A quantitative description of membrane current and its application to conduction and excitation in nerve
By Hodgkin Al, Huxley Af. 1952
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- J. Urgen Schmidhuber
- Karl J. Friston
- Yoshua Bengio
- Sergey Levine
- Andrea Soltoggio
- Wulfram Gerstner
- Xiao-Jing Wang
- Dacheng Tao
Citations in the corpus
- Deep learning in neural networks: An overview (2014, background): “Current GPUs, however, are little ovens, much hungrier for energy than biological brains, whose neurons efficiently communicate by brief spikes (FitzHugh, 1961; Hodgkin & Huxley, 1952; Nagumo, Arimoto, & Yoshizawa, 1962), and often remain quiet.”
- Synchronization and rhythmic processes in physiology (2001, background): “fn&14t&g(fn, A) (mod 1), where g(f, 2 1 p } arccos (5)”
- Micro-LED arrays: a tool for two-dimensional neuron stimulation (2008, background): “Over the years we have gained considerable insight into the functioning of neurons since the original discoveries by Hodgkin and Huxley (1952).”
- Dynamics and Effective Topology Underlying Synchronization in Networks of Cortical Neurons (2006, unknown): “The assumed kinetic schemes for s ( A , t ) and i ( A , t ) are similar to the form used by Hodgkin and Huxley ( 1952 ) in their description of a neuronal action potential ; that is , ( 1 Ϫ i ) N i and ( 1 Ϫ s ) N s , with transition rates being exponential functions of A ( t ) .”
- Feed-Forward versus Feedback Inhibition in a Basic Olfactory Circuit (2015, methodology): “Membrane potentials: PN and LN membrane potential equations [26]”
- Dynamical principles in neuroscience (2006, background): “Many of these bifurcations are observed both in experiments and in models, in particular in the conductancebased Hodgkin-Huxley–type equations Hodgkin and Huxley, 1952 , considered the traditional framework for modeling neurons, and in the analysis of network stability and plasticity.”
- Dendritic excitability and synaptic plasticity. (2008, unknown): “In the case of the axon, for example, it has been known for decades that an AP propagates actively (300).”
- Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. (2005, background): “While detailed conductance-based neuron models with tens of ion channels of the Hodgkin-Huxley type (Hille 2001; Hodgkin and Huxley 1952) can, in principle, capture the electrophysiological behavior of neurons in great detail, the tuning of up to a hundred or more parameters to specific neuron types…”