Publications by authors named "B Makkiabadi"
Increased allocation of behaviour to substance abuse at the expense of personal and social rewards is a hallmark of addiction that is reflected in several of DSM-5 criteria for diagnosis of substance use disorder. Previous studies focused on refining the self-administration (SA) model to better emulate an addictive state in laboratory animals. Here, we employed concurrent SA of sucrose pellets and morphine as two competing natural and drug rewards, respectively, to validate the feasibility of capturing pathological behavioural allocation in rats.
View Article and Find Full Text PDFArticle Synopsis
- Bidirectional brain-machine interfaces (BMIs) utilize algorithms to connect brain activity with external devices, allowing for neural responses to control artificial limbs and provide feedback through electrical stimulation.
- A new approach proposes a neural network model linking the sensory and motor cortex, utilizing a structured setup of neurons to improve the communication between the brain and mechanical devices.
- Results show that the developed BMI algorithm enables real-time information exchange between brain activity and external devices, successfully controlling movements in both simulation and practical tests with anesthetized rats.
Artificial intelligence computing adapted from biology is a suitable platform for the development of intelligent machines by imitating the functional mechanisms of the nervous system in creating high-level activities such as learning, decision making and cognition in today's systems. Here, the concentration is on improvement the cognitive potential of artificial intelligence network with a bio-inspired structure. In this regard, four spiking pattern recognition platforms for recognizing digits and letters of EMNIST, patterns of YALE, and ORL datasets are proposed.
View Article and Find Full Text PDFThe use of transcranial Electrical Stimulation (tES) in the modulation of cognitive brain functions to improve neuropsychiatric conditions has extensively increased over the decades. tES techniques have also raised new challenges associated with study design, stimulation protocol, functional specificity, and dose-response relationship. In this paper, we addressed challenges through the emerging methodology to investigate the dose-response relationship of High Definition-transcranial Direct Current Stimulation (HD tDCS), identifying the role of negative valence in tinnitus perception.
View Article and Find Full Text PDFBackground: Due to the rapid growth of metropolises and the insufficiency of public transportation, nowadays, many people travel on these vehicles in a standing position. This position leads to discomfort and the risk of falling or non-collision incidents for the passengers.
Objective: The present study was conducted to analyze an innovative sit-standing seat to prevent falls and non-collision injuries in standing passengers.