A5101545617- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Neural Networks and Applications
- Tryptophan and brain disorders
- Neurotransmitter Receptor Influence on Behavior
- Neurogenesis and neuroplasticity mechanisms
- Visual Attention and Saliency Detection
- Treatment of Major Depression
- CCD and CMOS Imaging Sensors
- Nicotinic Acetylcholine Receptors Study
- Toxic Organic Pollutants Impact
- Effects and risks of endocrine disrupting chemicals
- Memory and Neural Mechanisms
- Neuroscience and Neuropharmacology Research
- Psychedelics and Drug Studies
- Anesthesia and Neurotoxicity Research
Qingdao University
2021
Fudan University
2003-2009
Academy of Military Medical Sciences
2005
Institute of Pharmacology
2005
Background: Psilocybin offers new hope for treating mood disorders due to its rapid and sustained antidepressant effects, as standard medications require weeks or months exert their effects. However, the mechanisms underlying this action of psilocybin have not been identified. Aims: To investigate whether has antidepressant-like effects in mice potential are related promoted neuroplasticity. Methods: We first examined normal by forced swimming test chronic corticosterone (CORT)-exposed...
Abstract Background and Purpose The emerging antidepressant effects of ketamine have inspired tremendous interest in its underlying neurobiological mechanisms, although the involvement 5‐HT remains unclear. Experimental approach chronic restraint stress procedure was performed to induce depression‐like behaviours mice. OFT, FST, TST, NSFT tests were used evaluate antidepressant‐like ketamine. Tph2 knockout or depletion by PCPA 5,7‐DHT manipulate brain system. ELISA fibre photometry...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> There have been many computational models mimicking the visual cortex that are based on spatial adaptations of unsupervised neural networks. In this paper, we present a new model called neuronal cluster which includes as well temporal weights in its unified adaptation scheme. The "in-place" nature is two biologically plausible learning rules, Hebbian rule and lateral inhibition. We mathematical...
A new model of orientation detection and attention selection based on unit-linking PCNN (pulse coupled neural network), which is a kind spiking network exhibiting synchronous pulse bursts has biological support, introduced. This model, including two layers (the layer the layer), mimics visual cortex, realizes with TOP-DOWN mechanism by periodical oscillation contour interesting object. In layer, chain code object used to express prior knowledge
Even in the field of biology, principle how knowledge can be efficiently utilized a neural network has not been solved perfectly. This paper discusses new model based on structure V1 area biological visual system for matching. The contour object is stored as form chain code. During matching process, code presented to control dynamics neuron V1-similar network. Cooperating with dynamic weights, active neurons will reconstruct object's at place where field. an exploration represented and brain.