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相关论文: A Mathematical model for Astrocytes mediated LTP a…

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In the mammalian nervous system, various synaptic plasticity rules act, either individually or synergistically, and over wide-ranging timescales to dictate the processes that enable learning and memory formation. To mimic biological…

无序系统与神经网络 · 物理学 2021-06-11 Syed Ghazi Sarwat , Benedikt Kersting , Timoleon Moraitis , Vara Prasad Jonnalagadda , Abu Sebastian

Experiments have shown that the same stimulation pattern that causes Long-Term Potentiation in proximal synapses, will induce Long-Term Depression in distal ones. In order to understand these, and other, surprising observations we use a…

神经元与认知 · 定量生物学 2020-11-20 Claire Meissner-Bernard , Matthias Tsai , Laureline Logiaco , Wulfram Gerstner

While there is still a lot to learn about astrocytes and their neuromodulatory role in the spatial and temporal integration of neuronal activity, their introduction to neuromorphic hardware is timely, facilitating their computational…

神经与进化计算 · 计算机科学 2019-09-20 Guangzhi Tang , Ioannis E. Polykretis , Vladimir A. Ivanov , Arpit Shah , Konstantinos P. Michmizos

Protein synthesis-dependent, late long-term potentiation (LTP) and depression (LTD) at glutamatergic hippocampal synapses are well characterized examples of long-term synaptic plasticity. Persistent increased activity of the enzyme protein…

神经元与认知 · 定量生物学 2015-03-13 Paul Smolen , Douglas A. Baxter , John H. Byrne

Deciphering the complex interactions between neurotransmission and astrocytic $Ca^{2+}$ elevations is a target promising a comprehensive understanding of brain function. While the astrocytic response to excitatory synaptic activity has been…

细胞行为 · 定量生物学 2019-03-19 Ioannis E. Polykretis , Vladimir A. Ivanov , Konstantinos P. Michmizos

Neuronal networking supports complex brain functions, with neurotransmitters facilitating communication through chemical synapses. The release probability of neurotransmitters varies and is influenced by pre-synaptic neuronal activity.…

神经元与认知 · 定量生物学 2024-06-12 Zihan Liu , Flavia Nathaline Chanentia , Patteera Supvithayanong , Chi Chung Alan Fung

Biocomputing technologies exploit biological communication mechanisms involving cell-cell signal propagation to perform computations. Researchers recently worked toward realising logic gates made by neurons to develop novel devices such as…

新兴技术 · 计算机科学 2022-09-07 Giulio Basso , Michael Taynnan Barros

Various neurophysiological and cognitive functions are based on transferring information between spiking neurons via a complex system of synaptic connections. In particular, the capacity of presynaptic inputs to influence the postsynaptic…

神经元与认知 · 定量生物学 2018-10-30 Y. Dabaghian

Within the complex neuroarchitecture of the brain, astrocytes play crucial roles in development, structure, and metabolism. These cells regulate neural activity through tripartite synapses, directly impacting cognitive processes such as…

神经与进化计算 · 计算机科学 2023-12-27 Guobin Shen , Dongcheng Zhao , Yiting Dong , Yang Li , Jindong Li , Kang Sun , Yi Zeng

Understanding the role of astrocytes in brain computation is a nascent challenge, promising immense rewards, in terms of new neurobiological knowledge that can be translated into artificial intelligence. In our ongoing effort to identify…

神经元与认知 · 定量生物学 2018-07-10 Ioannis Polykretis , Vladimir Ivanov , Konstantinos P. Michmizos

In the mammalian brain newly acquired memories depend on the hippocampus for maintenance and recall, but over time these functions are taken over by the neocortex through a process called systems consolidation. However, reactivation of a…

神经元与认知 · 定量生物学 2019-03-29 Peter Helfer , Thomas R. Shultz

Recent biological experimental findings have shown that synaptic plasticity depends on the relative timing of pre- and post-synaptic spikes and this is called spike-timing-dependent plasticity (STDP). Many authors have claimed that a…

无序系统与神经网络 · 物理学 2007-05-23 Narihisa Matsumoto , Masato Okada

Short-term synaptic plasticity (STP) is often regarded as a presynaptic filter of spikes, independent of postsynaptic activity. Recent experiments, however, indicate an associative STP that depends on pre- and postsynaptic coactivation. We…

神经元与认知 · 定量生物学 2026-05-20 Genki Shimizu , Taro Toyoizumi

We present a mathematical model which explains and interprets a novel form of short-term potentiation, which was found to be use-, but not time-dependent, in experiments done on Lymnaea neurons. The high degree of potentiation is explained…

生物物理 · 物理学 2014-03-05 Anita Mehta , Jean-Marc Luck , Collin C. Luk , Naweed I. Syed

Synapses change on multiple timescales, ranging from milliseconds to minutes, due to a combination of both short- and long-term plasticity. Here we develop an extension of the common Generalized Linear Model to infer both short- and…

神经元与认知 · 定量生物学 2022-08-15 Ganchao Wei , Ian H. Stevenson

Recent experimental studies strongly suggest the influence of glial purinergic transmission in the modulation of synaptic dynamics. By releasing adenosine triphosphate (ATP), which accumulates as adenosine, astrocytes tonically suppressed…

神经元与认知 · 定量生物学 2009-09-17 Hamid Reza Noori

A mathematical model of a spiking neuron network accompanied by astrocytes is considered. The network is composed of excitatory and inhibitory neurons with synaptic connections supplied by a memristor-based model of plasticity. Another…

Synaptic plasticity is vital for learning and memory in the brain. It consists of long-term potentiation (LTP) and long-term depression (LTD). Spike frequency is one of the major components of synaptic plasticity in the brain, a noisy…

神经元与认知 · 定量生物学 2021-08-13 Yuto Takeda , Katsuhiko Hata , Tokio Yamasaki , Masaki Kaneko , Osamu Yokoi , Chengta Tsai , Kazuo Umemura , Tetsuro Nikuni

The Internet of Bio-Nano-Things is a new paradigm that can bring novel remotely controlled actuation and sensing techniques inside the human body. Towards precise bionano sensing techniques in the brain, we investigate the challenges of…

新兴技术 · 计算机科学 2018-10-23 Michael Taynnan Barros , Walisson Silva , Carlos Danilo Miranda Regis

The quadratic complexity of self-attention mechanism presents a significant impediment to applying Transformer models to long sequences. This work explores computational principles derived from astrocytes-glial cells critical for biological…

神经与进化计算 · 计算机科学 2026-03-03 Md Zesun Ahmed Mia , Malyaban Bal , Abhronil Sengupta