Antiferromagnetic artificial neuron modeling of the withdrawal reflex [0.03%]
反铁磁人工神经元 Withdrawal 反射模型
Hannah Bradley,Lily Quach,Steven Louis et al.
Hannah Bradley et al.
Replicating neural responses observed in biological systems using artificial neural networks holds significant promise in the fields of medicine and engineering. In this study, we employ ultra-fast artificial neurons based on antiferromagne...
Incorporating slow NMDA-type receptors with nonlinear voltage-dependent magnesium block in a next generation neural mass model: derivation and dynamics [0.03%]
下一代神经元群体模型中慢NMDA型受体的非线性电压依赖性镁阻滞的动力学及推导
Hiba Sheheitli,Viktor Jirsa
Hiba Sheheitli
We derive a next generation neural mass model of a population of quadratic-integrate-and-fire neurons, with slow adaptation, and conductance-based AMPAR, GABAR and nonlinear NMDAR synapses. We show that the Lorentzian ansatz assumption can ...
Ingo Bojak,Christiane Linster,Thomas Nowotny
Ingo Bojak
Sage Shaw,Zachary P Kilpatrick
Sage Shaw
Traveling waves of neural activity emerge in cortical networks both spontaneously and in response to stimuli. The spatiotemporal structure of waves can indicate the information they encode and the physiological processes that sustain them. ...
Analysis of hippocampal local field potentials by diffusion mapped delay coordinates [0.03%]
利用扩散映射延迟坐标分析海马局部场电位
D A Gonzalez,J H Peel,T Pagadala et al.
D A Gonzalez et al.
Spatial navigation through novel spaces and to known goal locations recruits multiple integrated structures in the mammalian brain. Within this extended network, the hippocampus enables formation and retrieval of cognitive spatial maps and ...
A mean-field model of gamma-frequency oscillations in networks of excitatory and inhibitory neurons [0.03%]
一种关于兴奋性神经元和抑制性神经元网络中γ频段振荡的平均场模型
Farzin Tahvili,Alain Destexhe
Farzin Tahvili
Gamma oscillations are widely seen in the cerebral cortex in different states of the wake-sleep cycle and are thought to play a role in sensory processing and cognition. Here, we study the emergence of gamma oscillations at two levels, in n...
A voltage-based Event-Timing-Dependent Plasticity rule accounts for LTP subthreshold and suprathreshold for dendritic spikes in CA1 pyramidal neurons [0.03%]
基于电压的事件时间依赖性可塑性规则解释CA1锥体神经元树突放电次阈值和超阈值的LTP
Matus Tomko,Lubica Benuskova,Peter Jedlicka
Matus Tomko
Long-term potentiation (LTP) is a synaptic mechanism involved in learning and memory. Experiments have shown that dendritic sodium spikes (Na-dSpikes) are required for LTP in the distal apical dendrites of CA1 pyramidal cells. On the other ...
Neural waves and computation in a neural net model I: Convolutional hierarchies [0.03%]
神经波与计算在神经网络模型中的应用I：卷积层次结构
Stephen Selesnick
Stephen Selesnick
The computational resources of a neuromorphic network model introduced earlier are investigated in the context of such hierarchical systems as the mammalian visual cortex. It is argued that a form of ubiquitous spontaneous local convolution...
Ion-concentration gradients induced by synaptic input increase the voltage depolarization in dendritic spines [0.03%]
由突触输入引起的离子浓度梯度增加树突棘中的电压去极化
Florian Eberhardt
Florian Eberhardt
The vast majority of excitatory synaptic connections occur on dendritic spines. Due to their extremely small volume and spatial segregation from the dendrite, even moderate synaptic currents can significantly alter ionic concentrations. Thi...
A biophysically comprehensive model of urothelial afferent neurons: implications for sensory signalling in urinary bladder [0.03%]
尿路上皮传入神经的生物物理综合模型：对尿膀胱感觉信号传导的意义
Satchithananthi Aruljothi,Rohit Manchanda
Satchithananthi Aruljothi
The urothelium is the innermost layer of the bladder wall; it plays a pivotal role in bladder sensory transduction by responding to chemical and mechanical stimuli. The urothelium also acts as a physical barrier between urine and the outer ...