In modern neuroscience, memory has been postulated to stored in neural circuits as sequential spike train and Reverberation is one of the specific example.Former research has made much progress on phenomenon description. However, the mechanism of reverberation has been unclear yet. In this study, combining electrophysiological record and numerical simulation, we confirmed a formerly unrealized neuron property that is necessary for the burst generation in reverberation. Secondly, we find out the mechanism of sequential pattern generation which clearly explained by network topology and asynchronous neurotransmitter release. In addition, we also developed a pipeline that could design the network fire in manually set order. Thirdly, we ex...
Synaptic connections in neuronal circuits are modulated by pre- and post-synaptic spiking activity. ...
The brain can efficiently learn a wide range of tasks, motivating the search for biologically inspir...
The nervous system, more specifically, the brain, is capable of solving complex problems simply and ...
The concept of reverberation proposed by Lorente de Nó and Hebb is key to understanding strongly rec...
Contains fulltext : 71480.pdf (publisher's version ) (Open Access)In a biologicall...
Traveling waves in the developing brain are a prominent source of highly correlated spiking activity...
We present a minimal spiking network that can polychronize, that is, exhibit reproducible time-locke...
Wepresent amodel of spike-driven synaptic plasticity inspired by exper-imental observations and moti...
Neural oscillations can enhance feature recognition, modulate interactions between neurons, and impr...
Experimental studies have observed synaptic potentiation when a presynaptic neuron fires shortly bef...
It is commonly believed that our brains serve as information processing systems. Therefore, common m...
It has previously been shown that by using spike-timing-dependent plasticity (STDP), neurons can ada...
Biological neural networks with many plastic synaptic connections can store external input informati...
Neural oscillations can enhance feature recognition (Azouz and Gray Proceedings of the National Acad...
© 2014 Dr. Robert Roy KerrA fundamental goal of neuroscience is to understand how the brain encodes ...
Synaptic connections in neuronal circuits are modulated by pre- and post-synaptic spiking activity. ...
The brain can efficiently learn a wide range of tasks, motivating the search for biologically inspir...
The nervous system, more specifically, the brain, is capable of solving complex problems simply and ...
The concept of reverberation proposed by Lorente de Nó and Hebb is key to understanding strongly rec...
Contains fulltext : 71480.pdf (publisher's version ) (Open Access)In a biologicall...
Traveling waves in the developing brain are a prominent source of highly correlated spiking activity...
We present a minimal spiking network that can polychronize, that is, exhibit reproducible time-locke...
Wepresent amodel of spike-driven synaptic plasticity inspired by exper-imental observations and moti...
Neural oscillations can enhance feature recognition, modulate interactions between neurons, and impr...
Experimental studies have observed synaptic potentiation when a presynaptic neuron fires shortly bef...
It is commonly believed that our brains serve as information processing systems. Therefore, common m...
It has previously been shown that by using spike-timing-dependent plasticity (STDP), neurons can ada...
Biological neural networks with many plastic synaptic connections can store external input informati...
Neural oscillations can enhance feature recognition (Azouz and Gray Proceedings of the National Acad...
© 2014 Dr. Robert Roy KerrA fundamental goal of neuroscience is to understand how the brain encodes ...
Synaptic connections in neuronal circuits are modulated by pre- and post-synaptic spiking activity. ...
The brain can efficiently learn a wide range of tasks, motivating the search for biologically inspir...
The nervous system, more specifically, the brain, is capable of solving complex problems simply and ...