TY - GEN
T1 - Impact of frequency on the energetic efficiency of action potentials
AU - Singh, Anand
AU - Magistretti, Pierre J.
AU - Weber, Bruno
AU - Jolivet, Renaud
PY - 2012
Y1 - 2012
N2 - Sodium entry during the decaying phase of the action potential determines the metabolic efficiency of a neuron's spiking mechanism. Recent studies have reported that mammalian action potentials are close to metabolic optimality but that fast-spiking inhibitory neurons are less efficient than their pyramidal counterparts. It is postulated that this represents nature's tradeoff between metabolic efficiency and the ability to discharge at high rates. Using eight different published Hodgkin-Huxley models of mammalian neurons to cover a wide range of action potential metabolic efficiencies, we show that the cost of operating a neuron is heavily dependent on its output frequency. We observe that this cost is significantly smaller than the frequency-dependent cost naively estimated from an isolated action potential, the gap increasing with increasing frequencies. Our results demonstrate that metabolic efficiency cannot be considered only in terms of isolated action potentials but must be studied over a range of meaningful frequencies.
AB - Sodium entry during the decaying phase of the action potential determines the metabolic efficiency of a neuron's spiking mechanism. Recent studies have reported that mammalian action potentials are close to metabolic optimality but that fast-spiking inhibitory neurons are less efficient than their pyramidal counterparts. It is postulated that this represents nature's tradeoff between metabolic efficiency and the ability to discharge at high rates. Using eight different published Hodgkin-Huxley models of mammalian neurons to cover a wide range of action potential metabolic efficiencies, we show that the cost of operating a neuron is heavily dependent on its output frequency. We observe that this cost is significantly smaller than the frequency-dependent cost naively estimated from an isolated action potential, the gap increasing with increasing frequencies. Our results demonstrate that metabolic efficiency cannot be considered only in terms of isolated action potentials but must be studied over a range of meaningful frequencies.
KW - Hodgkin-Huxley-type models
KW - action potential
KW - energetic efficiency
KW - energy metabolism
KW - frequency dependence
UR - http://www.scopus.com/inward/record.url?scp=84867673899&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-33269-2_14
DO - 10.1007/978-3-642-33269-2_14
M3 - Conference contribution
AN - SCOPUS:84867673899
SN - 9783642332685
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 105
EP - 112
BT - Artificial Neural Networks and Machine Learning, ICANN 2012 - 22nd International Conference on Artificial Neural Networks, Proceedings
T2 - 22nd International Conference on Artificial Neural Networks, ICANN 2012
Y2 - 11 September 2012 through 14 September 2012
ER -