Results 101 to 110 of about 83,847 (352)
Scientific Reports, 2017 Computationally it was shown that desynchronizing delayed feedback stimulation methods are effective closed-loop techniques for the control of synchronization in ensembles of interacting oscillators. We here computationally design stimulation signals for
Oleksandr V. Popovych +2 more
doaj +1 more source
Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours [PDF]
arXiv, 2018 Animals excel at adapting their intentions, attention, and actions to the environment, making them remarkably efficient at interacting with a rich, unpredictable and ever-changing external world, a property that intelligent machines currently lack. Such an adaptation property relies heavily on cellular neuromodulation, the biological mechanism that ...
arxiv
Ageing, plasticity, and cognitive reserve in connectionist networks [PDF]
, 2008 Neurocomputational modeling has suggested that a range of mechanisms can lead to reductions in functional plasticity across development (Thomas & Johnson, 2006).
Thomas, Michael S.C.
core +1 more source
A Cognitive Architecture for the Implementation of Emotions in Computing Systems
, 2016 In this paper we present a new neurobiologically-inspired affective cognitive architecture: NEUCOGAR (NEUromodulating COGnitive ARchitecture). The objective of NEUCOGAR is the identification of a mapping from the influence of serotonin, dopamine and ...
Distefano, Salvatore +5 more
core +1 more source
The effect of the interval-between-sessions on prefrontal transcranial direct current stimulation (tDCS) on cognitive outcomes: a systematic review and meta-analysis [PDF]
, 2016 Recently, there has been wide interest in the effects of transcranial direct current stimulation (tDCS) of the dorsolateral prefrontal cortex (DLPFC) on cognitive functioning. However, many methodological questions remain unanswered.
Baeken, Chris +3 more
core +2 more sources
Advances in Symbiotic Bioabsorbable Devices
Advanced Science, EarlyView.This review focuses on recent advances in bioabsorbable devices. This review concludes innovation at the material, device, and system levels, the significant advances toward biomedical applications. This review discusses and highlights the challenges and trends in symbiotic bioresorbable electronics, and provides a new direction for the development of ...
Chang Zhu +3 more
wiley +1 more source
Simultaneous Detection of Neural Activity and Temperature in Photothermal Neural Stimulation
Advanced Science, EarlyView.Photothermal neuromodulation technology faces limitations in understanding its mechanisms and effects on cellular behavior due to the difficulty of directly measuring temperature changes at the cell interface during optical stimulation of neurons. To overcome this challenge, ultrasensitive, transparent temperature sensors integrated with low‐noise ...
Duhee Kim +8 more
wiley +1 more source
Analysis of Transcranial Focused Ultrasound Beam Profile Sensitivity for Neuromodulation of the Human Brain [PDF]
arXiv, 2015 Objective. While ultrasound is largely established for use in diagnostic imaging and heating therapies, its application for neuromodulation is relatively new and not well understood. The objective of the present study was to investigate issues related to interactions between focused acoustic beams and brain tissues to better understand possible ...
arxiv
International Journal of Psychophysiology, 2020 In the era of "big data", we are gaining rich person-specific information about neuroanatomy, neural function, and cognitive functions. However, the optimal ways to create precise approaches to optimize individuals' mental functions in health and disease are unclear.
John D. Medaglia +3 more
openaire +3 more sources
Epileptiform Activity and Seizure Risk Follow Long‐Term Non‐Linear Attractor Dynamics
Advanced Science, EarlyView.This study leverages the HAVOK framework to model long‐term, nonlinear attractor dynamics underlying epileptiform activity and seizure risk in epilepsy patients. By identifying key forcing mechanisms driving chaotic transitions, the findings improve seizure risk forecasting over multi‐day cycles and provide a pathway for personalized, data‐driven ...
Richard E Rosch +4 more
wiley +1 more source