Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Douglas Zhou"'
Publikováno v:
Physical Review Research, Vol 4, Iss 1, p L012009 (2022)
From among the waves whose dynamics are governed by the nonlinear Schrödinger equation, we find a robust, spatiotemporally disordered family, in which waves initialized with increasing amplitudes, on average, over long timescales, effectively evolve
Externí odkaz:
https://doaj.org/article/c77728c588eb4bd9b1fc5556b6cc57af
Autor:
Zhong-qi Kyle Tian, Douglas Zhou
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2020)
The exponential time differencing (ETD) method allows using a large time step to efficiently evolve stiff systems such as Hodgkin-Huxley (HH) neural networks. For pulse-coupled HH networks, the synaptic spike times cannot be predetermined and are con
Externí odkaz:
https://doaj.org/article/4f9d944d25634ef5942e295c542d7fff
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
Abstract Interneurons are important for computation in the brain, in particular, in the information processing involving the generation of theta oscillations in the hippocampus. Yet the functional role of interneurons in the theta generation remains
Externí odkaz:
https://doaj.org/article/11e3499ed81f4b35a634a45579a6ab81
Autor:
Victor J. Barranca, Douglas Zhou
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Determining the structure of a network is of central importance to understanding its function in both neuroscience and applied mathematics. However, recovering the structural connectivity of neuronal networks remains a fundamental challenge both theo
Externí odkaz:
https://doaj.org/article/22cfb1b1bdea4c88a785a727b0be9b4c
Publikováno v:
Frontiers in Computational Neuroscience, Vol 13 (2019)
Many brain regions communicate information through synchronized network activity. Electrical coupling among the dendrites of interneurons in the cortex has been implicated in forming and sustaining such activity in the cortex. Evidence for the existe
Externí odkaz:
https://doaj.org/article/877395b6bc3b4ae79cfb4d827df7ad3b
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 3, p e1006871 (2019)
The interplay between excitatory and inhibitory neurons imparts rich functions of the brain. To understand the synaptic mechanisms underlying neuronal computations, a fundamental approach is to study the dynamics of excitatory and inhibitory synaptic
Externí odkaz:
https://doaj.org/article/b8fe9c6b7de14967aa8b8502284a0a7b
Publikováno v:
Frontiers in Computational Neuroscience, Vol 12 (2019)
It is hypothesized that cortical neuronal circuits operate in a global balanced state, i.e., the majority of neurons fire irregularly by receiving balanced inputs of excitation and inhibition. Meanwhile, it has been observed in experiments that senso
Externí odkaz:
https://doaj.org/article/83d22645dff841b289b6cd6001a884be
Publikováno v:
Frontiers in Computational Neuroscience, Vol 12 (2018)
Some previous studies have shown that chaotic dynamics in the balanced state, i.e., one with balanced excitatory and inhibitory inputs into cortical neurons, is the underlying mechanism for the irregularity of neural activity. In this work, we focus
Externí odkaz:
https://doaj.org/article/e380f9516673471a83d9bfcf5a3e1086
Publikováno v:
Frontiers in Computational Neuroscience, Vol 12 (2018)
Synaptic plasticity is believed to be the biological substrate underlying learning and memory. One of the most widespread forms of synaptic plasticity, spike-timing-dependent plasticity (STDP), uses the spike timing information of presynaptic and pos
Externí odkaz:
https://doaj.org/article/3e7a9de83d6d48a98c833889e6f0f9ae
Publikováno v:
Frontiers in Computational Neuroscience, Vol 11 (2017)
How neurons are connected in the brain to perform computation is a key issue in neuroscience. Recently, the development of calcium imaging and multi-electrode array techniques have greatly enhanced our ability to measure the firing activities of neur
Externí odkaz:
https://doaj.org/article/d801b43f435c42229f5fcad983427b71