An organic terpyridyl-iron polymer based memristor for synaptic plasticity and learning behavior simulation

RSC Advances ◽  
2016 ◽  
Vol 6 (30) ◽  
pp. 25179-25184 ◽  
Author(s):  
Xi Yang ◽  
Cheng Wang ◽  
Jie Shang ◽  
Chaochao Zhang ◽  
Hongwei Tan ◽  
...  
Keyword(s):  
Synaptic Plasticity ◽  
Redox Reaction ◽  
Bilayer Structure ◽  
Learning Behavior ◽  
Behavior Simulation ◽  
Electrochemical Redox

Conductance of the viologen/terpyridyl-iron polymer bilayer structure has been effectively modulated by an electrochemical redox reaction for synaptic emulation.

Oxidation of butane to butanol coupled to electrochemical redox reaction of NAD+/NADH

2007 ◽  
Vol 29 (8) ◽  
pp. 1277-1280 ◽  
Author(s):  
Hye Sun Kang ◽  
Byung Kwan Na ◽  
Doo Hyun Park
Keyword(s):  
Redox Reaction ◽  
Electrochemical Redox

scholarly journals Maladaptive striatal plasticity and abnormal reward-learning in cervical dystonia

2019 ◽  
Author(s):  
Tom Gilbertson ◽  
Mark Humphries ◽  
J. Douglas Steele
Keyword(s):  
Synaptic Plasticity ◽  
Reversal Learning ◽  
Cervical Dystonia ◽  
Long Term Potentiation ◽  
Focal Dystonia ◽  
Abnormal Behavior ◽  
Reward Learning ◽  
Learning Behavior

AbstractIn monogenetic generalized forms of dystonia, in vitro neurophysiological recordings have demonstrated direct evidence for abnormal plasticity at the level of the cortico-striatal synapse. It is unclear whether similar abnormalities contribute to the pathophysiology of cervical dystonia, the most common type of focal dystonia. We investigated whether abnormal cortico-striatal synaptic plasticity contributes to abnormal reward-learning behavior in patients with focal dystonia. Forty patients and forty controls performed a reward-gain and loss-avoidance reversal learning task. Participant’s behavior was fitted to a computational model of the basal ganglia incorporating detailed cortico-striatal synaptic learning rules. Model comparisons were performed to assess the ability of four hypothesised receptor specific abnormalities of cortico-striatal long term potentiation (LTP) and Long Term Depression (LTD): increased or decreased D1:LTP/LTD and increased or decreased D2: LTP/LTD to explain abnormal behavior in patients. Patients were selectively impaired in the post-reversal phase of the reward task. Individual learning rates in the reward reversal task correlated with the severity of the patient’s motor symptoms. A model of the striatum with decreased D2:LTP/ LTD best explained the patient’s behavior, suggesting excessive D2 cortico-striatal synaptic depotentiation could underpin biased reward learning in patients with cervical dystonia. Reversal learning impairment in cervical dystonia may be a behavioural correlate of D2 specific abnormalities in cortico-striatal synaptic plasticity. Reinforcement learning tasks with computational modeling could allow the identification of molecular targets for novel treatments based on their ability to restore normal reward-learning behavior in these patients.

Microstructure Construction of Pearl Necklace Like Structured Fe3O4/MWCNT Composites for Li-Ion Battery

2021 ◽  
Vol 16 (3) ◽  
pp. 343-350
Author(s):  
Heng Liu ◽  
Wenyi Tang ◽  
Mu Zhang ◽  
Xudong Sun
Keyword(s):  
Composite Material ◽  
Redox Reaction ◽  
Specific Capacity ◽  
Excellent Electrochemical Performance ◽  
Experimental Parameters ◽  
Electrochemical Redox ◽  
Li Ion ◽  
Pass Through ◽  
Controllable Preparation ◽  
Addition Amount

The unique “necklace-like” structure of Fe3O4/MWCNT composites endows it with excellent electrochemical performance. The “necklace-like” nanostructure of Fe3O4/MWCNT designed to overcome the limits of Fe3O4’s low conductivity. Lithium ions pass through the tubular tunnel of MWCNT to reach the center of Fe3O4 microspheres, and thus a redox reaction that diffuses from the inside to the outside occurs. The microstructure of nano Fe3O4/MWCNT composites was designed by adjusting the addition amount of Fe3+, solvothermal time, addition amount of precipitant and electrochemical redox reaction. Realize the control of Fe3O4 microsphere size from 100 nm to 400 nm, the optimal discharge specific capacity of the composite material is as high as 1080 mAh/g, and it has good cycle reversibility. The adjustment of experimental parameters is used to realize the controllable preparation of the size, density, and microstructure composition of the composite material, and the Fe3O4/MWCNT microstructure adjustment is achieved by means of the redox reaction and ion implantation in the electrochemical reaction process.

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