AIMC Topic: Dopamine
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Informing deep neural networks by multiscale principles of neuromodulatory systems.
Trends in neurosciences
Jan 21, 2022
Our brains have evolved the ability to configure and adapt their processing states to match the unique challenges of acting and learning in diverse environments and behavioral contexts. In biological nervous systems, such state specification and adap...
Deep Learning for Voltammetric Sensing in a Living Animal Brain.
Angewandte Chemie (International ed. in English)
Sep 24, 2021
Numerous neurochemicals have been implicated in the modulation of brain function, making them appealing analytes for sensors and diagnostics. However, it is a grand challenge to selectively measure multiple neurochemicals simultaneously in vivo becau...
Cross-species behavior analysis with attention-based domain-adversarial deep neural networks.
Nature communications
Sep 17, 2021
Since the variables inherent to various diseases cannot be controlled directly in humans, behavioral dysfunctions have been examined in model organisms, leading to better understanding their underlying mechanisms. However, because the spatial and tem...
Systematic review of Pharmacogenomics Knowledgebase evidence for pharmacogenomic links to the dopamine reward pathway for heroin dependence.
Pharmacogenomics
Aug 23, 2021
Genetics play an important role in opioid use disorder (OUD); however, few specific gene variants have been identified. Therefore, there is a need to further understand the pharmacogenomics influences on the pharmacodynamics of opioids. The Pharmacog...
Meta-control: From psychology to computational neuroscience.
Cognitive, affective & behavioral neuroscience
Jun 3, 2021
Research in the past decades shed light on the different mechanisms that underlie our capacity for cognitive control. However, the meta-level processes that regulate cognitive control itself remain poorly understood. Following the terminology from ar...
Spine dynamics in the brain, mental disorders and artificial neural networks.
Nature reviews. Neuroscience
May 28, 2021
In the brain, most synapses are formed on minute protrusions known as dendritic spines. Unlike their artificial intelligence counterparts, spines are not merely tuneable memory elements: they also embody algorithms that implement the brain's ability ...
Mental Processes
Neurotransmitter Agents
Receptors, Dopamine
Memory, Short-Term
Reward
Synapses
Species Specificity
Dopamine
Dendritic Spines
Optogenetics
Brain
Animals
Humans
Neuronal Plasticity
Neural Networks, Computer
Models, Neurological
Artificial Intelligence
Machine Learning
Algorithms
Mental Disorders
Schizotypy in Parkinson's disease predicts dopamine-associated psychosis.
Scientific reports
Jan 12, 2021
Psychosis is the most common neuropsychiatric side-effect of dopaminergic therapy in Parkinson's disease (PD). It is still unknown which factors determine individual proneness to psychotic symptoms. Schizotypy is a multifaceted personality trait rela...
A Basal Ganglia Computational Model to Explain the Paradoxical Sensorial Improvement in the Presence of Huntington's Disease.
International journal of neural systems
Aug 24, 2020
The basal ganglia (BG) represent a critical center of the nervous system for sensorial discrimination. Although it is known that Huntington's disease (HD) affects this brain area, it still remains unclear how HD patients achieve paradoxical improveme...
Time-resolved neurotransmitter detection in mouse brain tissue using an artificial intelligence-nanogap.
Scientific reports
Jul 9, 2020
The analysis of neurotransmitters in the brain helps to understand brain functions and diagnose Parkinson's disease. Pharmacological inhibition experiments, electrophysiological measurement of action potentials, and mass analysers have been applied f...
Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson's Patients.
Journal of healthcare engineering
Feb 18, 2020
In the last few years, the importance of measuring gait characteristics has increased tenfold due to their direct relationship with various neurological diseases. As patients suffering from Parkinson's disease (PD) are more prone to a movement disord...
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