fabio Boi, Marianna Semprini, Alessandro Vato, Fabio Boi, Marianna Semprini, Alessandro Vato, Fabio Boi, Marianna Semprini, Alessandro Vato
Motor brain-machine interfaces (BMIs) transform neural activities recorded directly from the brain into motor commands to control the movements of an external object by establishing an interface between the central nervous system (CNS) and the device. Bidirectional BMIs are closed-loop systems that add a sensory channel to provide the brain with an artificial feedback signal produced by the interaction between the device and the external world. Taking inspiration from the functioning of the spinal cord in mammalians, in our previous works we designed and developed a bidirectional BMI that uses the neural signals recorded form rats' motor cortex to control the movement of an external object...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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