124 research outputs found
Single-channel electroencephalographic recording in children with developmental coordination disorder: Validity and influence of eye blink artifacts
published_or_final_versio
Emotion Detection Using Noninvasive Low Cost Sensors
Emotion recognition from biometrics is relevant to a wide range of
application domains, including healthcare. Existing approaches usually adopt
multi-electrodes sensors that could be expensive or uncomfortable to be used in
real-life situations. In this study, we investigate whether we can reliably
recognize high vs. low emotional valence and arousal by relying on noninvasive
low cost EEG, EMG, and GSR sensors. We report the results of an empirical study
involving 19 subjects. We achieve state-of-the- art classification performance
for both valence and arousal even in a cross-subject classification setting,
which eliminates the need for individual training and tuning of classification
models.Comment: To appear in Proceedings of ACII 2017, the Seventh International
Conference on Affective Computing and Intelligent Interaction, San Antonio,
TX, USA, Oct. 23-26, 201
Abnormal Speech Motor Control in Individuals with 16p11.2 Deletions.
Speech and motor deficits are highly prevalent (>70%) in individuals with the 600 kb BP4-BP5 16p11.2 deletion; however, the mechanisms that drive these deficits are unclear, limiting our ability to target interventions and advance treatment. This study examined fundamental aspects of speech motor control in participants with the 16p11.2 deletion. To assess capacity for control of voice, we examined how accurately and quickly subjects changed the pitch of their voice within a trial to correct for a transient perturbation of the pitch of their auditory feedback. When compared to controls, 16p11.2 deletion carriers show an over-exaggerated pitch compensation response to unpredictable mid-vocalization pitch perturbations. We also examined sensorimotor adaptation of speech by assessing how subjects learned to adapt their sustained productions of formants (speech spectral peak frequencies important for vowel identity), in response to consistent changes in their auditory feedback during vowel production. Deletion carriers show reduced sensorimotor adaptation to sustained vowel identity changes in auditory feedback. These results together suggest that 16p11.2 deletion carriers have fundamental impairments in the basic mechanisms of speech motor control and these impairments may partially explain the deficits in speech and language in these individuals
An International Laboratory for Systems and Computational Neuroscience
The neural basis of decision-making has been elusive and involves the coordinated activity of multiple brain structures. This NeuroView, by the International Brain Laboratory (IBL), discusses their efforts to develop a standardized mouse decision-making behavior, to make coordinated measurements of neural activity across the mouse brain, and to use theory and analyses to uncover the neural computations that support decision-making. The neural basis of decision-making has been elusive and involves the coordinated activity of multiple brain structures. This NeuroView, by the International Brain Laboratory (IBL), discusses their efforts to develop a standardized mouse decision-making behavior, to make coordinated measurements of neural activity across the mouse brain, and to use theory and analyses to uncover the neural computations that support decision-making
The medial entorhinal cortex is necessary for temporal organization of hippocampal neuronal activity.
The superficial layers of the medial entorhinal cortex (MEC) are a major input to the hippocampus. The high proportion of spatially modulated cells, including grid cells and border cells, in these layers suggests that MEC inputs are critical for the representation of space in the hippocampus. However, selective manipulations of the MEC do not completely abolish hippocampal spatial firing. To determine whether other hippocampal firing characteristics depend more critically on MEC inputs, we recorded from hippocampal CA1 cells in rats with MEC lesions. Theta phase precession was substantially disrupted, even during periods of stable spatial firing. Our findings indicate that MEC inputs to the hippocampus are required for the temporal organization of hippocampal firing patterns and suggest that cognitive functions that depend on precise neuronal sequences in the hippocampal theta cycle are particularly dependent on the MEC
The hardware is the software
Human brains and bodies are not hardware running software: the hardware is
the software. We reason that because the microscopic physics of
artificial-intelligence hardware and of human biological "hardware" is
distinct, neuromorphic engineers need to be cautious (and yet also creative) in
how we take inspiration from biological intelligence. We should focus primarily
on principles and design ideas that respect -- and embrace -- the underlying
hardware physics of non-biological intelligent systems, rather than abstracting
it away. We see a major role for neuroscience in neuromorphic computing as
identifying the physics-agnostic principles of biological intelligence -- that
is the principles of biological intelligence that can be gainfully adapted and
applied to any physical hardware
Neuroecological links of the exposome and One Health
This NeuroView assesses the interplay among exposome, One Health, and brain capital in health and disease. Physical and social exposomes affect brain health, and green brain skills are required for environmental health strategies. Ibanez et al. address current gaps and strategies needed in research, policy, and technology, offering a road map for stakeholders
Creating Interactive Learning Environments through the Use of Information and Communication Technologies Applied to Learning of Social Values: An Approach from Neuro-Education
In order to link learning and the brain, it is necessary to carry out a restructuring of pedagogical practice so that it can be linked to the contributions of Neurosciences. In this sense, Neuro-education is emerging as a new science that has as its main objective the synergy of Pedagogy, Cognitive Psychology and Neuroscience, and with this, being able to bring the different educational agents the necessary resources in terms of the brain and learning binomial (Campos 2010). This article focuses on the importance of education in values, and the acquisition of prosocial behavior and how this educational field can be developed from the use of information and communication technologies (ICT). The challenge before us is to build the map of values, which make the individual a fulfilled being and, in turn, a collaborator of the social environment. On the other hand, ICTs offer enormous potential in terms of their application in the field of education. In this article we will show the role that this type of tools can play in the learning and assimilation of values, bearing in mind the contributions of neuro-education
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